Demonstration of reduced neoclassical energy transport in Wendelstein 7-X.

Research on magnetic confinement of high-temperature plasmas has the ultimate goal of harnessing nuclear fusion for the production of electricity. Although the tokamak1 is the leading toroidal magnetic-confinement concept, it is not without shortcomings and the fusion community has therefore also pursued alternative concepts such as the stellarator. Unlike axisymmetric tokamaks, stellarators possess a three-dimensional (3D) magnetic field geometry. The availability of this additional dimension opens up an extensive configuration space for computational optimization of both the field geometry itself and the current-carrying coils that produce it. Such an optimization was undertaken in designing Wendelstein 7-X (W7-X)2, a large helical-axis advanced stellarator (HELIAS), which began operation in 2015 at Greifswald, Germany. A major drawback of 3D magnetic field geometry, however, is that it introduces a strong temperature dependence into the stellarator's non-turbulent 'neoclassical' energy transport. Indeed, such energy losses will become prohibitive in high-temperature reactor plasmas unless a strong reduction of the geometrical factor associated with this transport can be achieved; such a reduction was therefore a principal goal of the design of W7-X. In spite of the modest heating power currently available, W7-X has already been able to achieve high-temperature plasma conditions during its 2017 and 2018 experimental campaigns, producing record values of the fusion triple product for such stellarator plasmas3,4. The triple product of plasma density, ion temperature and energy confinement time is used in fusion research as a figure of merit, as it must attain a certain threshold value before net-energy-producing operation of a reactor becomes possible1,5. Here we demonstrate that such record values provide evidence for reduced neoclassical energy transport in W7-X, as the plasma profiles that produced these results could not have been obtained in stellarators lacking a comparably high level of neoclassical optimization.

Bayesian inference of spatially resolved Zeff profiles from line integrated bremsstrahlung spectra.

In nuclear fusion research, the effective ion charge Zeff, which characterizes the overall content of impurities, can be experimentally derived from the plasma electron-ion bremsstrahlung, given the electron density ne and temperature Te. At Wendelstein 7-X, a multichannel near-infrared spectrometer is installed to collect the plasma bremsstrahlung along 27 lines of sight covering more than half the plasma cross section, which provides information on Zeff over the entire plasma radius. To infer spatially resolved Zeff profiles, a Bayesian model is developed in the Minerva framework. Zeff, ne, and Te profiles are modeled as Gaussian processes, whose smoothness is determined by hyperparameters. These profiles are transformed to fields in Cartesian coordinates, given the poloidal magnetic flux surfaces calculated by the variational moments equilibrium code. Given all these physical quantities, the model predicts line-of-sight integrals of near-infrared bremsstrahlung spectra. The model includes the predictive (forward) models of the interferometer, Thomson scattering system, and visible and near-infrared spectrometers. Given the observations of all these diagnostics, the posterior probability distribution of Zeff profiles is calculated and shown as an inference solution. The smoothness (gradient) of the profiles is optimally chosen by Bayesian Occam's razor. Furthermore, wall reflections can significantly pollute the measurements of the plasma bremsstrahlung, which leads to over-estimation of Zeff values in the edge region. In the first results presented in this work, this problem does not appear, and the posterior samples of Zeff profiles are overall plausible and consistent with Zeff values inferred, given the data from the single-channel visible spectrometer.

Neural network surrogates of Bayesian diagnostic models for fast inference of plasma parameters.

