Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks

Scoring patent documents is very useful for technology management. However, conventional methods are based on static models and, thus, do not reflect the growth potential of the technology cluster of the patent. Because even if the cluster of a patent has no hope of growing, we recognize the patent is important if PageRank or other ranking score is high. Therefore, there arises a necessity of developing citation network clustering and prediction of future citations. In our research, clustering of patent citation networks by Stochastic Block Model was done with the aim of enabling corporate managers and investors to evaluate the scale and life cycle of technology. As a result, we confirmed nested SBM is appropriate for graph clustering of patent citation networks. Also, a high MAPE value was obtained and the direction accuracy achieved a value greater than 50% when predicting growth potential for each cluster by using LSTM.Comment: arXiv admin note: substantial text overlap with arXiv:1904.1204

Community Detection and Growth Potential Prediction from Patent Citation Networks

The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises. In this paper, we propose a community detection method using the Node2vec. And in order to analyze growth potential we compare three ''time series analysis methods'', the Long Short-Term Memory (LSTM), ARIMA model, and Hawkes Process. The results of our experiments, we could find common technical points from those clusters by Node2vec. Furthermore, we found that the prediction accuracy of the ARIMA model was higher than that of other models.Comment: arXiv admin note: text overlap with arXiv:1607.00653 by other author

Successful management of pelvic recurrence of MSI-High endometrial cancer by total pelvic exenteration followed by administration of pembrolizumab:A case report

Surgery can be curative treatment for pelvic locoregional recurrence of endometrial cancer; however, a cure is contingent on complete resection. Here, we report the case of a patient in whom recurrent endometrial tumor remained in the pelvis after resection; long-term control was achieved with postoperative administration of pembrolizumab.The patient had recurrent endometrial cancer of stage IA and was treated with chemotherapy and radiation, but tumor persisted in the pelvic cavity. We therefore attempted total pelvic exenteration, but the tumor was adherent to the pelvic wall and complete resection could not be achieved. However, postoperative administration of pembrolizumab controlled the residual tumor for more than two years without regrowth. We believe that since the resected tumor was MSI-High, the residual tumor responded well to pembrolizumab. It is not known whether cytoreductive surgery contributes to a long-term response to pembrolizumab, but at least in our patient, pembrolizumab appeared to be a very effective drug therapy for MSI-High endometrial cancer that was refractory to chemotherapy and radiotherapy

The role of breast tomosynthesis in a predominantly dense breast population at a tertiary breast centre : breast density assessment and diagnostic performance in comparison with MRI

Objectives: To compare breast density measured on digital breast tomosynthesis (DBT) (BI-RADS-based breast composition and fully-automatic estimation) and magnetic resonance imaging (MRI) (BI-RADS amount of fibroglandular tissue), and to evaluate the diagnostic performance in terms of sensitivity and specificity of DBT and MRI in a predominantly dense breast population. Methods: Between 2015 and 2016, 152 women with 103 breast malignancies, who underwent 3-T breast MRI and DBT within 2 months’ time, were enrolled in this study. Breast composition/fibroglandular tissue and findings on DBT (two readers) and MRI were reported using BI-RADS 5th edition. Digital mammography images were analysed for breast percent density (PD) using the Libra software tool. Results: A majority of women had dense breasts as categorised by breast composition c (heterogeneously dense) (68%) and d (extremely dense) (15%). The mean PD was 44% (range, 18-89%) and the correlation between breast composition and PD was r = 0.6. The diagnostic performance of MRI was significantly higher compared to DBT for one reader as described by the area under the receiver operating characteristic (ROC) curve (p = 0.004) and of borderline significance for the other reader (p = 0.052). Conclusions: MRI had higher diagnostic performance than DBT in a dense breast population in the tertiary setting. Key Points: • MRI had higher diagnostic performance than DBT in a dense breast population• Diagnostic performance of DBT was comparable to MRI in women with fatty breasts• MRI was superior to DBT in preoperative breast cancer size assessmen

A Pilot Study of Transbronchial Biopsy Using Endobronchial Ultrasonography with a Guide Sheath in the Diagnosis of Peripheral Pulmonary Lesions in Patients with Interstitial Lung Disease

