17 research outputs found
Design of Three-Dimensional Optical Circuit Devices by Using Topology Optimization Method with Function-Expansion-Based Refractive Index Distribution
We extend topology optimization method with function-expansion-based refractive index distribution to optimization for three-dimensional optical circuits, in which a refractive index distribution in a design region is expressed by an expansion with some analytical functions. Three-branch optical waveguides have been optimized as numerical examples. Equally branching three-branch waveguides are achieved using our method. A limitation of topology optimization in two dimensions and dependency of initial structure are also shown
Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation
Long-term field monitoring of leaf pigment content is informative for understanding plant responses to environments distinct from regulated chambers but is impractical by conventional destructive measurements. We developed PlantServation, a method incorporating robust image-acquisition hardware and deep learning-based software that extracts leaf color by detecting plant individuals automatically. As a case study, we applied PlantServation to examine environmental and genotypic effects on the pigment anthocyanin content estimated from leaf color. We processed >4 million images of small individuals of four Arabidopsis species in the field, where the plant shape, color, and background vary over months. Past radiation, coldness, and precipitation significantly affected the anthocyanin content. The synthetic allopolyploid A. kamchatica recapitulated the fluctuations of natural polyploids by integrating diploid responses. The data support a long-standing hypothesis stating that allopolyploids can inherit and combine the traits of progenitors. PlantServation facilitates the study of plant responses to complex environments termed "in natura"
Demonstration of the wide control range Q factor of ring cavity with ultrashort directional coupler and curved photonic-crystal ring waveguide
Lensless computer-generated hologram with wavelength-order resolution consisting of photon sieves
Enhancement of the Q value of a microring resonator by introducing curved photonic crystal waveguides
Efficacy of paclitaxel‐carboplatin with bevacizumab as a late‐line therapy for patients with advanced nonsquamous non‐small cell lung cancer: A platinum rechallenge
Abstract Background There is no well‐established late‐line treatment for advanced nonsquamous non‐small cell lung cancer (NSCLC). Therefore, we retrospectively determined the efficacy and safety of platinum rechallenge with paclitaxel‐carboplatin and bevacizumab in patients with nonsquamous NSCLC as a late‐line therapy in a clinical setting. Methods Thirty patients with nonsquamous NSCLC who received paclitaxel‐carboplatin with bevacizumab therapy as a late‐line treatment at Sendai Kousei Hospital (Miyagi, Japan) between December 2011 and December 2021 were enrolled into the study. The efficacy and safety of this treatment were evaluated. The patients were further categorized into responders and nonresponders, and predictive factors of treatment response were estimated. Results The median progression‐free survival (PFS) was 6.3 (range, 4.9–6.8) months, and the median overall survival (OS) was 11.8 (range, 7.2–17.2) months. There were no significant differences in PFS and OS between patients with and those without epidermal growth factor receptor mutations. In the univariate analyses of this study, responders were younger than nonresponders (p = 0.012). No fatal adverse events were reported. Conclusions With the increase in the number of treatment options in recent years, the sequence of treatments and overall therapeutic strategy are becoming increasingly important. Thus, platinum rechallenge with paclitaxel‐carboplatin and bevacizumab, a late‐line treatment for patients with nonsquamous NSCLC, may be an effective therapeutic option