Miracle-dz/UniFAR-FTUs huggingface dataset:
Trait Anxiety Has Effect on Decision Making under Ambiguity but Not Decision Making under Risk

Previous studies have reported that trait anxiety (TA) affects decision making. However, results remain largely inconsistent across studies. The aim of the current study was to further address the interaction between TA and decision making. 304 subjects without depression from a sample consisting of 642 participants were grouped into high TA (HTA), medium TA (MTA) and low TA (LTA) groups based on their TA scores from State Trait Anxiety Inventory. All subjects were assessed with the Iowa Gambling Task (IGT) that measures decision making under ambiguity and the Game of Dice Task (GDT) that measures decision making under risk. While the HTA and LTA groups performed worse on the IGT compared to the MTA group, performances on the GDT between the three groups did not differ. Furthermore, the LTA and HTA groups showed different individual deck level preferences in the IGT: the former showed a preference for deck B indicating that these subjects focused more on the magnitude of rewards, and the latter showed a preference for deck A indicating significant decision making impairment. Our findings suggest that trait anxiety has effect on decision making under ambiguity but not decision making under risk and different levels of trait anxiety related differently to individual deck level preferences in the IGT.
Diagnostic application of the A(1c) assay in renal disease.

A recent International Expert Committee, jointly appointed by the American Diabetes Association, the European Association for the Study of Diabetes, and the International Diabetes Federation, now advocates the use of glycated hemoglobin, measured by A1c assay, for diagnosing diabetes in nonpregnant individuals.1 Their recommendations suggest the diagnosis of diabetes when the A1c level is >6.5%, confirmed on repeat testing when patients are asymptomatic. In addition, patients with an A1c between 6.0 and 6.5% should be considered high risk, analogous to the state of prediabetes defined by either impaired fasting glucose or glucose tolerance. The rationale for this new approach emphasizes the advantages of the A1c assay over current diagnostic measures for accuracy, precise measurement of chronic glycemia, correlation with diabetic complications, and logistical ease of use. This proposal is under consideration by diabetic associations for possible implementation but lacks analysis of the validity of the A1c assay for diagnosing diabetes in the setting of renal impairment and renal replacement therapy (RRT). Hemoglobin A1c is the product of a nonenzymatic reaction between circulating hemoglobin and glucose. In the normal 120-day life cycle of the average red blood cell, the magnitude of glycated hemoglobin is reflective of longitudinal exposure to glucose. Glycation rate can be influenced by temperature, pH, red cell turnover, hemoglobin concentration, glucose concentration, and length of exposure to glucose.2 The Diabetes Control and Complications Trial (DCCT) and United Kingdom Prospective Diabetes Study (UKPDS), conducted of patients with type 1 and type 2 diabetes respectively, were the pivotal studies demonstrating a link between A1c and diabetes-related complications.3,4 …
Downlink Cooperative Transmission by Superposition Modulation: Performance Analysis and Power Allocation Strategy

In this paper, we proposed 2 new downlink cooperative transmission strategies based on superposition modulations: Scheme (a), QPSK superimposed modulation and scheme (b), orthogonal 4-PAM superimposed modulation. In both schemes, Rayleigh fading and path loss effect are introduced into channel model. We analyzed the symbol error rate (SER) performances and derived their theoretical expressions. The analytical SER expression of scheme (b) is achieved. Furthermore, we investigated the optimal power allocation problem through both analytical and numerical approach. Finally, the derived analytical expressions were verified by simulation results. Our proposed superposition scheme (b) can outperform the classical downlink cooperative scheme by 2 dB, and the performance advantage of Scheme (a) achieves by 5 dB.
2 Business Models and Tooling

During the Bled conferences, Business Models have attracted a lot of attention. The discussion has moved from understanding the core concepts towards designing and implementing business models. Business models have become a common topic, with concepts and approaches becoming main stream, and connected to more generic research approaches and design perspectives, and business model tooling is becoming more important. In this paper, we provide examples of tooling with regard to Business Model road-mapping, Business Model stress-testing, Business models and Agile software development, and Business
The Identification of Communities in the Cyberspace of Social Networks Based on Average Measure of Similarity

