Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Experimental Setup on Prepaid Churn Modeling: Data, Population and Outcome Definition

Prepaid customers in mobile telecommunications are not bound by a contract and can therefore change operators (‘churn’) at their convenience and without notification. This makes the task of predicting churn both challenging and financially rewarding. This paper presents an explorative, real world study of prepaid churn modeling by varying on three dimensions: data, outcome definition and population sample. Firstly, we add Customer Experience Management (CEM) data to data traditionally used for prepaid churn prediction. Secondly, we vary the outcome definition of prepaid churn. Thirdly, we alter the sample of the customers included, based on their inactivity period at the time of recording. While adding CEM parameters and varying the sample did not influence the predictability of churn, a particular change in the outcome definition had a substantial influence.
Natural language understanding using statistical machine translation

Over the past years, automatic dialogue systems and telephone-based machine inquiry systems have received increasing attention. In addition to an automatic speech recognizer and a dialogue manager, such systems consist of a natural language understanding (NLU) component. Some of the most investigated approaches to NLU are rule-based methods as Stochastic Gram-mars , which are often written manually. However, the sole usage of rule-based methods can turn out to be inﬂexible and the problem of reusability occurs. When extending the application scenario or changing the application’s domain itself, a large part of the set of rules often must be rewritten. Therefore, techniques are desirable which help to reduce the manual effort when building up an NLU component for a new domain. In this paper we investigate an approach to NLU, which is derived from the ﬁeld of statistical machine translation. Starting from a conceptual annotated corpus, we describe the problem of NLU as a translation from a source sentence to a formal-language target sentence. Doing this, we will mainly focus on the quality of different alignment models between source and target sentences. Even though the usage of grammars cannot be totally avoided in NLU-systems, it is our goal to reduce their employment and learn the dependencies between words and their meaning automatically. Experiments were performed on the Philips in-house TABA corpus, which is a text corpus in the domain of a German train timetable information system.
Physics of carbon nanotube electronic devices

Carbon nanotubes (CNTs) are amongst the most explored one-dimensional nanostructures and have attracted tremendous interest from fundamental science and technological perspectives. Albeit topologically simple, they exhibit a rich variety of intriguing electronic properties, such as metallic and semiconducting behaviour. Furthermore, these structures are atomically precise, meaning that each carbon atom is still three-fold coordinated without any dangling bonds. CNTs have been used in many laboratories to build prototype nanodevices. These devices include metallic wires, field-effect transistors, electromechanical sensors and displays. They potentially form the basis of future all-carbon electronics. This review deals with the building blocks of understanding the device physics of CNT-based nanodevices. There are many features that make CNTs different from traditional materials, including chirality-dependent electronic properties, the one-dimensional nature of electrostatic screening and the presence of several direct bandgaps. Understanding these novel properties and their impact on devices is crucial in the development and evolution of CNT applications.
Survival in nephroblastoma treated according to the trial and study SIOP-9/GPOH with respect to relapse and morbidity.

