A Case of Visceral Leishmaniasis in the Northern Adriatic Region

A 33-year-old male patient with fever, splenomegaly, pancytopenia and lymphocytosis was admitted to the Department of Hematology in Rijeka. Laboratory findings, bone marrow aspiration and biopsy excluded hemoblastosis and aplastic anemia. To exclude primary splenic lymphoma we performed splenic aspiration where Leishmania amastigotes were found. No cases of visceral leishmaniasis have been previously described in the Northern Adriatic region. Considering epidemiology, a contraction of the disease in the Velebit mountain range could be possible despite the current non-endemic status of the region

Eliksir F1 - The new sweet corn hybrid (Zea mays Var. Sacharata Sturt.)

In order to create Eliksir F1 a new hybrid, we performed a crossing of original sweet corn lines which were obtained from an artificial population by employing the inbreeding method. The aim of this paper is to compare the most significant characteristics of this hybrid and the following American hybrids: Sundance F1 Early Arctic F1, Spring Gold F1 and Reliance F1. The characteristics taken into consideration were: the earliness, total yield and the grain cob ratio. The experiment was carried out by using the random block system in four replications. The hybrids' differences were tested by Fisher's variance analysis. We found that Eliksir F1 was an early hybrid of sweet corn with the average of 1.3 ears and 1.7 side branches per plant. Eliksir F1 had the highest yield comparing to the other hybrids. The yield ranged from 11,955 kg/ha. The grain percentage was 62% of the total yield. Therefore, Eliksir F1 could be recommended as suitable for sweet corn hybrid early production

Deep learning-based algorithm for mobile robot control in textureless environment

For the implementation of stereo image-based visual servoing algorithm in the eye-in-hand robotics applications, one of the main concerns is the accurate point feature detection and matching algorithm. Since the visual servoing is carried out in the textureless environment, the feature detection process is even more challenging. To fulfill the requirement of a robust and reliable point feature detection process, in this paper we present the novel deep learning-based algorithm. The approach based on convolutional neural networks and algorithm for detection of manufacturing entities is proposed and detected regions of interest are utilized for the improvement of the point feature detection algorithm. The proposed algorithm is experimentally evaluated in real-world settings by using wheeled nonholonomic mobile robot RAICO equipped with stereo vision system. The experimental results show the improvement of 58% in the accuracy of matched point features in the images obtained during the visual servoing process. Moreover, with the implementation of the proposed deep learning-based approach, the number of successful experimental runs has increased by 80%

Deep learning-based algorithm for mobile robot control in textureless environment

For the implementation of stereo image-based visual servoing algorithm in the eye-in-hand robotics applications, one of the main concerns is the accurate point feature detection and matching algorithm. Since the visual servoing is carried out in the textureless environment, the feature detection process is even more challenging. To fulfill the requirement of a robust and reliable point feature detection process, in this paper we present the novel deep learning-based algorithm. The approach based on convolutional neural networks and algorithm for detection of manufacturing entities is proposed and detected regions of interest are utilized for the improvement of the point feature detection algorithm. The proposed algorithm is experimentally evaluated in real-world settings by using wheeled nonholonomic mobile robot RAICO equipped with stereo vision system. The experimental results show the improvement of 58% in the accuracy of matched point features in the images obtained during the visual servoing process. Moreover, with the implementation of the proposed deep learning-based approach, the number of successful experimental runs has increased by 80%

Geisha art in the Jan Colton Collection [019]

Photo of Geishas at a ceremonial tea in a Geisha house, from a Meiji period album in the Jan Colton Collection, San Diego, CaliforniaTea Cer. Geisha House Colton Coll. S.D. Meiji Per. Album Print Japan