Miracle-dz/UniFAR-FTUs huggingface dataset:
Bulletin Personality and Social Psychology on the Automatic Association between America and Aggression for News Watchers on Behalf Of: Society for Personality and Social Psychology on the Automatic Association between America and Aggression for News Watchers

background, they can nevertheless subtly " remind " people of their status as national citizens (see Billig, 1995). For instance, an American flag hanging in front of the public library can reinforce a passerby's identification as a citizen of the United States, whatever that might entail. In this way, nationalistic cues can operate below the radar to maintain and reinforce nationalism and related ideologies This suggests the possibility that such cues might be both associated with a rich array of knowledge, and able to activate that knowledge without people's awareness or consent. Consistent with this possibility, research in social and cognitive psychology has demonstrated that the mere perception of a given stimulus can lead to a host of implicit effects on behavior (e. of any stimulus activates an array of associated memories that can then nonconsciously influence how the person interprets and responds to his or her world. This research would therefore predict that we may at times unknowingly and unintentionally think or behave in line with nationalistic cues, even those by which we would prefer to remain uninfluenced (see Wilson & Brekke, 1994).
FGFR inhibitors: Effects on cancer cells, tumor microenvironment and whole-body homeostasis (Review)

Fibroblast growth factor (FGF)2, FGF4, FGF7 and FGF20 are representative paracrine FGFs binding to heparan-sulfate proteoglycan and fibroblast growth factor receptors (FGFRs), whereas FGF19, FGF21 and FGF23 are endocrine FGFs binding to Klotho and FGFRs. FGFR1 is relatively frequently amplified and overexpressed in breast and lung cancer, and FGFR2 in gastric cancer. BCR-FGFR1, CNTRL-FGFR1, CUX1-FGFR1, FGFR1OP-FGFR1, MYO18A-FGFR1 and ZMYM2-FGFR1 fusions in myeloproliferative neoplasms are non-receptor-type FGFR kinases, whereas FGFR1-TACC1, FGFR2-AFF3, FGFR2-BICC1, FGFR2-PPHLN1, FGFR3-BAIAP2L1 and FGFR3-TACC3 fusions in solid tumors are transmembrane-type FGFRs with C-terminal alterations. AZD4547, BGJ398 (infigratinib), Debio-1347 and dovitinib are FGFR1/2/3 inhibitors; BLU9931 is a selective FGFR4 inhibitor; FIIN-2, JNJ-42756493, LY2874455 and ponatinib are pan-FGFR inhibitors. AZD4547, dovitinib and ponatinib are multi-kinase inhibitors targeting FGFRs, colony stimulating factor 1 receptor (CSF1R), vascular endothelial growth factor (VEGF)R2, and others. The tumor microenvironment consists of cancer cells and stromal/immune cells, such as cancer-associated fibroblasts (CAFs), endothelial cells, M2-type tumor-associating macrophages (M2-TAMs), myeloid-derived suppressor cells (MDSCs) and regulatory T cells. FGFR inhibitors elicit antitumor effects directly on cancer cells, as well as indirectly through the blockade of paracrine signaling. The dual inhibition of FGF and CSF1 or VEGF signaling is expected to enhance the antitumor effects through the targeting of immune evasion and angiogenesis in the tumor microenvironment. Combination therapy using tyrosine kinase inhibitors (FGFR or CSF1R inhibitors) and immune checkpoint blockers (anti-PD-1 or anti-CTLA-4 monoclonal antibodies) may be a promising choice for cancer patients. The inhibition of FGF19-FGFR4 signaling is associated with a risk of liver toxicity, whereas the activation of FGF23-FGFR4 signaling is associated with a risk of heart toxicity. Endocrine FGF signaling affects the pathophysiology of cancer patients who are prescribed FGFR inhibitors. Whole-genome sequencing is necessary for the detection of promoter/enhancer alterations of FGFR genes and rare alterations of other genes causing FGFR overexpression. To sustain the health care system in an aging society, a benefit-cost analysis should be performed with a focus on disease-free survival and the total medical cost before implementing genome-based precision medicine for cancer patients.
COST ANALYSIS OF REQUIREMENTS, DESIGN, AND CODE REVIEWS AND HOW THIS IMPACTS THE COST OF QUALITY