Cyberspace is an important area of social activity of people, which is connected with the turnover of information in communication networks: social networks, regional, departmental, corporate. Cyberspace unites citizens of many countries and cultures that collect and use a variety of information. One of the most important problems of the cyberspace of social networks is the definition of communities in cyberspace. Communities in the cyberspace of networks are characterized by a large number of compounds between participants. Detection and analysis of the community allows us to study the stability and the cyberspace of social networks. The following clustering methods are used in graph models: modularity-based, centrality-based, clique percolation-based, hierarchical-based, spectral-based clustering. The standard algorithms for finding communities in the cyberspace of social networks are: single linkage clustering algorithm; spatial clustering based on density applications with noise; Jarvis-Patrick clustering algorithm; k-means clustering algorithm; mean-shift clustering algorithm; partitioning around medoids (PAM); minimum spanning tree-based clustering algorithm; spectral clustering algorithm. In community discovery methods, results depend on the similarity measure of participants. As a metric for the search for communities of graph models, measures of centrality by: degree, closeness, betweenness, radiality, eccentricity, PageRank, Katz, status, eigenvector. Similarity measures are applied based on correlation coefficient, on cosine coefficient, the Dice and Jaccard coefficients. We proposed, as measure for similarity apply the averaged coefficient on basis of correlation coefficient, cosine coefficient, the Dice and Jaccard coefficients. For graph models the algorithm based on averaged coefficient is proposed. A comparative analysis of the results of clustering is performed. The analysis showed that the choice of averaged coefficient as the metric gives the best result for clustering in comparison with standard clustering methods based on centrality and modularity.
On Making Good Games - Using Player Virtue Ethics and Gameplay Design Patterns to Identify Generally Desirable Gameplay Features

This paper uses a framework of player virtues to perform a theoretical exploration of what is required to make a game good. The choice of player virtues is based upon the view that games can be seen as implements, and that these are good if they support an intended use, and the intended use of games is to support people to be good players. A collection of gameplay design patterns, identified through their relation to the virtues, is presented to provide specific starting points for considering design options for this type of good games. 24 patterns are identified supporting the virtues, including RISK/REWARD, DYNAMIC ALLIANCES, GAME MASTERS, and PLAYER DECIDED RESULTS, as are 7 countering three or more virtues, including ANALYSIS PARALYSIS, EARLY ELIMINATION, and GRINDING. The paper concludes by identifying limitations of the approach as well as by showing how it can be applied using other views of what are preferable features in games.
A Dedicated Promoter Drives Constitutive Expression of the Cell-Autonomous Immune Resistance GTPase, Irga6 (IIGP1) in Mouse Liver

Background In general, immune effector molecules are induced by infection. Methodology and Principal Findings However, strong constitutive expression of the cell-autonomous resistance GTPase, Irga6 (IIGP1), was found in mouse liver, contrasting with previous evidence that expression of this protein is exclusively dependent on induction by IFNγ. Constitutive and IFNγ-inducible expression of Irga6 in the liver were shown to be dependent on transcription initiated from two independent untranslated 5′ exons, which splice alternatively into the long exon encoding the full-length protein sequence. Irga6 is expressed constitutively in freshly isolated hepatocytes and is competent in these cells to accumulate on the parasitophorous vacuole membrane of infecting Toxoplasma gondii tachyzoites. Conclusions and Significance The role of constitutive hepatocyte expression of Irga6 in resistance to parasites invading from the gut via the hepatic portal system is discussed.
Institutional Repository Automating rolling stock diagramming and platform allocation

Rolling stock allocation is the process of assigning timetable schedules to physical train units. This is primarily done by connecting together schedules at their terminal locations (known as schedule associations). Platforming allocation is the process of assigning those associations to particular platforms. A simple last-in, first-legal-out algorithm is used for rolling stock allocation that performs comparably to the traditional manual approach but only takes a few seconds as opposed to days or weeks in many manual cases. A simple stochastic hill-climbing approach is used for assigning associations to platforms to provide a conflict-free platform allocation within a few seconds. These two approaches are tested on real train planning problems with excellent results that would allow an expert to rapidly produce optimal or near optimal solutions. The time saving using these approaches can be used by the train planner to try out various options or have greater checking of robustness of the solutions created.
Differential Lipid Dependence of the Function of Bacterial Sodium Channels

The lipid bilayer is important for maintaining the integrity of cellular compartments and plays a vital role in providing the hydrophobic and charged interactions necessary for membrane protein structure, conformational flexibility and function. To directly assess the lipid dependence of activity for voltage-gated sodium channels, we compared the activity of three bacterial sodium channel homologues (NaChBac, NavMs, and NavSp) by cumulative 22Na+ uptake into proteoliposomes containing a 3∶1 ratio of 1-palmitoyl 2-oleoyl phosphatidylethanolamine and different “guest” glycerophospholipids. We observed a unique lipid profile for each channel tested. NavMs and NavSp showed strong preference for different negatively-charged lipids (phosphatidylinositol and phosphatidylglycerol, respectively), whilst NaChBac exhibited a more modest variation with lipid type. To investigate the molecular bases of these differences we used synchrotron radiation circular dichroism spectroscopy to compare structures in liposomes of different composition, and molecular modeling and electrostatics calculations to rationalize the functional differences seen. We then examined pore-only constructs (with voltage sensor subdomains removed) and found that in these channels the lipid specificity was drastically reduced, suggesting that the specific lipid influences on voltage-gated sodium channels arise primarily from their abilities to interact with the voltage-sensing subdomains.
Skewed Bidding in Pay Per Action Auctions for Online Advertising