The occurrence of interstitial lung disease (ILD) with peripheral pulmonary lesions (PPLs) is closely linked to the development of lung cancer. Yet, the best diagnostic approach for identifying PPLs in patients with ILD remains elusive. This study retrospectively investigated the application of transbronchial biopsy (TBB) using endobronchial ultrasonography with a guide sheath (EBUS-GS) to the effective and safe diagnosis of PPLs when compared with conventional TBB. The study sample included a consecutive series of 19 patients with ILD who underwent conventional TBB or TBB using EBUS-GS at Tosei General Hospital between 1 April 2013 and 31 October 2015. The two techniques were compared based on diagnostic yield and associated complications. The diagnostic yield of EBUS-GS TBB was significantly higher than that of conventional TBB (p = 0.009), especially for small lesions (≤20 mm), lesions located in the lower lobes, lesions with a positive bronchus sign, and lesions visible by chest radiography (p = 0.010, p = 0.022, p = 0.006, and p = 0.002, respectively). There were no significant differences in complication rates. Therefore, EBUS-GS is an effective alternative for the diagnosis of PPLs in patients with ILD, without additional complications

Modeling of diffuse auroral emission on Mars: Contribution of MeV protons

International audienceRecently, a new type of the Martian aurora, diffuse aurora, has been discovered by simultaneous observations with the Solar Energetic Particle (SEP) and the imaging ultraviolet spectrograph (IUVS) instruments on board the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft [Schneider et al., 2015]. Diffuse aurora is characterized by the brightening across the nightside of Mars due to the interaction of solar energetic particles (SEPs) with the Martian atmosphere [Schneider et al., 2015, 2018]. It is unclear whether the diffuse aurora originates from precipitating electrons or protons, and previous numerical models were not able to reproduce the observed emission profiles [Schneider et al., 2015; Gérard et al., 2017; Haider and Masoom, 2019]. This study aims to model the diffuse auroral emission during SEP events by both electrons and protons to explain the observed emission profiles. We have developed a Monte Carlo model, Particle TRansport In Planetary atmospheres (PTRIP), to calculate the limb intensity profile of the CO _{2} + ultraviolet doublet (UVD) due to precipitation of energetic electrons and protons with energy ranges from 100 eV to 100 keV and from 100 eV to 5 MeV, respectively. We used electron and proton fluxes observed by MAVEN during the December 2014 SEP event and the September 2017 SEP event. Our results showed that proton-induced CO _{2} + UVD emission is brighter and narrower with respect to the altitude profile and has a lower peak altitude than electron-induced CO _{2} + UVD emission. The calculated peak altitudes of the CO _{2} + UVD limb profiles are 76 km and 56 km in the SEP events that occurred during December 2014 and September 2017, respectively, which are in good agreement with the IUVS observations. We have succeeded in reproducing the peak altitudes and shapes of the observed CO2+ UVD limb profiles using the SEP fluxes observed by MAVEN. This was possible by taking into account the contribution of protons with energy up to MeV, indicating that both energetic electrons and protons contribute to producing the observed MAVEN/IUVS diffuse aurora

Numerical prediction of the effects of solar energetic particle precipitation on the Martian atmospheric chemical composition

International audienceSolar energetic particles (SEPs) are high-energetic particles that consist mainly of electrons and protons with energies from a few tens of keV to GeV ejected associated with solar flares and coronal mass ejections. SEPs can precipitate into planetary atmospheres cause ionization, excitation and dissociation of atmospheric molecules, leading to changes in atmospheric chemical composition via chemical network [e.g. Solomon et al., 1981; Adams et al., 2021].The effect of SEPs on ozone concentration in the Earth’s polar region has been intensively studied for the past decades. For instance, during the enormous solar flare that occurred in late October 2003, NOx and HOx concentrations were enhanced and ozone concentration was depleted by 40% at the polar lower mesosphere [e.g. Jackman et al., 2005]. Increased ionization and dissociation of atmospheric N2 and O2molecules led to the production of NOx and HOx, which catalytically destroyed ozone at the polar mesosphere.Recently, the Mars Atmosphere and Volatile EvolutioN (MAVEN) spacecraft has discovered global diffuse aurora on the nightside of Mars down to few tens km in altitude during SEP events, indicating that a significant amount of energy could be deposited in the atmosphere deeper than previously thought [Schneider et al., 2015; Nakamura et al., 2022]. However, the effects of SEPs on the atmospheric chemistry of present-day Mars have not yet been investigated by observations and/or models.By coupling a Monte Carlo model PTRIP (Nakamura et al., 2022) and a newly developed photochemical model to investigate the effects of SEPs on the atmospheric compositions at Mars, we performed a simulation to track the effects of a large SEP event on the Martian atmospheric composition. We found that HOx increased by a factor of 10 and ozone decreased by a factor of 10 in the altitude range from 20 km to 60 km. This is the very first estimation of the effects of SEPs on the atmospheric neutral compositions at Mars, indicating that similar effects on HOx and ozone could be expected on Mars than on Earth