BACKGROUND Recent Wilms' tumor (WT) trials and studies have tried to determine the minimal therapy needed for cure. The goal was survival without morbidity. PATIENTS AND METHODS From January 1989 to March 1994 the German Society of Pediatric Oncology and Hematology registered 440 patients (median age 2.9 years; 231 male, 209 female) with WTs (preoperative chemotherapy 362) for therapy according to the International Society of Pediatric Oncology Trial and Study 9. Therapy for relapse depended on site of relapse and therapy already received. Follow-up included inquiries for morbidity. Prognostic factors for relapse and death were evaluated. RESULTS Five-year survival of WTs was 89.5%; 98.2% (385 of 392) of survivors had a follow-up of 5 years (range 0.8-12.6; median 8). In non-anaplastic WTs, young age (<2 years) was of significance (P = 0.026) for a better survival. Non-anaplastic WTs (407 patients) had a 5-year survival of 92.3%, versus 48.5% in anaplastic WTs (33 patients), and a 5-year relapse-free survival of 87.6% versus 42.4%. Survival after relapse was significantly worse for anaplastic than for non-anaplastic WTs (residual 3-year survival 11.8% versus 54.3%; P <0.0001). In preoperatively treated WTs, anaplasia was a strong prognostic factor for death [relative risk (RR) 4.7], followed by poor response to preoperative therapy (RR 3.6), stage IV (RR 3.2) and abdominal stage III (RR 2.2). Low abdominal stages (<III) dominated (280 versus 82). In the 334 unilateral stage I-IV WTs (median age 3.2 years), diffuse anaplasia (21 patients) had a 5-year relapse-free survival of 38.1%, versus 58.4% in blastemal WTs (25 patients); survival was 42.9% in diffuse anaplasia versus 84% in blastemal WTs. None of 46 patients (median age 1.9 years; 91.3% stages I or II) with differentiated WTs (nine epithelial, 37 stromal) relapsed despite their non-response; two died (one therapy related, one due to bilaterization). In the 25 non-anaplastic bilateral WTs, differentiated cases (one epithelial, eight stromal, 33.3% abdominal stage III) were more frequent (P = 0.048) than in unilateral WTs (one stromal, abdominal stage III relapsed). In all, 52.9% of the 5-year survivors had received adriamycin (250-400 mg/m(2)), 25.7% radiation, 6.4% ifosfamide (24-30 g/m(2)) and 6.7% carboplatin plus etoposide. Abnormal parameters according to the National Cancer Institute score were seen in 18.9% during follow-up, but only 6.4% were treated for morbidity at the end of follow-up. Three WTs developed renal failure due to Drash syndrome, but none due to tumor therapy. After adriamycin 1.9% of WTs (9% of those receiving 400 mg/m(2)) required therapy for cardiac toxicity. CONCLUSIONS Initial therapy should be more individualized, taking the above risk groups (age in non-anaplastic WTs, poor response, anaplasia, etc.) into account, as morbidity even after relapse therapy with ifosfamide, carboplatin and etoposide was not high. Milder therapy in low stages of differentiated and of well responding WTs should be tested.
Combined bronchodilators (tiotropium plus olodaterol) for patients with chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD), a respiratory disease characterized by a progressive decline in lung function, is considered to be a leading cause of morbidity and mortality. Long-acting inhaled bronchodilators, such as long-acting β2 agonists (LABAs) or long-acting muscarinic antagonists (LAMAs), are the cornerstone of maintenance therapy for patients with moderate-to-very-severe COPD. For patients not sufficiently controlled on a single long-acting bronchodilator, a combination of different bronchodilators has shown a significant increase in lung function. Tiotropium, a once-daily dosing LAMA, demonstrated sustained improvements in lung function as well as improved health-related quality of life, reduced exacerbations, and increased survival without altering the rate of decline in the mean forced expiratory volume in 1 second (FEV1) with fairly tolerable side effects. Olodaterol is a once-daily dosing LABA that has proven to be effective in improving lung function, reducing rescue medication use, and improving dyspnea and health-related quality of life, as well as improving exercise endurance with an acceptable safety profile. The combination of olodaterol and tiotropium provided additional improvements in lung function greater than monotherapy with each drug alone. Several well-designed randomized trials confirmed that the synergistic effect of both drugs in combination was able to improve lung function and health-related quality of life without a significant increase in adverse effects. The objective of this paper is to review available evidence on the clinical efficacy and safety of tiotropium, olodaterol, and their combination in patients with COPD.
Illumination and camera invariant stereo matching