ii Acknowledgements iii Table of Figures v Glossary viii Chapter 1 – Intent 1 Chapter 2 – Hypothesis 3 Chapter 3 Process 4 Chapter 4 – Tool 6 Chapter 5 – Theoretical analysis 9 Chapter 6 – Results 11 6.1 – 40 Review Hours – Linear detection – 1000 defects 12 6.2 – 80 Review Hours – Linear detection – 1000 defect 16 6.3 – 160 Review Hours – Linear detection – 1000 defect 19 6.4 – 40 Review Hours 1000 defect 23 6.5 – 80 Review Hours 1000 defect 28 6.6 – 160 hour Review Hours 1000 defect 31 6.7 – 40-80-160 hour Review Hours 1000 defect 34 6.8–40-80-160 Hr Review Hours 1000 defect 37 6.9–40-80-160 Hr Review Hours 1000 defect 40 6.9– Actual Project Analysis 43 Chapter 7 – Findings 51 Chapter 8 – Conclusions 55
Spurious Tone Suppression Techniques Applied to a Wide-Bandwidth 2.4 GHz Fractional-N PLL

This paper demonstrates that spurious tones in the output of a fractional-N PLL can be reduced by replacing the DeltaSigma modulator with a new type of digital quantizer and adding a charge pump offset combined with a sampled loop filter. It describes the underlying mechanisms of the spurious tones, proposes techniques that mitigate the effects of the mechanisms, and presents a phase noise cancelling 2.4 GHz ISM-band CMOS PLL that demonstrates the techniques. The PLL has a 975 kHz loop bandwidth and a 12 MHz reference. Its phase noise has a worst-case reference spur power of - 70 dBc and a worst-case in-band fractional spur power of -64 dBc.
MODELS OF INTRAHOUSEHOLD RESOURCE ALLOCATION: ASSUMPTIONS AND EMPIRICAL TESTS

This paper reviews and analyzes a literature that examines the restrictiveness of focusing on households as single units of analysis. In particular, this literature asks: To what extent can we use the household as a unit of analysis, and when do we need to disaggregate the household and look at individual behavior within the household? In this paper, I examine the different models of intrahousehold resource allocation and the empirical work they have generated. Each of the models has a different set of assumptions about the four components of household decisions. The assumptions and predictions of each of the main models of intrahousehold resource allocation are presented; then I discuss the empirical work that tests the validity of the assumptions and discuss when the different models may be appropriate.
Non-perturbative renormalization of the axial current with dynamical Wilson fermions

We present a new normalization condition for the axial current, derived from the PCAC relation with non-vanishing quark mass. This condition is expected to reduce mass effects in the chiral extrapolation of the results for the normalization factor ZA. The application to the two-flavor theory with improved Wilson fermions shows that this expectation is indeed fulfilled. Using the Schrodinger functional setup we calculate ZA(g02) as well as the vector current normalization factor ZV(g02) for β = 6/g02 ≥ 5.2.
An Analysis of Perfect-Magnetic-Coupling Ultra-Low-Loss Micromachined SMIS RF Transformers for RFIC Applications