We present a framework for training artificial neural networks (ANNs) as surrogate Bayesian models for the inference of plasma parameters from diagnostic data collected at nuclear fusion experiments, with the purpose of providing a fast approximation of conventional Bayesian inference. Because of the complexity of the models involved, conventional Bayesian inference can require tens of minutes for analyzing one single measurement, while hundreds of thousands can be collected during a single plasma discharge. The ANN surrogates can reduce the analysis time down to tens/hundreds of microseconds per single measurement. The core idea is to generate the training data by sampling them from the joint probability distribution of the parameters and observations of the original Bayesian model. The network can be trained to learn the reconstruction of plasma parameters from observations and the model joint probability distribution from plasma parameters and observations. Previous work has validated the application of such a framework to the former case at the Wendelstein 7-X and Joint European Torus experiments. Here, we first give a description of the general methodological principles allowing us to generate the training data, and then we show an example application of the reconstruction of the joint probability distribution of an effective ion charge Zeff-bremsstrahlung model from data collected at the latest W7-X experimental campaign. One key feature of such an approach is that the network is trained exclusively on data generated with the Bayesian model, requiring no experimental data. This allows us to replicate the training scheme and generate fast, surrogate ANNs for any validated Bayesian diagnostic model.

Deep learning for Gaussian process soft x-ray tomography model selection in the ASDEX Upgrade tokamak.

Gaussian process tomography (GPT) is a method used for obtaining real-time tomographic reconstructions of the plasma emissivity profile in tokamaks, given some model for the underlying physical processes involved. GPT can also be used, thanks to Bayesian formalism, to perform model selection, i.e., comparing different models and choosing the one with maximum evidence. However, the computations involved in this particular step may become slow for data with high dimensionality, especially when comparing the evidence for many different models. Using measurements collected by the Soft X-Ray (SXR) diagnostic in the ASDEX Upgrade tokamak, we train a convolutional neural network to map SXR tomographic projections to the corresponding GPT model whose evidence is highest. We then compare the network's results, and the time required to calculate them, with those obtained through analytical Bayesian formalism. In addition, we use the network's classifications to produce tomographic reconstructions of the plasma emissivity profile.

First Observation of a Stable Highly Dissipative Divertor Plasma Regime on the Wendelstein 7-X Stellarator.

For the first time, the optimized stellarator Wendelstein 7-X has operated with an island divertor. An operation regime in hydrogen was found in which the total plasma radiation approached the absorbed heating power without noticeable loss of stored energy. The divertor thermography recorded simultaneously a strong reduction of the heat load on all divertor targets, indicating almost complete power detachment. This operation regime was stably sustained over several energy confinement times until the preprogrammed end of the discharge. The plasma radiation is mainly due to oxygen and is located at the plasma edge. This plasma scenario is reproducible and robust at various heating powers, plasma densities, and gas fueling locations. These experimental results show that the island divertor concept actually works and displays good power dissipation potential, producing a promising exhaust concept for the stellarator reactor line.

Inference of temperature and density profiles via forward modeling of an x-ray imaging crystal spectrometer within the Minerva Bayesian analysis framework.

At the Wendelstein 7-X stellarator, the X-ray imaging crystal spectrometer provides line integrated measurements of ion and electron temperatures, plasma flows, as well as impurity densities from a spectroscopic analysis of tracer impurity radiation. In order to infer the actual profiles from line integrated data, a forward modeling approach has been developed within the Minerva Bayesian analysis framework. In this framework, the inversion is realized on the basis of a complete forward model of the diagnostic, including error propagation and utilizing Gaussian processes for generation and inference of arbitrary shaped plasma parameter profiles. For modeling of line integrated data as measured by the detector, the installation geometry of the spectrometer, imaging properties of the crystal, and Gaussian detection noise are considered. The inversion of line integrated data is achieved using the maximum posterior method for plasma parameter profile inference and a Markov chain Monte Carlo sampling of the posterior distribution for calculating uncertainties of the inference process. The inversion method shows a correct and reliable inference of temperature and impurity density profiles from synthesized data within the estimated uncertainties along the whole plasma radius. The application to measured data yields a good match of derived electron temperature profiles to data of the Thomson scattering diagnostic for central electron temperatures between 2 and 5 keV using argon impurities.

Forward modeling of collective Thomson scattering for Wendelstein 7-X plasmas: Electrostatic approximation.