Color information can be used as a basic and crucial cue for finding correspondence in a stereo matching algorithm. In a real scene, however, image colors are affected by various geometric and radiometric factors. For this reason, the raw color recorded by a camera is not a reliable cue, and the color consistency assumption is no longer valid between stereo images in real scenes. Hence the performance of most conventional stereo matching algorithms can be severely degraded under the radiometric variations. In this paper, we present a new stereo matching algorithm that is invariant to various radiometric variations between left and right images. Unlike most stereo algorithms, we explicitly employ the color formation model in our framework and propose a new measure called adaptive normalized cross correlation (ANCC) for a robust and accurate correspondence measure. ANCC is invariant to lighting geometry, illuminant color and camera parameter changes between left and right images, and does not suffer from fattening effects unlike conventional normalized cross correlation (NCC). Experimental results show that our algorithm outperforms other stereo algorithms under severely different radiometric conditions between stereo images.
Dendrite Structure

Acknowledgements: Thanks to Marcia Feinberg and Karen Szumowski for assistance with figures. Thanks also to Betsy Velasquez for assistance with the bibliographic material. Contributions to some three-dimensional reconstructions were made by Josef Spacek and Rachel Ventura. Summary Dendrites are extensions of the cell body of the neuron specialized for receiving and processing the vast majority of excitatory synaptic inputs. Dendrites exhibit enormously diverse forms. In many cases the shape of the dendritic arbor can be related to the mode of connectivity between neurons, with dendrites often ramifying in characteristic spatial domains where they receive specific inputs. At the ultrastructural level, dendrites are distinct from axons and astroglia processes, having a characteristic composition of subcellular organelles. Synapses occur directly on the shaft of some dendrites, but other dendrites have specialized enlargements and protrusions to receive synaptic input. These synaptic specializations also occur in many different forms. The use of serial electron microscopy to obtain detailed quantitative data on these structures has shown that different synaptic specializations have different intracellular organelles and synaptic compositions. Understanding the structural diversity of both dendritic arbors and synaptic specializations will be essential for understanding the intricacies of dendritic function and the contribution dendrites make to mental processes.
Autoradiographic localization of voltage-dependent sodium channels on the mouse neuromuscular junction using 125I-alpha scorpion toxin. II. Sodium distribution on postsynaptic membranes

A radioiodinated alpha-scorpion toxin (toxin II from Androctonus australis Hector) (alpha ScTx) was used as a probe for EM autoradiography to study the distribution of voltage-dependent sodium channels (Na+ channel) on the postsynaptic side of the mouse neuromuscular junction. Silver grain distribution was analyzed by the cross-fire method to assess the relative Na+ channel density in each membrane domain measured by stereology. This analysis showed that the maximum Na+ channel density was located on the edge of the synaptic gutter, where it reached about twice the mean density in the postsynaptic fold membrane. Na+ channel densities have been calculated using ACh receptor (AChR) density in fold crests as reference. Sodium channel density on the edge of the synaptic gutter was estimated at about 5000/microns 2. Sodium channel distribution in the postsynaptic folds was compared to AChR distribution using density distribution analysis (Fertuck and Salpeter, 1976). The results confirmed that, as already observed by immunogold labeling (Flucher and Daniels, 1989), there are no Na+ channels on fold crests. Na+ channels are located in the rest of the fold membrane (bottom) and may be distributed according to two possible models. In the first, density would be uniformly high, although lower than on the gutter edge. In the second, density would decrease from the crest border, where the value was that of the gutter edge, to the fold end, where the value would be 50% lower. Based on the latter model, which was the “best-fit model,” we propose that the postsynaptic membrane includes two domains. The first is the fold crest, which contains almost exclusively AChRs. This domain is devoted to reception-transduction of the chemical signal. The second includes both the fold bottom membrane and the perisynaptic membrane. Sodium channel density is highest along the crest border and decreases moving away. Its functions are the integration of postsynaptic potentials and generation-conduction of the muscle action potential.
BodySim: a multi-domain modeling and simulation framework for body sensor networks research and design

Modeling and simulation play important roles in engineering research and design. These techniques are especially helpful in the early phases where limited detail is available about the design and where design changes are less costly. In addition, high-fidelity models can be employed at the later stages to complement testing. Models are also important research tools for understanding complex phenomena.
Topological Social Choice Topological Social Choice