Selective removal of the silicon underneath a set of single-turn multilayer interlaced stacked (SMIS) radio-frequency (RF) transformers with nearly perfect magnetic-coupling factor (kIM~1) and high resistive-coupling factor (kRe) is demonstrated. This process is based on the inductively coupled-plasma (ICP) deep trench technology. Improvement of 20.6 and 15.7 dB in isolation (S21) were achieved at 5.2 and 8 GHz, respectively, for a dummy open device after the backside ICP etching. Q-factor increases of 102% (from 4.96 to 10.03) and 23.2% (from 2.24 to 2.76), GAmax increases of 11.8% (from 0.76 to 0.85) and 4.5% (from 0.88 to 0.92), and NFmin decreases of 0.49 dB (from 1.22 to 0.73 dB) and 0.19 dB (from 0.55 to 0.36 dB) were achieved at 5.2 and 8 GHz, respectively, for an SMIS transformer with an overall dimension of 170times240 mum2 after the backside ICP etching. The GAmax of 0.85 and 0.92 are both state-of-the-art results among all reported on-chip transformers. Furthermore, the reasons why the SMIS transformer exhibits better performances than the traditional bifilar and the traditional stacked transformer are explained. These results show that the micromachined SMIS transformers are very promising for RF integrated circuit applications
Visualization and Clustering of Author Social Networks

We visualize author information in a social network to alleviate the burden of researchers in their literature search. A user interface has been implemented allowing users to submit an author name for which they wish to begin the query process to article databases. Co-author, referenced author, and article keyword information are extracted from the search results. Directed edges connect with edge weights are computed based on the level of collaboration. We hypothesize that the author information in the social network structure is partitioned into cluster groups based on two criterias: (1) authors that tend to work in similar areas of research are grouped together, (2) authors that tend to work together frequently are grouped together. Used in combination, the visualized social network is separated into clusters of authors with topic labels summarizing the general area of study for those groups.
Research of parallel placed submarine cable route detection method

According to the impact of the submarine high voltage cable with a three-phase cable placed close to the route on submarine cable location detection, this paper clarifies basic detection methods for the submarine cable route, and also analyzes the distribution law of magnetic induction signal in the state of the adjacent multi-cable. Specific implemented measures of submarine cable location detection are summarized at the end of this paper. In addition, it solves the magnetic signal interference problem in the state of the adjacent multi-cable.
Computer software for performing likelihood tests of pedigree relationship using genetic markers

Molecular techniques are making ever more genetic markers available for use in parentage assignment, and measures of relatedness. We present a program, Kinship, designed to use likelihood techniques to test for any non‐inbred pedigree relationship between pairs of individuals, using single‐locus codominant genetic markers. Kinship calculates the likelihood that each pair of individuals in a data set are related by a given pedigree hypothesis, and likelihood ratios for any pair of hypotheses. The program also uses a simulation routine to attach statistical significance to its results.
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective

In the era of Big Data, data entries, even describing the same objects or events, can come from a variety of sources, where a data source can be a web page, a database or a person. Consequently, conflicts among sources become inevitable. To resolve the conflicts and achieve high quality data, truth discovery and crowdsourcing aggregation have been studied intensively. However, although these two topics have a lot in common, they are studied separately and are applied to different domains. To answer the need of a systematic introduction and comparison of the two topics, we present an organized picture on truth discovery and crowdsourcing aggregation in this tutorial. They are compared on both theory and application levels, and their related areas as well as open questions are discussed.
Survey of Locating & Routing in Peer-to-Peer Systems

Peer-to-peer computing is a term used to describe the current trend toward utilizing the full resources available within a widely distributed network of nodes with increasing computational power. These resources include the exchange of information, processing cycles, cache storage, and disk storage for files. Routing, locating and transmitting of resources, becomes an extremely important issue then. First steps toward robust peer-to-peer systems include extensions of centralized models of resource sharing (e.g. Napster), but more recent attempts acknowledge the limitations of such systems and also address issues of performance, reliability, scalability, maintenance, and usability. We focus on the problem of sharing data and in the context of these issues offer a survey of the following systems: Napster, Gnutella, TRIAD, Pastry, Plaxton, Tapestry, Chord, and CAN. The upshot is that we isolate what we see as both the crucial issues and solutions to the challenge of routing in the peer-to-peer environment, give a comparative summary for all systems. Finally based on framework and analysis, we propose some further questions and potential approaches for future investigation.
klf2a sh317 Mutant Zebrafish Do Not Recapitulate Morpholino-Induced Vascular and Haematopoietic Phenotypes

