Miracle-dz/UniFAR-FTUs huggingface dataset:
Edinburgh Research Explorer Translating Network Position into Performance: Importance of Centrality in Different Network Configurations Translating Network Position into Performance: Importance of Centrality in Different Network Configurations

General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact openaccess@ed.ac. uk providing details, and we will remove access to the work immediately and investigate your claim. ABSTRACT As the field of learning analytics continues to mature, there is a corresponding evolution and sophistication of the associated analytical methods and techniques. In this regard social network analysis (SNA) has emerged as one of the cornerstones of learning analytics methodologies. However, despite the noted importance of social networks for facilitating the learning process, it remains unclear how and to what extent such network measures are associated with specific learning outcomes. Motivated by Simmel's theory of social interactions and building on the argument that social centrality does not always imply benefits, this study aimed to further contribute to the understanding of the association between students' social centrality and their academic performance. The study reveals that learning analytics research drawing on SNA should incorporate both – descriptive and statistical methods to provide a more comprehensive and holistic understanding of a students' network position. In so doing researchers can undertake more nuanced and contextually salient inferences about learning in network settings. Specifically, we show how differences in the factors framing students' interactions within two instances of a MOOC affect the association between the three social network centrality measures (i.e., degree, closeness, and betweenness) and the final course outcome.
POSTERIOR CONSISTENCY OF DIRICHLET MIXTURES IN DENSITY ESTIMATION

A Dirichlet mixture of normal densities is a useful choice for a prior distribution on densities in the problem of Bayesian density estimation. In the recent years, efficient Markov chain Monte Carlo method for the computation of the posterior distribution has been developed. The method has been applied to data arising from different fields of interest. The important issue of consistency was however left open. In this paper, we settle this issue in affirmative.
Tumor-Infiltrating Lymphocytes Genetically Engineered with an Inducible Gene Encoding Interleukin-12 for the Immunotherapy of Metastatic Melanoma

Purpose: Infusion of interleukin-12 (IL12) can mediate antitumor immunity in animal models, yet its systemic administration to patients with cancer results in minimal efficacy and severe toxicity. Here, we evaluated the antitumor activity of adoptively transferred human tumor-infiltrating lymphocytes (TILs) genetically engineered to secrete single-chain IL12 selectively at the tumor site. Experimental Design: Thirty-three patients with metastatic melanoma were treated in a cell dose–escalation trial of autologous TILs transduced with a gene encoding a single-chain IL12 driven by a nuclear factor of the activated T cells promoter (NFAT.IL12). No IL2 was administered. Results: The administration of 0.001 to 0.1 × 109 NFAT.IL12–transduced TILs to 17 patients resulted in a single, objective response (5.9%). However, at doses between 0.3 and 3 × 109 cells, 10 of 16 patients (63%) exhibited objective clinical responses. The responses tended to be short, and the administered IL12-producing cells rarely persisted at 1 month. Increasing cell doses were associated with high serum levels of IL12 and IFNγ as well as clinical toxicities, including liver dysfunction, high fevers, and sporadic life-threatening hemodynamic instability. Conclusions: In this first-in-man trial, administration of TILs transduced with an inducible IL12 gene mediated tumor responses in the absence of IL2 administration using cell doses 10- to 100-fold lower than conventional TILs. However, due to toxicities, likely attributable to the secreted IL12, further refinement will be necessary before this approach can be safely used in the treatment of cancer patients. Clin Cancer Res; 21(10); 2278–88. ©2015 AACR.
Efficient estimation of speaker-specific projecting feature transforms

This paper introduces a new, efficient approach for estimating projecting feature transforms for speech recognition. It is based on the MMIcriterion, a likelihood ratio criterion motivated by a simplification of the MMI criterion, and is shown to be closely related to HLDA. In comparison to current methods, the new method is faster, making it more suitable for speaker adaptive training, where the number of speakers, and therefore the num- ber of transforms are substantial. The proposed method was integrated into the RWTH par- liamentary speeches transcription system. Experimental results are presented using speaker specific projecting transforms, both when used in recognition only and when used for speaker adap- tive training, showing consistent improvements. Furthermore, the observed improvements are shown to be additive to the im- provement of MLLR. Comparisons to DLT are presented, and results are presented for a new projecting DLT method. Index Terms: Speech recognition, speaker adaptation, het- eroscedastic linear discriminant analysis
Neural representation of spectral and temporal features of song in the auditory forebrain of zebra finches as revealed by functional MRI

