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• The study presents the first report of ATM :c.1564_1565del variant segregating with breast cancer and Ataxia-Telangiectasia (A-T) and in the same family. • This study highlights the importance of a comprehensive genomic investigation and appropriate cancer risk management of heterozygote carriers of ATM in families with A-T. • Given the age-related or moderate penetrance of ATM in breast cancer, ATM -positive family members of an affected individual with A-T are likely asymptomatic for breast or any other epithelial cancer. ATM gene is implicated in the development of breast cancer in the heterozygous state, and Ataxia-telangiectasia (A-T) in a homozygous or compound heterozygous state. Ataxia-telangiectasia (A-T) is a rare cerebellar ataxia syndrome presenting with progressive neurologic impairment, telangiectasia, and an increased risk of leukemia and lymphoma. Although the role of ATM, separately, in association with A-T and breast cancer is well documented, there is a limited number of studies investigating ATM variants when segregating with both phenotypes in the same family. Here, using joint analysis and whole genome sequencing, we investigated ATM c.1564_1565del in a family with one homozygous member presenting with A-T (OMIM # 208900) and three heterozygous members, of whom one had breast cancer (OMIM # 114480). To our knowledge, this is the first study of ATM c.1564_1565del segregation with both A-T and breast cancer phenotypes within the same kindred. This study highlights the need for a comprehensive genomic approach in the appropriate cancer risk management of heterozygote carriers of ATM in families with A-T. [ABSTRACT FROM AUTHOR]

Blade is one of the basic and key components in wind turbines. To get closer to the actual loading condition of blade under complex and extreme wind conditions to more accurately analyse the structural failure characteristics of large wind turbine blades. The structural collapse test of a 52.5 m wind turbine blade under combined loading was carried out. The entire process of damage under ultimate load was recorded and analysed in detail. The joint analysis of the failure region after the blade collapse and the failure mode during the test process were performed. The research shows that the geometrical nonlinear buckling of spar cap and shear web, the delamination result from non-uniform stress distribution and further fracture of Aft panel cause catastrophic failure of the blade. The torsional moment cause oblique cracks and oblique bulges, aggravates the expansion of the internal and external composite cracks of blade, affects the final failure mode after blade collapses (critical failure mode), and make the spar cap at suction side to clockwise twist from blade tip to root. The research results lay a theoretical foundation for subsequent model establishment and simulation analysis of large wind turbine blades under combined loading. • Composite loads of bending and torsion are closer to actual extreme wind conditions. • The joint analysis of failure modes during test and after collapses is direct and convincing. • Torsional moment causes oblique crack and oblique bulge, which aggravates composite cracks and effects critical failure mode. • The coupling mechanism of buckling, delamination and debonding is reconstructed. [ABSTRACT FROM AUTHOR]

Highlights • Nonparametric analysis of tracer testing data that can characterize multimodal behavior. • Joint analysis of conservative and reactive tracer data. • Use MCMC for joint sampling of the transfer function and the first-order reaction rate coefficient. Abstract We present a joint Bayesian inverse method for analyzing conservative and reactive tracer data, which estimates non-parametric transfer functions and effective first-order reaction rate coefficients simultaneously. A stochastic sampling approach based on Markov Chain Monte Carlo (MCMC) methods was used to simulate samples from the posteriors, with a Metropolis within Gibbs sampler used for transfer functions and reaction rate coefficients. Non-negativity constraints were realized by choosing a reflected Gaussian prior for the transfer function and a lognormal prior for the reaction rate coefficient. The approach was tested by synthetic sparse datasets with introduced normal random errors or periodic errors, and then it was applied to the tracer test data collected at Oak Ridge National Laboratory. The results indicate that the developed approach was well capable of characterizing anomalous transfer functions, such as multi-modal functions, and quantifying the uncertainty of both transfer functions and reaction rate coefficients. In particular, compared with the approach of individual inversion of sparse data, the joint inversion approach taking advantage of the sharing of information regarding transport processes across the conservative tracer and reactive tracer data leads to the improved estimation of transfer functions and reaction rate coefficients for sparse datasets. [ABSTRACT FROM AUTHOR]