Introduction and Objectives The zinc-finger transcription factor Krϋppel-like factor 2 (KLF2) transduces blood flow into molecular signals responsible for a wide range of responses within the vasculature. KLF2 maintains a healthy, quiescent endothelial phenotype. Previous studies report a range of phenotypes following morpholino antisense oligonucleotide-induced klf2a knockdown in zebrafish. Targeted genome editing is an increasingly applied method for functional assessment of candidate genes. We therefore generated a stable klf2a mutant zebrafish and characterised its cardiovascular and haematopoietic development. Methods and Results Using Transcription Activator-Like Effector Nucleases (TALEN) we generated a klf2a mutant (klf2a sh317) with a 14bp deletion leading to a premature stop codon in exon 2. Western blotting confirmed loss of wild type Klf2a protein and the presence of a truncated protein in klf2a sh317 mutants. Homozygous klf2a sh317 mutants exhibit no defects in vascular patterning, survive to adulthood and are fertile, without displaying previously described morphant phenotypes such as high-output cardiac failure, reduced haematopoetic stem cell (HSC) development or impaired formation of the 5th accessory aortic arch. Homozygous klf2a sh317 mutation did not reduce angiogenesis in zebrafish with homozygous mutations in von Hippel Lindau (vhl), a form of angiogenesis that is dependent on blood flow. We examined expression of three klf family members in wildtype and klf2a sh317 zebrafish. We detected vascular expression of klf2b (but not klf4a or biklf/klf4b/klf17) in wildtypes but found no differences in expression that might account for the lack of phenotype in klf2a sh317 mutants. klf2b morpholino knockdown did not affect heart rate or impair formation of the 5th accessory aortic arch in either wildtypes or klf2a sh317 mutants. Conclusions The klf2a sh317 mutation produces a truncated Klf2a protein but, unlike morpholino induced klf2a knockdown, does not affect cardiovascular development.
Non-Parametric Regression for Binary Dependent Variables

Finite-sample properties of non-parametric regression for binary dependent variables are analyzed. Non parametric regression is generally considered as highly variable in small samples when the number of regressors is large. In binary choice models, however, it may be more reliable since its variance is bounded. The precision in estimating conditional means as well as marginal effects is investigated in settings with many explanatory variables (14 regressors) and small sample sizes (250 or 500 observations). The Klein-Spady estimator, Nadaraya-Watson regression and local linear regression often perform poorly in the simulations. Local likelihood logit regression, on the other hand, is 25 to 55% more precise than parametric regression in the Monte Carlo simulations. In an application to female labour supply, local logit finds heterogeneity in the effects of children on employment that is not detected by parametric or semiparametric estimation. (The semiparametric estimator actually leads to rather similar results as the parametric estimator.) Copyright Royal Economic Society 2006
Example-Specific Density Based Matching Kernels for Scene Classification Using Support Vector Machines

In this paper, we propose the example-specific density based matching kernel (ESDMK) for classification of scene images represented as sets of local feature vectors. The proposed kernel is computed between the pair of examples, represented as sets of local feature vectors, by matching the estimates of example-specific densities computed at every local feature vector in those two examples. In this work, the number of local feature vectors of an example among the K nearest neighbors of a local feature vector is considered as an estimate of the example-specific density. The minimum of the two example-specific densities, one for each example, at a local feature vector is considered as the matching score. The ESDMK is then computed as the sum of the matching score computed at every local feature vector in a pair of examples. We also propose the spatial ESDMK (SESDMK) to include spatial information present in the scene images while matching the pair of scene images. Each of the scene images is divided spatially into a fixed number of regions. Then the SESDMK is computed as a combination of region specific ESDMKs that match the corresponding regions. We study the performance of the support vector machine (SVM) based classifiers using the proposed ESDMKs for scene classification and compare with that of the SVM-based classifiers using the state-of-the-art kernels for sets of local feature vectors.
TECHLIMED system description for the Shared Task on Automatic Arabic Error Correction