Song perception in songbirds, just as music and speech perception in humans, requires processing the spectral and temporal structure found in the succession of song‐syllables. Using functional magnetic resonance imaging and synthetic songs that preserved exclusively either the temporal or the spectral structure of natural song, we investigated how vocalizations are processed in the avian forebrain. We found bilateral and equal activation of the primary auditory region, field L. The more ventral regions of field L showed depressed responses to the synthetic songs that lacked spectral structure. These ventral regions included subarea L3, medial‐ventral subarea L and potentially the secondary auditory region caudal medial nidopallium. In addition, field L as a whole showed unexpected increased responses to the temporally filtered songs and this increase was the largest in the dorsal regions. These dorsal regions included L1 and the dorsal subareas L and L2b. Therefore, the ventral region of field L appears to be more sensitive to the preservation of both spectral and temporal information in the context of song processing. We did not find any differences in responses to playback of the bird's own song vs other familiar conspecific songs. We also investigated the effect of three commonly used anaesthetics on the blood oxygen level‐dependent response: medetomidine, urethane and isoflurane. The extent of the area activated and the stimulus selectivity depended on the type of anaesthetic. We discuss these results in the context of what is known about the locus of action of the anaesthetics, and reports of neural activity measured in electrophysiological experiments.
Periodontally accelerated osteogenic orthodontics (PAOO) - a review

With an increasing number of adult patients coming to the orthodontic clinic, the orthodontic professional is constantly looking for ways to accelerate tooth movement. Surgical intervention to affect the alveolar housing and tooth movement has been described in various forms for over a hundred years. However, it is the spirit of interdisciplinary collaboration in orthodontics has expanded the realm of traditional orthodontic tooth movement protocols. Periodontal accelerated osteogenic orthodontics (PAOO) is a clinical procedure that combines selective alveolar corticotomy, particulate bone grafting, and the application of orthodontic forces. This procedure is theoretically based on the bone healing pattern known as the regional acceleratory phenomenon (RAP). PAOO results in an increase in alveolar bone width, shorter treatment time, increased post treatment stability, and decreased amount of apical root resorption. Tooth movement can be enhanced and cases completed with increased alveolar volume providing for a more intact periodontium, decreased need for extractions, degree of facial remodeling and increased bone support for teeth and overlying soft tissues, thereby augmenting gingival and facial esthetics.The purpose of this article is to describe the history, biology, clinical surgical procedures, indications, contraindications and possible complications of the PAOO procedure. Key words:Periodontics, corticotomy, osteogenic, orthodontics.
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising

Learning and predicting user responses, such as clicks and conversions, are crucial for many Internet-based businesses including web search, e-commerce, and online advertising. Typically, a user response model is established by optimizing the prediction accuracy, e.g., minimizing the error between the prediction and the ground truth user response. However, in many practical cases, predicting user responses is only part of a rather larger predictive or optimization task, where on one hand, the accuracy of a user response prediction determines the final (expected) utility to be optimized, but on the other hand, its learning may also be influenced from the follow-up stochastic process. It is, thus, of great interest to optimize the entire process as a whole rather than treat them independently or sequentially. In this paper, we take real-time display advertising as an example, where the predicted user's ad click-through rate (CTR) is employed to calculate a bid for an ad impression in the second price auction. We reformulate a common logistic regression CTR model by putting it back into its subsequent bidding context: rather than minimizing the prediction error, the model parameters are learned directly by optimizing campaign profit. The gradient update resulted from our formulations naturally fine-tunes the cases where the market competition is high, leading to a more cost-effective bidding. Our experiments demonstrate that, while maintaining comparable CTR prediction accuracy, our proposed user response learning leads to campaign profit gains as much as 78.2% for offline test and 25.5% for online A/B test over strong baselines.
PhosphoTyrosyl Phosphatase Activator of Plasmodium falciparum: Identification of Its Residues Involved in Binding to and Activation of PP2A

In Plasmodium falciparum (Pf), the causative agent of the deadliest form of malaria, a tight regulation of phosphatase activity is crucial for the development of the parasite. In this study, we have identified and characterized PfPTPA homologous to PhosphoTyrosyl Phosphatase Activator, an activator of protein phosphatase 2A which is a major phosphatase involved in many biological processes in eukaryotic cells. The PfPTPA sequence analysis revealed that five out of six amino acids involved in interaction with PP2A in human are conserved in P. falciparum. Localization studies showed that PfPTPA and PfPP2A are present in the same compartment of blood stage parasites, suggesting a possible interaction of both proteins. In vitro binding and functional studies revealed that PfPTPA binds to and activates PP2A. Mutation studies showed that three residues (V283, G292 and M296) of PfPTPA are indispensable for the interaction and that the G292 residue is essential for its activity. In P. falciparum, genetic studies suggested the essentiality of PfPTPA for the completion of intraerythrocytic parasite lifecycle. Using Xenopus oocytes, we showed that PfPTPA blocked the G2/M transition. Taken together, our data suggest that PfPTPA could play a role in the regulation of the P. falciparum cell cycle through its PfPP2A regulatory activity.
Regulation of interleukin‐8 gene expression after phagocytosis of zymosan by human monocytic cells