Online search as well as keyword-based contextual advertising on third-party publishers is primarily priced using pay-per-click (PPC): advertisers pay only when a consumer clicks on the advertisement. Slots for advertisements are auctioned, and per-click bids are weighted by the probability of a click given that the advertisement is displayed (the click-through rate) in addition to other factors. The PPC method allows the advertising platform (e.g. Google) to bundle together otherwise heterogeneous items (impressions on different positions on a search page, on different search phrases sharing common keywords, and on different publishers) into more homogeneous units, simplifying the advertiser's bidding problem. However, PPC pricing has some drawbacks. First, all clicks are not created equal: clicks on a Paris, France hotel website that is displayed on a search for Paris Hilton may result in lower pro t conditional on the click. Second, for infrequently searched phrases on search engines or small content providers, it is difcult for the advertiser to accurately estimate conversion rates, increasing the risk and monitoring costs for the advertiser and diminishing their incentives to advertise broadly (indeed, on contextual networks, the advertising platform may not even provide the advertiser with suf cient accounting data about where the advertisements were displayed to allow the advertiser to distinguish sources of clicks, and the publisher mix may change on an ongoing basis.) Third, the problem of click fraud is fairly pervasive: when publishers receive a share of advertising revenue, advertisers place a single bid applying to many publishers, and revenue
Structured matrix norms for robust stability and performance with block-structured uncertainty

In this paper we introduce new lower and upper robust stability bounds for structured uncertainty involving arbitrary spatial norms. Speci® cally, we consider a norm-bounded block-structured uncertainty characterization wherein the de® ning spatial norm is not necessarily the maximum singular value. This new uncertainty characterization leads to the notion of structured matrix norms for characterizing the allowable size of the nominal transfer function for robust stability. The lower and upper bounds are specialized to speci® c matrix norms including HoÈ lder, unitarily invariant, and induced norms to provide conditions for robust stability with several di erent characterizations of plant uncertainty. One of the key advantages of the proposed approach over the structured singular value is the reduction is computational complexity gained by directly addressing a given uncertainty characterization without having to transform it to a spectral-norm type characterization. Finally, we introduce a performance block within the structured matrix norm framework to address robust performance in the face of structured uncertainty.
Patient and plan characteristics affecting abandonment of oral oncolytic prescriptions.

PURPOSE To calculate the abandonment rate of oral oncolytic medications and identify factors that may affect likelihood of abandonment. STUDY DESIGN Cross-sectional cohort study using administrative claims data. METHODS We analyzed a nationally representative pharmacy claims database and identified 10,508 patients with Medicare and commercial insurance for whom oral oncolytic therapy was initiated between 2007 and 2009. We calculated the abandonment rate for the initial claim, in which abandonment was defined as reversal of an adjudicated pharmacy claim without a subsequent paid claim for any oncolytic (oral or intravenous) within the ensuing 90 days. We assessed likelihood of abandonment using bivariate and multivariate logistic regression analyses including patient demographics, plan type, drug type, cost sharing, and concurrent prescription activity. RESULTS The abandonment rate of newly initiated oral oncolytics was 10.0%. Unadjusted bivariate analyses found that high cost sharing, increased prescription activity, lower income, and Medicare coverage were associated with a higher abandonment rate (P < .05). In the logistic regression model, claims with cost sharing greater than $500 were four times more likely to be abandoned than claims with cost sharing of $100 or less (odds ratio [OR], 4.46; P < .001). Patients with five or more prescription claims processed within in the previous month had 50% higher likelihood of abandonment than patients with no other prescription activity (OR, 1.50; P < .001). CONCLUSION Abandonment of newly prescribed oral oncolytic therapy is not uncommon, and the likelihood increases for patients enrolled in plans with pharmacy benefit designs that require high cost sharing. Increased concurrent prescription activity was also associated with a higher abandonment rate. These factors should be taken into account when considering likely adherence to cancer therapy.
Suppression of self-excited oscillations in series-compensated transmission lines by excitation control of synchronous machines

The self-excited oscillations are likely to occur in highly series compensated transmission lines having low resistance, particularly in long-distance bulk-power EHV transmission lines. This paper proposes a measure to suppress the self-excited oscillations in which the excitation of a synchronous machine is controlled by a reactive power (Q) signal. This paper also discusses the theoretical analyses of this suppression and the results of testing using a small generator.
Congenital absence of the pulmonary valve