The topological approach to social choice was developed by Graciela Chichilnisky in the beginning of the eighties. The main result in this area (known as the resolution of the topological social choice paradox) shows that a space of preferences admits of a continuous, anonymous, and unanimous aggregation rule for every number of individuals if and only if the space is contractible. Furthermore, connections between the Pareto principle, dictatorship, and manipulation were established. Recently, Baryshni-kov used the topological approach to demonstrate that Arrow's impossibility theorem can be reformulated in terms of the non-contractibility of spheres. This paper discusses these results in a self-contained way, emphasizes the social choice interpretation of some topological concepts, and surveys the area of topological aggre-gation. 1
Effect of frequency oversampling and cascade initialization on permutation control in frequency domain BSS

This paper presents a new algorithm for addressing the permutation ambiguity in convolutive blind source separation. The proposed algorithm seeks to prevent permutations by frequency oversampling, and then exploiting the induced correlation between bins. Any remaining permutation is then corrected by beam pattern estimation. Cascade initialization is shown to improve system performance while decreasing processing time, while frequency oversampling is shown to increase performance with slight increases in computational time. The algorithm is proven robust against isotropic noise, producing a SIR improvement of 12.9 dB when the reverberation time is 260 ms, and the signals at the input are only 5 dB above the noise floor.
SipaaS: Spot instance pricing as a Service framework and its implementation in OpenStack

Designing dynamic pricing mechanisms that efficiently price resources in line with a provider's profit maximization goal is a key challenge in cloud computing environments. Despite the large volume of research published on this topic, there is no publicly available software system implementing dynamic pricing for Infrastructure as a Service cloud spot markets. This paper presents the implementation of a framework called Spot instance pricing as a Service (SipaaS) that supports an auction mechanism to price and allocate virtual machine instances. SipaaS is an open‐source project offering a set of web services to price and sell virtual machine instances in a spot market resembling the Amazon EC2 spot instances. Cloud providers, who aim at utilizing SipaaS, should install add‐ons in their existing platform to make use of the framework. As an instance, we provide an extension to the Horizon – the OpenStack dashboard project – to employ SipaaS web services and to add a spot market environment to OpenStack. To validate and evaluate the system, we conducted an experimental study with a group of 10 users utilizing the provided spot market in a real environment. Results show that the system performs reliably in a practical test environment. Copyright © 2015 John Wiley & Sons, Ltd.
Estimating 3-d Shape from the Optical Flow of Photometric Stereo Images

Photometric stereo (PS) images are obtained from a single camera under diierent illuminations, and have traditionally been employed for the estimation of surface gradient in computer vision. Recently, it has been suggested that such images can also be matched to yield relevant depth cues both in human and in artiicial vision. Here, we analyse the optical ow information carried by pairs of PS images taken under slightly diierent illuminations: By modelling the displacement of the irradiance pattern over the imaged surfaces, due to the illumination change, as a rotation plus a small translational correcting factor, we are able to obtain good 3-D surface reconstructions through a structure-from-motion least-squares approach. Our framework for shape estimation makes no use of the reeectance map functions which are at the core of the traditional approach to photometric stereo, and has yielded good results in experiments with both synthetic and real images of surfaces with lambertian plus quasi-specular reeectance, even in the presence of a non-uniform albedo.
Cross-season place recognition using NBNN scene descriptor

We propose a discriminative compact scene descriptor for single-view cross-season place recognition. Unlike previous bag-of-words approaches which rely on a library of vector quantized visual features, the proposed scene descriptor is based on a library of raw image data (such as available visual experience, images shared by other colleague robots, and publicly available image data on the web) that is directly mined to find nearest neighbor (NN) visual features (i.e., landmarks) for effectively explaining the input image. Our scene matcher adopts naive Bayes nearest neighbor (NBNN) techniques, where (1) raw visual features are used without vector quantization, and (2) image-to-class (rather than image-to-image) distance is used for scene comparison. Finally, we acquire a challenging cross-season place recognition dataset and validate the effectiveness of the proposed scene descriptor.
Software Forensics: Extending Authorship Analysis Techniques to Computer Programs