Monocyte phagocytosis of pathogens or inflammatory debris leads to chemokine secretion and heralds the influx of leukocytes to the site of injury. Persistent chemokine secretion can lead to tissue damage. However, the mechanisms by which phagocytosis regulates chemokine synthesis remain poorly understood. As a first step, we have studied regulation of interleukin (IL) 8 gene expression after interaction with zymosan or latex. IL‐8 secretion was consistently one‐ or twofold higher after incubation with zymosan than with latex. Nuclear factor (NF) κB translocation to the nucleus was induced by zymosan but not latex, indicating that its translocation is dependent on the nature of the phagocytic stimulus. NFκB activation coincided with IκBα degradation but had no effect on processing of NFκB1/p105, the precursor of the NFκB protein p50. The NFκB inhibitor gliotoxin abrogated zymosan‐induced IL‐8 synthesis in peripheral blood monocytes, further demonstrating that the induction of IL‐8 mRNA by zymosan is NFκB dependent. SB203580 inhibition of the p38 mitogen‐activated protein kinase (MAPK) pathway significantly decreased zymosan‐induced IL‐8 mRNA accumulation. Inhibitors of protein kinases A and C or tyrosine kinases had no significant effect on zymosan‐induced IL‐8 synthesis. These data indicate that p38 MAPK and NFκB are critical in controlling zymosan‐induced IL‐8 secretion.
C-MAF Oncogene Dysregulation in Multiple Myeloma: Frequency and Biological Relevance

To investigate the frequency and possible biological consequences of c-maf dysregulation, we designed c-maf and IL-4 real-time RT-PCR assays for determination of c-maf and IL-4 mRNA levels. Using the c-maf real-time RT-PCR assay, we tested a panel of 14 B-cell lines, 135 diagnostic bone marrow (BM) samples from patients with multiple myeloma and 10 BM samples from normal donors. In B cell lines and flowsorted CD38++/CD19-/CD56++ myeloma plasma cells (N = 14) the c-maf/GAPDH and IL-4/GAPDH ratios were determined simultaneously using real time RT-PCR. All B cell lines used in the study were characterized by flow cytometry and tested for the presence of Ebstein–Barr virus (EBV). B-cell lines, that were PCR negative for EBV and had a phenotype typical for primary myeloma cells, expressed medium to high levels of c-maf mRNA. However, all EBV PCR positive cell lines, showed a more immature phenotype, lacked expression of aberrant surface markers and contained very low levels of c-maf mRNA. In 4.4% (6/135) of MM patients tested, a c-maf mRNA level comparable to the cell line RPMI 8226 containing at (16:22), translocation was found. In addition, all c-maf positive myeloma cell lines and CD38++/CD19-/CD56++ myeloma plasma cells tested were IL-4 negative. In conclusion, high levels of c-maf mRNA were observed in "true MM cell lines" and 4.4% of MM patients. Further, c-maf dysregulation in myeloma plasma cells did not cause induction of IL-4 transcription.
PINK1 deficiency in β-cells increases basal insulin secretion and improves glucose tolerance in mice

The Parkinson's disease (PD) gene, PARK6, encodes the PTEN-induced putative kinase 1 (PINK1) mitochondrial kinase, which provides protection against oxidative stress-induced apoptosis. Given the link between glucose metabolism, mitochondrial function and insulin secretion in β-cells, and the reported association of PD with type 2 diabetes, we investigated the response of PINK1-deficient β-cells to glucose stimuli to determine whether loss of PINK1 affected their function. We find that loss of PINK1 significantly impairs the ability of mouse pancreatic β-cells (MIN6 cells) and primary intact islets to take up glucose. This was accompanied by higher basal levels of intracellular calcium leading to increased basal levels of insulin secretion under low glucose conditions. Finally, we investigated the effect of PINK1 deficiency in vivo and find that PINK1 knockout mice have improved glucose tolerance. For the first time, these combined results demonstrate that loss of PINK1 function appears to disrupt glucose-sensing leading to enhanced insulin release, which is uncoupled from glucose uptake, and suggest a key role for PINK1 in β-cell function.
Cones, Seeds, and Foliage of Tetraclinis Salicornioides (Cupressaceae) from the Oligocene and Miocene of Western North America: A Geographic Extension of the European Tertiary Species

