1,721,023 research outputs found

    Benedetto Croce und die Deutschen

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    Volume di saggi sul rapporto tra Croce e la cultura tedesca, filosofica, letteraria e politica

    Molecular and morphological characterization of Melanothamnus testudinis sp. nov. (Rhodophyta, Rhodomelaceae) and its distinction from Polysiphonia carettia.

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    The association between epizoic algae and animals is well known, and turtles are among the animals that most commonly host epibiont communities. The most studied algal component of the epizoic communities found on turtles is represented by diatoms, while other algal taxa, like the Rhodophyta, are less investigated. During a survey started to study the epibionts associated with loggerhead turtles, Caretta caretta, cared for at the WWF Sea Turtle Rescue Center of Lampedusa Island (Sicily, Italy), specimens of Rhodomelaceae (Rhodophyta) were collected for taxonomic investigation. The resulting vegetative, reproductive, and molecular data of those specimens characterised the new species described here as Melanothamnus testudinis sp. nov. We also evaluated the holotype of Polysiphonia carettia Hollenberg, an epibiont of C. caretta reported from the Mediterranean Sea. This investigation confirmed the distinction of M. testudinis from P. carettia and suggested that previous Mediterranean and Canarian records of the latter species are probably M. testudinis

    Sequence-based imitation learning for surgical robot operations

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    Aim: This paper aims to advance autonomous surgical operations through imitation learning from video demonstrations. Methods: To address this objective, we propose two main contributions: (1) We introduce a new dataset of virtual kidney tumor environments to train our model on. The dataset is composed of video demonstrations of tumor removal from the kidney, executed in a virtual environment, and kinematic data of the robot tools; (2) We employed an imitation learning architecture composed of vision transformers (ViT) to handle the frames extracted from the videos and of a long short-term memory (LSTM) structure to process surgical motion sequences with a sliding window mechanism. This model processes video frames and prior poses to predict the poses for both robotic arms. A self-generating sequence approach was implemented, where each predicted pose served as the latest element in the sequence, subsequently used as input for the next prediction together with the current frame of the video. The choice of architecture and methodology was guided by the need to effectively model the sequential nature of surgical operations. Results: The model achieved promising results, exhibiting an average position error of 0.5 cm. The model was able to execute correctly 70% of the test tasks. This highlights the sequence-based approach's efficacy in capturing and predicting surgical trajectories. Conclusion: Our study supports imitation learning's viability for acquiring task execution policies in surgical robotics. The sequence-based model, combining ViT and LSTM architectures, successfully handles surgical trajectories

    Risultati preliminari di uno studio molecolare e citologico su Polysiphonia carettia e “Neosiphonia sertularioides” (Rhodomelaceae, Rhodophyta)

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    Sono presentati dati molecolari e citologici ottenuti su campioni raccolti in Sicilia attribuibili alle specie Polysiphonia carettia e Neosiphonia sertularioides (Rhodophyta). In particolare, le analisi sul campione di P. carettia, raccolto dal carapace di una tartaruga marina, suggeriscono l'esistenza di una nuova specie
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