Background: The joint effect of daytime naps and night sleep on the risk of stroke has not been clarified. Our research aimed to verify this relationship based on data from a large sample-sized cross-sectional study and a cohort study.Methods: The cross-sectional study included 7887 subjects, aged 20-74 years. Using stratified random sampling, 1928 individuals were selected for the cohort study. We then followed up with these individuals for an average of 4.94 years and collected detailed sleep information with the Pittsburgh Sleep Quality Index (PSQI). Serum fasting blood glucose, triglyceride, cholesterol and high density lipoprotein were analyzed, and anthropometric measurements were taken. Interaction and joint analyses were performed.Results: Consistent with the results in the cross-sectional study, hazard ratios (HRs) (95% CI) of stroke were 1.94 (1.21-3.13) and 2.24 (1.05-4.79) for daytime napping ≥1 h and nighttime sleeping ≥9 h in the cohort study. For no naps combined with <7 h of nighttime sleeping, the HR (95%CI) was 2.61 (1.17-5.82). For ≥1 h of naps combined with <7 h, 7-8 h, 8-9 h, and ≥9 h of nighttime sleeping, HRs (95% CI) were 2.16 (1.03-4.51), 2.36 (1.07-5.20), 2.41 (1.11-5.20) and 3.37 (1.05-10.81), respectively.Conclusions: Individuals with 7-8 h of night sleep combined with no daytime naps or less than 1 h of daytime napping were at low risk of stroke; nighttime sleeping ≥9 h combined with daytime napping ≥1 h and night sleep <7 h combined with 0 or >1 h daytime napping was associated with high risk of stroke. CLINICAL TRIAL REGISTRY: http://www.chictr.org.Trail Number: ChiCTR-ECH-1200272, ChiCTR-ECH-12002938. [ABSTRACT FROM AUTHOR]

3D shapes and 2D images usually contain complementary information for each other, and thus joint analysis of both of them will benefit some problems existing in different domains. Leveraging the connection between 2D images and 3D shapes, it's potential to mine lacking information of one modal from the other. Stemming from this insight, we design and implement a CNN architecture to jointly analyze shapes and images even with few training data guidance. The core of our architecture is a domain adaptation algorithm, which builds up the connection between underlying feature spaces of images and shapes, then aligns and correlates the intrinsic structures therein. The proposed method facilitates the recognition and retrieval tasks. Experiments on the shape recognition tasks show that our approach has superior performance under the difficult setting: zero-shot learning and few-shot learning. We also evaluate our method on the retrieval tasks, and demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

The increasing number and complexity of planetary exploration space missions require new tools to access, visualize and analyse data to improve their scientific return. ASI Science Data Center (ASDC) addresses this request with the web-tool MATISSE (Multi-purpose Advanced Tool for the Instruments of the Solar System Exploration), allowing the visualization of single observation or real-time computed high-order products, directly projected on the three-dimensional model of the selected target body. Using MATISSE it will be no longer needed to download huge quantity of data or to write down a specific code for every instrument analysed, greatly encouraging studies based on joint analysis of different datasets. In addition the extremely high-resolution output, to be used offline with a Python-based free software, together with the files to be read with specific GIS software, makes it a valuable tool to further process the data at the best spatial accuracy available. MATISSE modular structure permits addition of new missions or tasks and, thanks to dedicated future developments, it would be possible to make it compliant to the Planetary Virtual Observatory standards currently under definition. In this context the recent development of an interface to the NASA ODE REST API by which it is possible to access to public repositories is set. [ABSTRACT FROM AUTHOR]

Researches on the southeastern Tibetan Plateau provide important insights into the tectonic evolution of the Tibetan Plateau. In this study, we have constructed a high-resolution 3D shear-wave velocity model through joint inversion of receiver functions and surface wave dispersion data. The crustal thickness and Poisson’s ratio models are first determined by H – k stacking of receiver functions. The crustal thickness changes from 30 km in the south to 62 km in the north, presenting strong lateral variations. The fundamental mode of Rayleigh wave dispersion data spanning periods from 8 to 65 s were then jointly used to constraint the absolute shear-wave velocity. The shear-wave velocity structure shows lateral variations. There are low velocity zones distributed in the crust and upper mantle. Two continuously distributed low velocity zones are clearly presented in the middle-to-lower crust, which extend from north toward southeast and southwest, respectively, joining together in southern Yunnan. In this study, we deduced the migration model of soft materials in middle-to-lower crust in southeastern Tibetan Plateau, which explains that the resistance from Sichuan Basin separates the flowing materials from Tibetan Plateau into southeast and northwest branches. They flow along the west margin of Sichuan Basin and then extrude out from northeastern and southeastern Tibetan Plateau respectively. The southeast branch is blocked and cannot flow in the entire crust. It is limited in a certain range of depths and channels. The two low velocity zones in this study possibly present two flow channels of the middle-to-lower crustal materials extruded from the Tibetan Plateau. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to validate a model for the analysis of the load distribution through the wrist joint, subjected to forces on the axes of the metacarpals from distal to proximal for two different mesh densities. Method: To this end, the Rigid Body Spring Model (RBSM) method was used on a three-dimensional model of the wrist joint, simulating the conditions when making a grip handle. The cartilage and ligaments were simulated as springs acting under compression and tension, respectively, while the bones were considered as rigid bodies. At the proximal end of the ulna the movement was completely restricted, and the radius was allowed to move only in the lateral/medial direction. Results: With these models, we found the load distributions on each carpal articular surface of radius. Additionally, the results show that the percentage of the applied load transmitted through the radius was about 86% for one mesh and 88% for the coarser one; for the ulna it was 21% for one mesh and 18% for the coarser. Conclusions: The obtained results are comparable with previous outcomes reported in prior studies. The latter allows concluding that, in theory, the methodology can be used to describe the changes in load distribution in the wrist. [ABSTRACT FROM AUTHOR]