The clinical, radiological, electrocardiographic, and haemodynamic findings in 7 patients with the syndrome of congenital absence of the pulmonary valve with ventricular septal defect are reported. Findings included a pansystolic murmur and a low-pitched delayed diastolic murmur at the left sternal border with no pulmonary valve closure sound, an rsR′ pattern in V1 on the electrocardiogram, and a chest x-ray showing a large heart and gross dilatation of the main, left or right pulmonary arteries but normal or reduced vascularity of the peripheral lung fields. Cardiac catheterization showed a left-to-right shunt at ventricular level in every case, though in one the shunt was bidirectional. Despite right ventricular systolic pressures at least 75 per cent of systemic level in every patient, the pulmonary artery pressure was invariably normal. Pulmonary stenosis was shown to exist at infundibular level, at valve ring level, or at both. Selective right ventricular angiography was diagnostic: the main and right or left pulmonary arteries were aneurysmally dilated and there was an abrupt transition in calibre between these vessels and their immediate branches; enlargement of the right pulmonary artery caused distortion and downward displacement of the left atrium in 4 patients; in 2 there was a flat `diaphragm' in the pulmonary valve position. The diagnosis was confirmed in 3 patients by necropsy. The pulmonary valve was represented by at most a rudimentary fringe of tissue. Histological examination of the pulmonary arteries in one patient showed a correlation between the dilatation of the artery and the structure of its wall.
Different Orientation Tuning of Near- and Far-Surround Suppression in Macaque Primary Visual Cortex Mirrors Their Tuning in Human Perception

In primary visual cortex (V1), neuronal responses to stimuli inside the receptive field (RF) are usually suppressed by stimuli in the RF surround. This suppression is orientation specific. Similarly, in human vision surround stimuli can suppress perceived contrast of a central stimulus in an orientation-dependent manner. The surround consists of two regions likely generated by different circuits: a near-surround generated predominantly by geniculocortical and intra-V1 horizontal connections, and a far-surround generated exclusively by interareal feedback. Using stimuli confined to the near- or far-surround of V1 neurons, and similar stimuli in human psychophysics, we find that near-surround suppression is more sharply orientation tuned than far-surround suppression in both macaque V1 and human perception. These results point to a similarity between surround suppression in macaque V1 and human vision, and suggest that feedback circuits are less orientation biased than horizontal circuits. We find the sharpest tuning of near-surround suppression in V1 layers (3, 4B, 4Cα) with patterned and orientation-specific horizontal connections. Sharpest tuning of far-surround suppression occurs in layer 4B, suggesting greater orientation specificity of feedback to this layer. Different orientation tuning of near- and far-surround suppression may reflect a statistical bias in natural images, whereby nearby edges have higher probability than distant edges of being co-oriented and belonging to the same contour. Surround suppression would, thus, increase the coding efficiency of frequently co-occurring contours and the saliency of less frequent ones. Such saliency increase can help detect small orientation differences in nearby edges (for contour completion), but large orientation differences in distant edges (for directing saccades/attention).
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld

This paper focuses on the automated extraction of argument components from user content in the German online participation project Tempelhofer Feld. We adapt existing argumentation models into a new model for decision-oriented online participation. Our model consists of three categories: major positions, claims, and premises. We create a new German corpus for argument mining by annotating our dataset with our model. Afterwards, we focus on the two classification tasks of identifying argumentative sentences and predicting argument components in sentences. We achieve macro-averaged F1 measures of 69.77% and 68.5%, respectively.
The Effect of Person-Organization Fit on Employee's Innovative Behavior:the Mediating Role of Psychological Empowerment

Person-organization fit has a significant positive impact on employee's innovative behavior.Value congruence and demands-abilities fit also has a significant positive impact on employee's innovative behavior.Needs-supplies fit has no impact on employee's innovative behavior.Person-organization fit and the three dimensions has significant positive impact on psychological empowerment.Psychological empowerment has a significant positive impact on employee's innovative behavior.Psychological empowerment plays an intermediate role between person-organization fit and employee's innovative behavior.
Decoupled U/C plane architecture for HetNets and high speed mobility: research directions & challenges

The goal of this paper is to explore the evolution of Heterogeneous Networks (HetN ets) and their move towards SG in robust high speed mobile wireless networks. The recent advent of SG provides concepts for low-latency and high capacity network solutions that can be integrated into fast moving architectures. However, the challenges in deploying and utilizing the conventional HetNets have led to new architectures that address the disparate needs of user and control traffic, particularly the concept of decoupling user and control plane operations. The aim of this design goal is to enhance the reliability in narrowband low frequency channels used for high-priority control traffic, while allocating the high-volume user traffic burden into wideband high frequency channels. Inherent in this paradigm shift, however, there exists a wide range of unique design challenges. Thus, in this paper we explore the advantages of User/Control Decoupled Architectures (UCDA) compared to Software Defined Networks (SDN), Cognitive Radio (CR), and the Long Term Evolution (LTE) architecture, as well as their respective disadvantages in high speed mobility scenario.