In this paper, we present a method for numerical computation of collective Thomson scattering (CTS). We developed a forward model, eCTS, in the electrostatic approximation and benchmarked it against a full electromagnetic model. Differences between the electrostatic and the electromagnetic models are discussed. The sensitivity of the results to the ion temperature and the plasma composition is demonstrated. We integrated the model into the Bayesian data analysis framework Minerva and used it for the analysis of noisy synthetic data sets produced by a full electromagnetic model. It is shown that eCTS can be used for the inference of the bulk ion temperature. The model has been used to infer the bulk ion temperature from the first CTS measurements on Wendelstein 7-X.

Bayesian uncertainty calculation in neural network inference of ion and electron temperature profiles at W7-X.

We make use of a Bayesian description of the neural network (NN) training for the calculation of the uncertainties in the NN prediction. Having uncertainties on the NN prediction allows having a quantitative measure for trusting the NN outcome and comparing it with other methods. Within the Bayesian framework, the uncertainties can be calculated under different approximations. The NN has been trained with the purpose of inferring ion and electron temperature profile from measurements of a X-ray imaging diagnostic at W7-X. The NN has been trained in such a way that it constitutes an approximation of a full Bayesian model of the diagnostic, implemented within the Minerva framework. The network has been evaluated using measured data and the uncertainties calculated under different approximations have been compared with each other, finding that neglecting the noise on the NN input can lead to an underestimation of the error bar magnitude in the range of 10%-30%.

Prospects of X-ray imaging spectrometers for impurity transport: Recent results from the stellarator Wendelstein 7-X (invited).

This paper reports on the design and the performance of the recently upgraded X-ray imaging spectrometer systems, X-ray imaging crystal spectrometer and high resolution X-ray imaging spectrometer, installed at the optimized stellarator Wendelstein 7-X. High resolution spectra of highly ionized, He-like Si, Ar, Ti, and Fe as well as H-like Ar have been observed. A cross comparison of ion and electron temperature profiles derived from a spectral fit and tomographic inversion of Ar and Fe spectra shows a reasonable match with both the spectrometers. The also measured impurity density profiles of Ar and Fe have peaked densities at radial positions that are in qualitative agreement with the expectations from the He-like impurity fractional abundances, given the measured temperature profiles. Repeated measurements of impurity decay times have been demonstrated with an accuracy of 1 ms via injection of non-recycling Ti, Fe, and Mo impurities using a laser blow-off system.

Cerebral venous thrombosis at high altitude: A systematic review.

BACKGROUND AND OBJECTIVE: High altitude may be a factor associated with cerebral venous thrombosis (CVT). As our knowledge of CVT at high altitude is limited, it was decided to pool such information from the available case studies to determine whether high altitude can predispose to CVT. METHODS: A systematic review of the literature was performed for cases reporting CVT at high altitude. Searches of the PubMed database (up to July 2016) were performed for publications, using 'cerebral venous thrombosis' and 'high altitude' as keywords. Cross-referencing was also done to complete the search. RESULTS: Ultimately, 13 articles were included in our systematic review. The population consisted of 17 patients, predominately male (14/17), with a mean age of 32 (range: 19-47) years. Altitude range was 3000-8200m. Nine patients stayed at high altitude for>2 weeks; the duration of high altitude stay was unknown for the remainder. A hypercoagulable state was found in nine patients: secondary polycythemia in five; protein C deficiency in one; protein S deficiency in one; and factor V Leiden mutations in two. No comorbidities were found in any of these patients. CONCLUSION: Long-term stays at high altitude in association with a hypercoagulable state - in particular, congenital or acquired thrombophilia - appears to predispose to CVT. The association of CVT with a single exposure to high altitude seems low, but the risk cannot as yet be specifically estimated.

Recurrent subarachnoid bleeding and superficial siderosis in a patient with histopathologically proven cerebral amyloid angiopathy.