Oroclines are the largest scale folds on Earth, and the process of oroclinal formation is a key topic in tectonics. However, most studies of oroclines have focused on the hinge areas, where the changes in strike, and therefore the orocline shape, are most obvious. In this paper, we investigate the deformation mechanisms, the timing, and the structural and tectonic evolution of the Pisuerga–Carrión Unit, situated on the southern limb of the Cantabrian orocline at the NW of the Iberian Peninsula. The Cantabrian Orocline located in the Variscan Belt of Western Europe has been recently defined as a secondary orocline, constraining kinematics and deformation timing. Our study in the Pisuerga–Carrión Unit reveals that an out-of-sequence thrust system developed and reactivated existing structures by a flexural-slip mechanism that was diachronous with respect to oroclinal formation. Joint analysis of unconformity-bounded rock sequences provide a late Moscovian age for oroclinal initiation (ca. 308Ma), at least locally. Additionally, comparing those joint sets found in different series we quantify a minimum of 40° counterclockwise vertical axis rotation for the Pisuerga–Carrión Unit during the Late Pennsylvanian. [ABSTRACT FROM AUTHOR]

Abstract: The timing and kinematics of oroclinal bending in the core of the Ibero-Armorican Arc (IAA) has recently been constrained using paleomagnetic data from the Cantabrian Zone in northern Iberia. This study analyzes the joint-patterns present in rock units deposited pre-, syn- and post-oroclinal bending. Systematic changes in the orientations of tensional joint-sets in superimposed stratigraphic units are interpreted to record the progressive stages of oroclinal bending in the core of the IAA. Time constrains for joint set development are constrained by the known ages of the bounding unconformities that limit the studied stratigraphic units. Joint azimuth variability in the pre-orocline rocks (Neoproterozoic to pre-Upper Carboniferous) is comparable to the present arc curvature of the orocline (about 180°); the joints in the syn-orocline rocks (Upper Pennsylvanian or Stephanian, 304 to 299Ma) show a lower azimuthal variability that is comparable to about 50–70% of the total curvature seen in pre-orocline rocks. Finally, post-orocline rocks (Permian) contain joints that have uniform azimuths for each set across the entirety of the present-day arc. Together these spatially and temporally distinct joint sets suggest that rotations in the Cantabrian Zone took place in the Upper Pennsylvanian during a ca. 10Ma time period, which agrees well with previous paleomagnetic arguments. The data also provides supporting evidence for oroclinal bending by rotation around vertical axes of an initially linear, or nearly linear, orogenic belt. And finally, these data highlight the potential power in using tectonic joint sets for constraining thrust belt kinematics in curved orogenic systems when unconformity bounded stratigraphic sequences are present that are coeval with orocline development. [Copyright &y& Elsevier]