Software forensics is the analysis of the syntactic, structural and semantic form of software in order to identify, characterise and discriminate between the authors of software products for some legal purpose. Determining software authorship may be important in several contexts: civil litigation involving allegations of software theft or plagiarism or apportioning liability for software failure; criminal litigation in relation to computer fraud or software attacks on computer systems using viruses and other similar means. Our focus is on forensic analysis of software source code, the structured English-like implementation of the algorithm selected to undertake the task at hand. We use a fictionalised version of a recent case to illustrate the potential of software forensics to provide evidence and also review in detail the judicial reception of such material.
Mechanisms Responsible for Sympathetic Activation by Cigarette Smoking in Humans

The pressor and tachycardic effects of cigarette smoking are associated with an increase in plasma catecholamines, suggesting the dependence of these effects on adrenergic stimulation. Whether the stimulation occurs at a central or a peripheral level and whether reflex mechanisms are involved is unknown. Methods and ResultsIn nine normotensive healthy subjects (age, 33.0±3.5 years, mean±SEM), we measured blood pressure (Finapres device), heart rate (ECG), calf blood flow and vascular resistance (venous occlusion plethysmography), plasma norepinephrine and epinephrine (high-performance liquid chromatography assay), and postganglionic muscle sympathetic nerve activity (microneurography from the peroneal nerve) while subjects were smoking a filter cigarette (nicotine content, 1.1 mg) or were in control condition. Cigarette smoking (which raised plasma nicotine measured by highperformance liquid chromatography from 1.0±0.9 to 44.2±7.1 ng/mL) markedly and significantly increased mean arterial pressure (+13.2±2.3%), heart rate (+30.3±4.7%), calf vascular resistance (+ 12.1±4.9%), plasma norepinephrine (+34.8±7.0%), and plasma epinephrine (+90.5±39.0%). In contrast, muscle sympathetic nerve activity showed a marked reduction (integrated activity −31.8±5.1%, P < .01). The reduction was inversely related to the increase in mean arterial pressure (r= −.67, P < .05), but the slope of the relation was markedly less (−54.1±7.5%, P < .05) than that obtained by intravenous infusion of phenylephrine in absence of smoking. The hemodynamic and neurohumoral changes were still visible 30 minutes after smoking and occurred again on smoking a second cigarette. Sham smoking was devoid of any hemodynamic and neurohumoral effect. ConclusionsThese data support the hypothesis that in humans the sympathetic activation induced by smoking depends on an increased release and/or a reduced clearance of catecholamines at the neuroeffector junctions. Central sympathetic activity is inhibited by smoking, presumably via a baroreceptor stimulation triggered by the smoking-related pressor response. The baroreflex is impaired by smoking, however, indicating that partial inability to reflexly counteract the effect of sympathetic activation is also responsible for the pressor response.
Standardization Life Cycle Autonomy , Specificity and Precision in Implementation Object of Standardization Stage of Conformity in Life Cycle of Standard ’ s Object Regulation of Standardization Due Process Constraints on Standardization Activities

Since the industrial revolution ushered in the economic benefits of similarity, standardization has become a hybrid of technical design and political processes with major impact on markets, social welfare, and economic activity. Standards increasingly develop outside government regulatory venues in consortia and other forms of voluntary consensus bodies involving collaboration among private sector competitors, suppliers, customers, end users, trade association representatives, and government representatives. Standardization is regulated to avert self-interested collusion and to inspire democratic influences. Standards developed in voluntary consensus bodies are increasingly viewed as socially beneficial because they balance a broader range of interests that accompany the diffusion of new technology. This chapter discusses the significant, but often ignored, impact of standardization on technology transfer and technology