Reactions of 2-methylchromones with cyanoacetamides and ethyl cyanoacetate. synthesis of 6-(2-hydroxyaryl)-4-methyl-2-oxo-1,2-dihydropyridine-3- carbonitriles and 7-hydroxy-6-imino-9-methyl-6h-benzo[c]chromene-8-carbonitriles

Although 2-methylchromones react with cyanoacetamide and N-methyl cyanoacetamide in the presence of sodium ethoxide in refluxing ethanol to produce 6-(2-hydroxyaryl)-4-methyl-2-oxo-1,2-dihydropyridine-3-carbonitriles, their reactions with ethyl cyanoacetate under the same conditions took an entirely different course and gave 7-hydroxy-6-imino-9-methyl-6H-benzo[c] chromene-8-carbonitriles. © 2013 HeteroCorporation

A stochastic model of Echinococcus multilocularis transmission in Hokkaido, Japan, focusing on the infection process

Echinococcus multilocularis causes human alveolar echinococcus. In Japan, high prevalence of E. multilocularis among the fox population has been reported throughout Hokkaido. Accordingly, control measures, such as fox hunting and the distribution of bait containing Praziquantel, have been conducted. This study developed a transmission model for individuals in the fox population and included a stochastic infection process to assess the prevalence of E. multilocularis. To make our model realistic, we used the worm burden for each individual in the fox population. We assumed that the worm burden depends on the number of protoscoleces in a predated vole and the number of infection experiences. We carried out stochastic simulations with 1,000 trials for the situations of Koshimizu and Sapporo, Hokkaido, Japan. The distribution of the worm burden among foxes obtained using the model agreed with dissection data. The simulation indicates that a careful choice of season is necessary for an effective distribution of Praziquantel-containing bait. A stochastic model for E. multilocularis, which can assess the range of the prevalence in the fox population, would be helpful in analyzing their complex life-cycle and also in designing control strategies.</p

The Plasma Wave Experiment (PWE) on board the Arase (ERG) satellite

The Exploration of energization and Radiation in Geospace (ERG) project aims to study acceleration and loss mechanisms of relativistic electrons around the Earth. The Arase (ERG) satellite was launched on December 20, 2016, to explore in the heart of the Earth’s radiation belt. In the present paper, we introduce the specifications of the Plasma Wave Experiment (PWE) on board the Arase satellite. In the inner magnetosphere, plasma waves, such as the whistler-mode chorus, electromagnetic ion cyclotron wave, and magnetosonic wave, are expected to interact with particles over a wide energy range and contribute to high-energy particle loss and/or acceleration processes. Thermal plasma density is another key parameter because it controls the dispersion relation of plasma waves, which affects wave–particle interaction conditions and wave propagation characteristics. The DC electric field also plays an important role in controlling the global dynamics of the inner magnetosphere. The PWE, which consists of an orthogonal electric field sensor (WPT; wire probe antenna), a triaxial magnetic sensor (MSC; magnetic search coil), and receivers named electric field detector (EFD), waveform capture and onboard frequency analyzer (WFC/OFA), and high-frequency analyzer (HFA), was developed to measure the DC electric field and plasma waves in the inner magnetosphere. Using these sensors and receivers, the PWE covers a wide frequency range from DC to 10 MHz for electric fields and from a few Hz to 100 kHz for magnetic fields. We produce continuous ELF/VLF/HF range wave spectra and ELF range waveforms for 24 h each day. We also produce spectral matrices as continuous data for wave direction finding. In addition, we intermittently produce two types of waveform burst data, “chorus burst” and “EMIC burst.” We also input raw waveform data into the software-type wave–particle interaction analyzer (S-WPIA), which derives direct correlation between waves and particles. Finally, we introduce our PWE observation strategy and provide some initial results

Accuracy Evaluation and Branch Detection Method of 3D Modeling Using Backpack 3D Lidar SLAM and UAV-SfM for Peach Trees during the Pruning Period in Winter

In the winter pruning operation of deciduous fruit trees, the number of pruning branches and the structure of the main branches greatly influence the future growth of the fruit trees and the final harvest volume. Terrestrial laser scanning (TLS) is considered a feasible method for the 3D modeling of trees, but it is not suitable for large-scale inspection. The simultaneous localization and mapping (SLAM) technique makes it possible to move the lidar on the ground and model quickly, but it is not useful enough for the accuracy of plant detection. Therefore, in this study, we used UAV-SfM and 3D lidar SLAM techniques to build 3D models for the winter pruning of peach trees. Then, we compared and analyzed these models and further proposed a method to distinguish branches from 3D point clouds by spatial point cloud density. The results showed that the 3D lidar SLAM technique had a shorter modeling time and higher accuracy than UAV-SfM for the winter pruning period of peach trees. The method had the smallest RMSE of 3084 g with an R2 = 0.93 compared to the fresh weight of the pruned branches. In the branch detection part, branches with diameters greater than 3 cm were differentiated successfully, regardless of whether before or after pruning