Abstract: Purpose: A joint analysis of data from five contributing centers within the ISIORT-Europe program was performed to investigate the main contributions of intra-operative radiotherapy (IORT) to the multidisciplinary treatment of pancreatic cancer. Materials and methods: Patients with a histologic diagnosis of carcinoma of the pancreas, with an absence of distant metastases, undergoing surgery with radical intent and IORT were considered eligible for participation in this study. Results: From 1985 to 2006, a total of 270 patients were enrolled in the study from five European Institutions. Surgery was performed in 91.5% of cases and complicated by adverse events in 59 cases. External radiotherapy (ERT) preceded surgery in 23.9% of cases. One-hundred and six patients received further ERT. After surgery+IORT, median follow-up was 96 months (range 3–180). Median local control was 15 months, 5-year local control was 23.3%. Median overall survival was 19 months, while 5-year survival was 17.7%. A significantly greater local control and survival were observed in patients undergoing preoperative radiotherapy (LC: median not reached; OS: median 30 months) compared to patients treated with postoperative ERT alone (LC: median 28 months; OS: median 22 months), and to patients submitted to IORT exclusively (LC: median 8 months; OS: median 13 months) (p <0.0001). Conclusion: From this joint analysis emerges the fact that preoperative radiotherapy increases the effects of IORT in terms of local control and overall survival. The 5-year local control of 23.3% confirms the beneficial “sterilizing” effect of IORT on the tumor bed. [Copyright &y& Elsevier]

• A spatial and temporal joint blind source separation method is proposed to analyze multi-subject fMRI datasets. • In the proposed method three types of sources, namely joint, partially-joint, and individual sources, are extracted. • The proposed method extracts latent sources, determines their types (joint, partially-joint, and individual), and measures their jointness. • The extract joint and partially-joint source from the analyzed real fMRI dataset are obtained without any predefined region of interest. • The proposed algorithm improve the accuracy of joint analysis of multi-subject fMRI datasets. absectionBackground Three types of sources can be considered in the analysis of multi-subject datasets: (i) joint sources which are common among all subjects, (ii) partially-joint sources which are common only among a subset of subjects, and (iii) individual sources which belong to each subject and represent the specific conditions of that subject. Extracting spatial and temporal joint, partially-joint, and individual sources of multi-subject datasets is of significant importance to analyze common and cross information of multiple subjects. We present a new framework to extract these three types of spatial and temporal sources in multi-subject functional magnetic resonance imaging (fMRI) datasets. In this framework, temporal and spatial independent component analysis are utilized, and a weighted sum of higher-order cumulants is maximized. We evaluate the presented algorithm by analyzing simulated data and one real multi-subject fMRI dataset. Our results on the real dataset are consistent with the existing meta-analysis studies. We show that spatial and temporal jointness of extracted joint and partially-joint sources in the theory of mind regions of brain increase with the age of subjects. In Richardson et al. (2018) , predefined regions of interest (ROI) have been used to analyze the real dataset, whereas our unified algorithm simultaneously extracts activated and uncorrelated ROIs, and determines their spatial and temporal jointness without additional computations. Extracting temporal and spatial joint and partially-joint sources in a unified algorithm improves the accuracy of joint analysis of the multi-subject fMRI dataset. [ABSTRACT FROM AUTHOR]

For decades, engineers have assessed and analysed steel frames using simple joints between beams and columns. These joints are often based on oversimplified assumptions using hinges or a direct transfer of beam displacements without any relative displacements. More seldom is the use of spring models that allow relative beam and column displacements at the joints. This despite the standardised component method approach, which can be used to determine the rotational spring stiffness of the relative rotation in a joint. This paper gives a background overview of essential developments in joint modelling and generalised thin-walled beam modelling, including torsional, distortional and related warping effects. For particular situations, some recent proposals for joint models can be applied to joints between thin-walled beams. On this basis, this paper presents a novel idea and a generic methodology that allows the interface between an extended number of generalised beam displacement modes and joints that are modelled using shell elements. The main novelty is the idea to transform from standard degrees of freedom of the interface into a reduced number of beam displacement mode related degrees of freedom. Thus, the number of degrees of freedom of the joint can be reduced to the corresponding total sum of beam modes that have been chosen for the modelling of each of the connected beam elements. The total number of degrees of freedom used for modelling the complete framework will depend on the selected number of modes in each beam element and on the number of extra internal modes chosen in the joint models. For enhanced structural analysis with advanced beam elements and joints that allow relevant distortions and built-in refined connection components, it is believed that this methodology will enable the full detailed analysis of large steel frameworks with a reasonable number of degrees of freedom. • A full displacement‐based mode formulation to analyse thin‐walled frames. • Illustration of activated beam modes by intensities and mode transmission. • A novel transformation of standard degrees of freedom into mode‐based degrees of freedom. • A review on the development of transmission and modelling of joint stiffness in frames. • A review on the development of advanced elastic thin‐walled beam theories. [ABSTRACT FROM AUTHOR]