The cupressaceous genus Tetraclinis is recognized from the Oligocene and Miocene of western North America on the basis of co‐occurring seed cones, seeds, and foliage branches. Morphological and anatomical comparisons with the two previously recognized European Tertiary species indicate that the North American specimens are morphologically inseparable from Tetraclinis salicornioides (Unger) Kvaček. The North American taxon is treated as a new variety, T. salicornioides (Unger) Kvaček var. praedecurrens (Knowlton) comb. et stat. nov., and is distinguished from the European representatives, T. salicornioides (Unger) Kvaček var. salicornioides, by slight anatomical differences in the leaf epidermis. Although cones and seeds of the fossil species are closely similar to those of extant Tetraclinis articulata, the foliage is more “spreading,” composed of flattened segments with fused facial and lateral leaves that are apparently adaptive for a more mesic climate. The recognition of T. salicornioides in western North America along with the absence of Tetraclinis in the fossil and recent flora of eastern Asia provide evidence for communication of the species across the North Atlantic during the early or middle Tertiary.
Dissociation between Active and Observational Learning from Positive and Negative Feedback in Parkinsonism

Feedback to both actively performed and observed behaviour allows adaptation of future actions. Positive feedback leads to increased activity of dopamine neurons in the substantia nigra, whereas dopamine neuron activity is decreased following negative feedback. Dopamine level reduction in unmedicated Parkinson’s Disease patients has been shown to lead to a negative learning bias, i.e. enhanced learning from negative feedback. Recent findings suggest that the neural mechanisms of active and observational learning from feedback might differ, with the striatum playing a less prominent role in observational learning. Therefore, it was hypothesized that unmedicated Parkinson’s Disease patients would show a negative learning bias only in active but not in observational learning. In a between-group design, 19 Parkinson’s Disease patients and 40 healthy controls engaged in either an active or an observational probabilistic feedback-learning task. For both tasks, transfer phases aimed to assess the bias to learn better from positive or negative feedback. As expected, actively learning patients showed a negative learning bias, whereas controls learned better from positive feedback. In contrast, no difference between patients and controls emerged for observational learning, with both groups showing better learning from positive feedback. These findings add to neural models of reinforcement-learning by suggesting that dopamine-modulated input to the striatum plays a minor role in observational learning from feedback. Future research will have to elucidate the specific neural underpinnings of observational learning.
Guideline Concordant Therapy Prolongs Survival in HER2-Positive Breast Cancer Patients: Results from a Large Population-Based Cohort of a Cancer Registry

Even though randomized controlled clinical trials demonstrated improved survival by adjuvant trastuzumab treatment of HER2-positive breast cancer patients, data on its effect in clinical routine are scarce. This study evaluated the use and efficacy of trastuzumab in routine treatment of HER2-positive breast cancer patients. Data from the clinical cancer registry Regensburg (Germany) were analyzed. The present study investigated 6,991 female patients with primary invasive breast cancer. In premenopausal HER2-positive patients a considerable increase of trastuzumab therapy was observed from 58.1% in 2006 to 90.9% in 2011, whereas in postmenopausal patients trastuzumab was rather used on a constant rate of 49.1%. Best overall survival (OS) was found in HER2/steroid hormone receptor-positive patients receiving guideline concordant treatment with trastuzumab plus chemotherapy (CHT) plus antihormone therapy (AHT) with a 7-year OS rate of 96% compared to the non-trastuzumab group with a 7-year OS rate of 92%. In multivariable analysis, HER2-positive patients treated with CHT or AHT who did not get trastuzumab, had a worse 7-year OS (65%, P = 0.006 versus 79%, P = 0.017) than the control groups. This population-based study demonstrated that guideline concordant use of adjuvant trastuzumab improves OS for HER2-positive breast cancer patients treated in routine clinical care.
INTERTWINING OPERATOR SUPERALGEBRAS AND VERTEX TENSOR CATEGORIES FOR SUPERCONFORMAL ALGEBRAS, I

We apply the general theory of tensor products of modules for a vertex operator algebra (developed by Lepowsky and the first author) and the general theory of intertwining operator algebras (developed by the first author) to the case of the N=1 superconformal minimal models and related models in superconformal field theory. We show that for the category of modules for a vertex operator algebra containing a subalgebra isomorphic to a tensor product of rational vertex operator superalgebras associated to the N =1 Neveu–Schwarz Lie superalgebra, the intertwining operators among the modules have the associativity property, the category has a natural structure of vertex tensor category, and a number of related results hold. We obtain, as a corollary and special case, a construction of a braided tensor category structure on the category of finite direct sums of minimal modules of central charge for the N = 1 Neveu–Schwarz Lie superalgebra for any fixed integers p, q larger than 1 such that p - q ∈ 2ℤ and (p - q)/2 and q relatively prime to each other.
Spatial birth and death processes as solutions of stochastic equations

Spatial birth and death processes are obtained as solutions of a sys- tem of stochastic equations. The processes are required to be locally nite, but may involve an innite population over the full (noncompact) type space. Con- ditions are given for existence and uniqueness of such solutions, and for temporal and spatial ergodicity. For birth and death processes with constant death rate, a sub-criticality condition on the birth rate implies that the process is ergodic and converges exponentially fast to the stationary distribution.