A 68-year-old man with a history of hypertension presented with recurrent subarachnoid bleeding. Brain MRI showed superficial siderosis, and diagnostic cerebral angiograms did not show any intracranial vascular malformation or arterial aneurism. Post mortem neuropathological examination of the brain was consistent with a diagnosis of cerebral amyloid angiopathy. Clinicians should be aware that cerebral amyloid angiopathy should be considered in patients with unexplained recurrent subarachnoid bleeding, even in cases without familial clustering or transthyretin variant.

Botulinum toxin improves dysphagia associated with multiple sclerosis.

OBJECTIVE: To evaluate the efficacy of botulinum neurotoxin type A (BoNT/A) for severe oro-pharyngeal dysphagia associated with multiple sclerosis (MS). PATIENTS AND METHODS: BoNT/A was injected percutaneously into the hyperactive cricopharyngeal muscle of 14 dysphagic MS patients under electromyographic control. Patients were evaluated by videofluoroscopic and electromyographic examinations and by the Penetration/Aspiration Scale (PAS), at week 1, 4, 12, 16, 18, and 24 after BoNT/A injection. RESULTS: All patients showed a significant improvement in all the swallowing outcome measures. CONCLUSION: No specific treatment for oro-pharyngeal dysphagia related to MS has been described to date. Our preliminary findings suggest a potential benefit from BoNT/A treatment in MS patients with dysphagia associated with upper esophageal sphincter hyperactivity.

Dynamic sagittal half-Fourier acquired single-shot turbo spin-echo MR imaging of the temporomandibular joint: initial experience and comparison with sagittal oblique proton-attenuation images.

BACKGROUND AND PURPOSE: Our aim was to assess dynamic half-Fourier acquired single-shot turbo spin-echo (HASTE) MR imaging of the temporomandibular joint (TMJ) using parallel imaging, in comparison with static proton density (Pd) imaging. MATERIALS AND METHODS: Thirty-four TMJs from 17 subjects (7 volunteers, 10 patients) were imaged in a multichannel head coil on a 1.5 T magnet by using a 35-second dynamic sagittal HASTE acquisition (TR/TE, 1180/65 msec; matrix, 128 x 128; section thickness, 7 mm; 30 images) and sagittal oblique Pd in closed- and open-mouthed positions (TR/TE, 1800/12 msec; matrix, 256 x 256; section thickness, 2 mm; 15 sections). Images were reviewed by 3 readers and rated for confidence of disk position, presence of motion artifact, range of motion, and presence of disk displacement on a 5-point scale. Consensus review of cases was also performed to assess disk dislocation and limited range of motion. RESULTS: More static examinations were rated as having motion artifact (19.6% versus 6.9%, P=.016), limited range of motion (30.4% versus 17.7%, P=.016), and disk dislocations (31.4% versus 22.6%, P=.071). Confidence ratings were higher on dynamic examinations (4.11 versus 3.74, P=.018). Chi-squared tests demonstrated no significant difference in consensus reviews of the 2 examination types. CONCLUSION: Dynamic HASTE TMJ MR imaging is a time-efficient adjunct to standard MR imaging protocols, producing fewer motion artifacts, additional range of motion information, and a dynamic assessment of disk position, when compared with static imaging. Further study is needed to evaluate the role of this sequence in diagnosing disk displacement.

["Intentionally" limited pulmonary resection versus lobectomy for the treatment of peripheral stage IA non-small cell lung cancers]. / Resezioni polmonari limitate "intenzionali" versus lobectomie nel trattamento dei tumori polmonari periferici non microcitomi allo stadio IA.

