1,646 research outputs found
Inoculação de Lacazia loboi no tecido celular subcutâneo da bolsa jugal do hamster
The subcutaneous tissue of the hamster cheek pouch, a site of immunologic privilege, has been used to investigate the potential infectivity of different types of parasites. It has been demonstrated that the implantation of fragments of lesions induced by the fungus Lacazia loboi, the etiologic agent of Jorge Lobo's disease, into the subcutaneous tissue of the hamster cheek pouch resulted in parasite multiplication and dissemination to satellite lymph nodes16. Here we describe the evolution of lesions induced by the inoculation of the isolated fungus into this immunologically privileged site. The morphology of the inflammatory response and fungal viability and proliferation were evaluated. Inoculation of the fungus into the cheek pouch induced histiocytic granulomas with rare lymphocytes. Although fungal cells were detected for a period of up to 180 days in these lesions, the fungi lost viability after the first day of inoculation. In contrast, when the parasite was inoculated into the footpad, non-organized histiocytic lesions were observed. Langhan's giant cells, lymphocytes and fungal particles were observed in these lesions. Fungal viability was observed up to 60 days after inoculation and non-viable parasites were present in the persistent lesions up to 180 days post-inoculation. These data indicate that the subcutaneous tissue of the hamster cheek pouch is not a suitable site for the proliferation of Lacazia loboi when the fungus isolated from human tissues is tested.O tecido celular subcutâneo da bolsa jugal do hamster, um local de privilégio imunológico, tem sido usado para a investigação da infectividade potencial de diferentes tipos de parasitas. Está demonstrado que o implante de fragmentos de lesões induzidas pelo fungo Lacazia loboi, o agente etiológico da doença de Jorge Lobo, no tecido subcutâneo da bolsa jugal do hamster resultou na multiplicação e disseminação do parasita para linfonodos satélites16. Neste trabalho, descrevemos a evolução de lesões induzidas pela inoculação do fungo isolado de lesões de humanos neste sítio de privilégio imunológico. A morfologia da resposta inflamatória, a viabilidade e proliferação do fungo foram analisadas. A inoculação do fungo na bolsa jugal induziu granulomas com raros linfócitos. Embora células fúngicas tenham sido observadas até 180 dias após inoculação, os fungos perderam viabilidade após o primeiro dia da inoculação. Contrariamente, quando o fungo foi inoculado no coxim plantar dos animais, foram observadas lesões histiocitárias não organizadas. Células gigantes do tipo Langhans, linfócitos e fungos foram observados nessas lesões. Quando inoculado na pata dos animais, a viabilidade do fungo foi observada até 60 dias após inoculação. Parasitas não viáveis foram observados em lesões de até 180 dias. Esses dados indicam que o tecido celular subcutâneo da bolsa jugal do hamster não é local adequado para a proliferação do Lacazia loboi quando o fungo isolado de tecido humano é testado
Sequence-to-Sequence Spanish Pre-trained Language Models
In recent years, substantial advancements in pre-trained language models have
paved the way for the development of numerous non-English language versions,
with a particular focus on encoder-only and decoder-only architectures. While
Spanish language models encompassing BERT, RoBERTa, and GPT have exhibited
prowess in natural language understanding and generation, there remains a
scarcity of encoder-decoder models designed for sequence-to-sequence tasks
involving input-output pairs. This paper breaks new ground by introducing the
implementation and evaluation of renowned encoder-decoder architectures,
exclusively pre-trained on Spanish corpora. Specifically, we present Spanish
versions of BART, T5, and BERT2BERT-style models and subject them to a
comprehensive assessment across a diverse range of sequence-to-sequence tasks,
spanning summarization, rephrasing, and generative question answering. Our
findings underscore the competitive performance of all models, with BART and T5
emerging as top performers across all evaluated tasks. As an additional
contribution, we have made all models publicly available to the research
community, fostering future exploration and development in Spanish language
processing
Displacement Damage and Self-Healing in High-Entropy Alloys: a TEM with in situ ion irradiation study
Recent developments in the field of materials for future nuclear fusion reactors have led to the design of innovative metallic alloys that can sustain their mechanical and structural properties under a wide variety of extreme conditions, such as fast neutrons (E <= 14 MeV) and alpha particle bombardment (4He with E up to ~ 3.5 MeV). High-Entropy Alloys (HEAs) are promising candidates for new concepts of nuclear reactors as they have mechanical properties and thermodynamic stability that is believed to be superior to conventional metallic alloys, although their radiation resistance is still a subject of intense research. The efforts to understand the behavior of HEAs under particle irradiation indicated a possible “self-healing” effect of radiation induced defects. In this report, a preliminary study using Transmission Electron Microscopy (TEM) with in situ ion irradiation was performed to investigate the formation and evolution of displacement damage in the microstructure of a FeCrMnNi HEA
ALBETO and DistilBETO: Lightweight Spanish Language Models
In recent years there have been considerable advances in pre-trained language
models, where non-English language versions have also been made available. Due
to their increasing use, many lightweight versions of these models (with
reduced parameters) have also been released to speed up training and inference
times. However, versions of these lighter models (e.g., ALBERT, DistilBERT) for
languages other than English are still scarce. In this paper we present ALBETO
and DistilBETO, which are versions of ALBERT and DistilBERT pre-trained
exclusively on Spanish corpora. We train several versions of ALBETO ranging
from 5M to 223M parameters and one of DistilBETO with 67M parameters. We
evaluate our models in the GLUES benchmark that includes various natural
language understanding tasks in Spanish. The results show that our lightweight
models achieve competitive results to those of BETO (Spanish-BERT) despite
having fewer parameters. More specifically, our larger ALBETO model outperforms
all other models on the MLDoc, PAWS-X, XNLI, MLQA, SQAC and XQuAD datasets.
However, BETO remains unbeaten for POS and NER. As a further contribution, all
models are publicly available to the community for future research.Comment: Accepted paper at LREC202
Evernote como ferramenta de organização de informações em saúde
Prontuários físicos vem sendo substituídos por prontuários virtuais em vários cenários. Na área de saúde softwares vem sendo desenvolvidos com o objetivo de auxiliar o profissional de saúde em sua prática. Cada um possui vantagens e desvantagens e nem sempre se adequam à rotina do profissional. O aplicativo gratuito Evernote é uma opção para aqueles desejosos em personalizar a própria organização de arquivos ou documentos e compartilhar informações com outros profissionais de saúde e/ou clientes
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