This article is a system description paper and reports on the participation of Techlimed in the ”QALB-2014 shared task” on evaluation of automatic arabic error correction systems organized in conjunction with the EMNLP 2014 Workshop on Arabic Natural Language Processing. Correcting automatically texts in Arabic is a challenging task due to the complexity and rich morphology of the Arabic language and the lack of appropriate resources, (e.g. publicly available corpora and tools). To develop our systems, we considered several approaches from rule based systems to statistical methods. Our results on the development set show that the statistical system outperforms the lexicon driven approach with a precision of 71%, a recall of 50% and a F-measure of 59%.
Drivers of bacterial diversity dynamics in permeable carbonate and silicate coral reef sands from the Red Sea

Permeable sediments and associated microbial communities play a fundamental role in nutrient recycling within coral reef ecosystems by ensuring high levels of primary production in oligotrophic environments. A previous study on organic matter degradation within biogenic carbonate and terrigenous silicate reef sands in the Red Sea suggested that observed sand-specific differences in microbial activity could be caused by variations in microbial biomass and diversity. Here, we tested this hypothesis by comparing bacterial abundance and community structure in both sand types, and by further exploring the structuring effects of time (season) and space (sediment depth, in/out-reef). Changes in bacterial community structure, as determined via automated ribosomal intergenic spacer analysis (ARISA), were primarily driven by sand mineralogy at specific seasons, sediment depths and reef locations. By coupling ARISA with 16S-ITS rRNA sequencing, we detected significant community shifts already at the bacterial class level, with Proteobacteria (Gamma-, Delta-, Alpha-) and Actinobacteria being prominent members of the highly diverse communities. Overall, our findings suggest that reef sand-associated bacterial communities vary substantially with sand type. Especially in synergy with environmental variation over time and space, mineralogical differences seem to play a central role in maintaining high levels of bacterial community heterogeneity. The local co-occurrence of carbonate and silicate sands may thus significantly increase the availability of microbial niches within a single coral reef ecosystem.
Clustering Historical Documents Based on the Reconstruction Error of Autoencoders

The term "historical documents" encompasses an enormous variety of document types considering different scripts, languages, writing supports, and degradation degrees. For automatic processing with machine learning and pattern recognition methods, it would be ideal to share labeled learning samples and trained statistical models across similar documents, avoiding a retraining from scratch for every historical document anew. In this paper, we propose using the reconstruction error of autoencoders to compare historical manuscripts with the goal of clustering them according to their visual appearance. A low reconstruction error suggests visual similarity between a new manuscript and a known manuscript, for which the autoencoder was trained in an unsupervised fashion. Preliminary experiments conducted on 10 different manuscripts written with ink on parchment demonstrate the ability of the reconstruction error to group similar writing styles. For discriminating between Carolingian and cursive script, in particular, near-perfect results are reported.
Maximizing the Economic-Performance of Data-Repositories: Configuring the Optimal Time-Span

Corporate data-repositories within data-warehousing environments are extensively used for decision making and businessintelligence applications. Managing the growing repositories involves high implementation and maintenance costs that are largely quantifiable. Conversely, the value-contribution of such repositories has rarely been quantified and organizations often debate whether the value-gained justifies the costs incurred. Building upon an optimization model proposed earlier, this study furthers our understanding of the value of data-repositories. Based on the premise that design choices associated with a data-repository affect its value-contribution and costs, this study explores formulations that model these effects. Such models are powerful tools for cost-benefit assessment of data-reposito ries and can direct economically-optimal design in data management environments. The model is demonstrated for configuring the optimal time-span for a data-repository.
Receptor tyrosine kinase Met promotes cell survival via kinase-independent maintenance of integrin α3β1

This study identifies a new mechanism by which the receptor tyrosine kinase Met promotes cell survival. The ectodomain and transmembrane domain of Met, independently of kinase activity, are required to maintain integrin α3β1 on the cell surface to prevent activation of intrinsic and extrinsic cell death pathways and maintain autophagic flux.