Cytomegalovirus-associated biliary atresia

The pathogenesis of biliary atresia (BA) is propounded to be an immunological process, but the detailed mechanisms remain unclear. In recent studies with abnormal immunological findings, T cells have drawn attention in the mechanism of BA pathogenesis. Furthermore, cytomegalovirus (CMV) infection in BA patients resulted in elevated levels of helper T cells (Th1 and Th17) and reduction of regulatory T cells. Thus, CMV infection is considered as a cause of BA.We present the case of a 3-month-old boy who presented with intracerebral hemorrhage and finally died of liver failure. BA was diagnosed on autopsy and serum CMV-IgM was positive, but CMV antigen in the liver tissue was negative.Because CMV-associated BA has poor prognosis, compared with BA not associated with CMV, accurate classification of the type of BA is essential. Keywords: Biliary atresia, Cytomegalovirus, Cytomegalovirus-associated biliary atresi

Etiological factors in hallux valgus, a three-dimensional analysis of the first metatarsal

Abstract Background It has been reported that hallux valgus (HV) is associated with axial rotation of the first metatarsal (1MT). However, the association between HV and torsion of the 1MT head with respect to the base has not been previously investigated. The present study examined whether there was a significant difference in 1MT torsion between HV and control groups. Methods Three-dimensional (3D) computed tomography (CT) scans of 39 ft were obtained, and 3D surface models of the 1MT were generated to quantify the torsion of the head with respect to the base. The HV group consisted of 27 ft from 27 women (69.5 ± 7.5 years old). Only the feet of HV patients with an HV angle >20° on weight-bearing radiography were selected for analysis. The control group consisted of 12 ft from 12 women (67.7 ± 7.2 years old). In a virtual 3D space, two unit vectors, which describe the orientation of the 1MT head and base, were calculated. The angle formed by these two unit vectors representing 1MT torsion was compared between the control and hallux valgus groups. Results The mean (± standard deviation) of the torsional angle of the 1MT was 17.6 (± 7.7)° and 4.7 (± 4.0)° in the HV and control groups, respectively, and the difference was significant (p < 0.01). Conclusions This is the first study, to the best of our knowledge, to investigate 1MT torsion in HV patients using CT-based 3D analysis. The 1MT showed significant eversion in hallux valgus patients compared to control group patients

A case of bladder cancer after bilateral lung transplantation following bone marrow transplantation

Introduction The incidence of bladder cancer following transplantation is high; however, no previous studies have reported the development of bladder cancer following bone marrow and bilateral lung transplantations. Case presentation A 42‐year‐old man who was followed for bilateral lung transplantation due to chronic graft‐versus‐host disease following bone marrow transplantation complained of gross hematuria. Transurethral resection of the bladder tumor was performed for cT1N0M0 bladder cancer. On the following night, he experienced severe respiratory failure and was intubated. He was discharged on postoperative day 32 with the introduction of home oxygen therapy. The pathological diagnosis was invasive urothelial carcinoma, high‐grade, pT1, with urothelial carcinoma in situ. Further treatment could not be performed because of his poor performance status and immunosuppressive state. Conclusion Vigorous screening for bladder cancer coexisting with other malignancies should be performed for transplant recipients for the early diagnosis and prompt treatment of a relatively aggressive bladder cancer

An Automated, Clip-Type, Small Internet of Things Camera-Based Tomato Flower and Fruit Monitoring and Harvest Prediction System

Automated crop monitoring using image analysis is commonly used in horticulture. Image-processing technologies have been used in several studies to monitor growth, determine harvest time, and estimate yield. However, accurate monitoring of flowers and fruits in addition to tracking their movements is difficult because of their location on an individual plant among a cluster of plants. In this study, an automated clip-type Internet of Things (IoT) camera-based growth monitoring and harvest date prediction system was proposed and designed for tomato cultivation. Multiple clip-type IoT cameras were installed on trusses inside a greenhouse, and the growth of tomato flowers and fruits was monitored using deep learning-based blooming flower and immature fruit detection. In addition, the harvest date was calculated using these data and temperatures inside the greenhouse. Our system was tested over three months. Harvest dates measured using our system were comparable with the data manually recorded. These results suggest that the system could accurately detect anthesis, number of immature fruits, and predict the harvest date within an error range of &plusmn;2.03 days in tomato plants. This system can be used to support crop growth management in greenhouses