BACKGROUND: The purpose of this study is to assess, through the retrospective analysis of our experience and the literature review, whether the limited pulmonary resection is comparable to lobectomy for treatment of the peripheral stage IA (T1N0M0) non-small cell lung cancers (NSCLC), in terms of oncologic radicality, survival and rate of local, regional and systemic recurrences. Moreover it has been considered the impact of the limited resections in comparison with the lobar resections on the postoperative pulmonary function. PATIENTS AND METHODS: We have analyzed a consecutive series of 36 patients, 28 men and 8 women, of inclusive age among the 61 to 81 years (average 73 years), who underwent surgical resection from January 2000 to December 2003 for T1N0M0 peripheral NSCLC; 11 limited resections and 25 lobectomies have been performed. Comparatively survival and recurrences (follow-up period of 3-5 years) are been analyzed, as well as the pulmonary function tests at 1 year after surgery. RESULTS: The 3-year and 5-year survivals were 88% and 82% in the patient's group underwent to limited resection , 93% and 88% in the patient's group underwent to lobectomy. Postoperative local recurrence was noted in 1 patient (9%) of the first group and in 1 patient (4%) of the second group. One year after surgery was noted a moderate decline in the forced expiratory volume in 1 second (FEV1) and in the diffusing capacity for carbon monoxide (DLCO) in the patients who underwent to lobar resection, whereas in the patient's group submitted to limited resection was observed a substantial maintenance, except for the DLCO, of the preoperative pulmonary function tests. CONCLUSIONS: Our limited experience, according to the actual tendencies of the literature, show that the limited pulmonary resections, in selected patients with peripheral stage IA NSCLC, represents a valid alternative to lobectomy in terms of survival and recurrence's rate, also determining a lower decrement of the postoperative pulmonary function. Therefore the segmentectomy can be considered, in such cases, the gold-standard procedure even if the patient is able to bear a wider resection.

[Percutaneous radio frequency thermal ablation of non-resectable lung cancer: state of the art]. / Termoablazione percutanea con radiofrequenza dei tumori polmonari inoperabili: stato dell'arte.

BACKGROUND: Unfortunately, as of yet, most lung cancers are not operable as soon as diagnosis is available; in these situations chemo- and radio-therapy still play a key role, albeit palliative, improving survival rate moderately, but are not lacking in toxic effects, especially in case of concurrent pathology, reduced cardio-respiratory functionality or being advanced in years. Therefore thermal ablation mini-invasive techniques, already employed as ancillary treatments of hepatic cancer or in place of surgery, have been performed for these pathologies. AIM: Aim of this work is to define the current state of the art for Radio-Frequency Ablation (RFA) to be performed on non-resectable lung cancer, also by means of a thorough review of international literature, from which to infer purposes, suggestions, methodologies, effectiveness, safety, complications and achievements, also in terms of the possible improvement of life quality and/or survival expectancy. PATIENTS AND METHODS: Patients have been carefully selected. Pulmonary nodules have been treated with TC or echo-guided percutaneous thermal ablation and, afterwards, evaluated by radiological and clinical (sometimes histopathological) follow-up. RESULTS: The size of the RFA-treated nodules is necessary in order to evaluate full or partial necrosis extent and, therefore, average survival rate. CONCLUSIONS: Availability of more extensive and homogeneous case histories, as well as standard follow-up (TC and/or histopathological sampling) methodologies, is required. Nevertheless several authors agree that RFA is a safe and effective technique within the framework of a substitutive or complementary treatment of non-operable lung cancer. The best results can be achieved for cancers less than 3 cm wide; RFA, performed before chemo- and/or radio-therapy, plays a neoadjuvant role for larger cancers, decreasing cancer volume and weakening the symptoms.

[Indications, surgical strategies and evaluation of prognostic factors in the treatment of pulmonary metastases]. / Indicazioni, strategie chirurgiche e studio dei fattori prognostici nel trattamento delle metastasi polmonari.

Pulmonary metastases resection is a method universally accepted in selected patients. Long-term survival reaches good levels after complete resection of lung metastases independently of primary tumour histology. The Authors emphasizes literature data; they report data of their experience no statistically significant but useful for valuation of results. They discuss of advantages vs disadvantages of the surgical procedures. In conclusion they believe metastasectomy is a safe treatment of pulmonary metastases.