The Potential of Visual ChatGPT For Remote Sensing

Recent advancements in Natural Language Processing (NLP), particularly in Large Language Models (LLMs), associated with deep learning-based computer vision techniques, have shown substantial potential for automating a variety of tasks. One notable model is Visual ChatGPT, which combines ChatGPT's LLM capabilities with visual computation to enable effective image analysis. The model's ability to process images based on textual inputs can revolutionize diverse fields. However, its application in the remote sensing domain remains unexplored. This is the first paper to examine the potential of Visual ChatGPT, a cutting-edge LLM founded on the GPT architecture, to tackle the aspects of image processing related to the remote sensing domain. Among its current capabilities, Visual ChatGPT can generate textual descriptions of images, perform canny edge and straight line detection, and conduct image segmentation. These offer valuable insights into image content and facilitate the interpretation and extraction of information. By exploring the applicability of these techniques within publicly available datasets of satellite images, we demonstrate the current model's limitations in dealing with remote sensing images, highlighting its challenges and future prospects. Although still in early development, we believe that the combination of LLMs and visual models holds a significant potential to transform remote sensing image processing, creating accessible and practical application opportunities in the field

The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One Shot

Segmentation is an essential step for remote sensing image processing. This study aims to advance the application of the Segment Anything Model (SAM), an innovative image segmentation model by Meta AI, in the field of remote sensing image analysis. SAM is known for its exceptional generalization capabilities and zero-shot learning, making it a promising approach to processing aerial and orbital images from diverse geographical contexts. Our exploration involved testing SAM across multi-scale datasets using various input prompts, such as bounding boxes, individual points, and text descriptors. To enhance the model's performance, we implemented a novel automated technique that combines a text-prompt-derived general example with one-shot training. This adjustment resulted in an improvement in accuracy, underscoring SAM's potential for deployment in remote sensing imagery and reducing the need for manual annotation. Despite the limitations encountered with lower spatial resolution images, SAM exhibits promising adaptability to remote sensing data analysis. We recommend future research to enhance the model's proficiency through integration with supplementary fine-tuning techniques and other networks. Furthermore, we provide the open-source code of our modifications on online repositories, encouraging further and broader adaptations of SAM to the remote sensing domain.Comment: 20 pages, 9 figure

The thermoplastic techniques or single-cone technique on the quality of root canal filling with tricalcium silicate-based sealer : an integrative review

The filling of the root canal system (RCS) is an important step in endodontic treatment and aims to obtain a three-dimensional sealing of the root canal spaces to prevent bacterial contamination. For this, the selection of an appropriate sealer must be p

Síndrome de Dunbar - relato de caso

Resumo A síndrome de Dunbar constitui um diagnóstico de exclusão dentro dos quadros de dor abdominal. O tratamento cirúrgico consiste na dissecção completa do ligamento e do gânglio nervoso circundante. Dessa forma, o presente caso refere-se a um paciente do sexo masculino, 45 anos, previamente hígido, com queixa de dor abdominal epigástrica com irradiação para o dorso e fraqueza. Inicialmente, foi realizada tomografia computadorizada de abdome para complementação do quadro, que evidenciou arteriopatia do tronco celíaco e da artéria mesentérica em associação com estenose. Optou-se por tratamento cirúrgico devido à refratariedade da dor, mas os achados foram inespecíficos. Houve necessidade de complementação da propedêutica com angiotomografia seriada para acompanhamento do caso. Após cerca de 6 meses, notou-se espessamento do ligamento arqueado, com compressão do terço proximal do tronco celíaco e estenose de 80%. Em meio a esse cenário, o paciente foi submetido a laparoscopia para descompressão do tronco celíaco, evoluindo satisfatoriamente no pós-operatório

Defoliation intensity and performance of soybean plants with different growth habits

The objective of this work was to evaluate the influence of the level of artificial defoliation, applied in stages V6 and R2, on the quality and yield components of soybean seeds. The experiment was conducted in a greenhouse in the municipality of Cascavel, Paraná State, Brazil. The experimental design was a randomized block with four replications, in a 5 x 2 x 2 factorial scheme (five levels of defoliation x two cultivars, two phenological stages (V6: fifth fully developed trifoliolate leaf and R2: full flowering), two growth habits). The analyzed variables were mass of 100 seeds, number of pods per plant, seed number per plant, seed number per pod, germination, dry matter of seedlings and length of shoot and roots of seedlings. Defoliation above 50% results in the reduction of the number of pods and seeds per plant to grow indeterminate growth and reduction in the mass of 100 seeds for cultivars of determined growth

Brazilian consensus on the treatment of fibromyalgia

UNIFESP Ambulatório de FibromialgiaUFPR HC ambulatório de fibromialgiaUNIFESPUNIFESP Setor de reumatismos de partes molesPUC-SP Departamento de MedicinaPUC-Campinas Hospital Universitário Serviço de ReumatologiaSociedade Brasileira de ReumatologiaSanta Casa de Belo Horizonte Ambulatório de Fibromialgia Programa de Residência Médica em ReumatologiaFMUSP HC Serviço de ReumatologiaSanta Casa de Campo Grande Setor de Reumatologia programa de Residência em Clínica MédicaUniversidade Federal de Ciências da Saúde de Porto AlegreUNiSULUniversidade Federal do Espírito Santo Hospital Universitário serviço de ReumatologiaSociedade Brasileira de Clínica MédicaSociedade Brasileira para o Estudo da DorAssociação Brasileira de Medicina Física e ReabilitaçãoUniversidade de São Paulo Faculdade de MedicinaUniversidade Federal FluminenseAcademia Brasileira de Neurologia Departamento de DorEuropean Neurological Society Subcomitê de DorPeripheral Nerve SocietyFMUSP Grupo de MãoSociedade Brasileira de ortopedia e TraumatologiaAxia.Bio farmacoeconomia e pesquisa em saúdeUNIFESP Núcleo de Gestão de PesquisasUNIFESP, Ambulatório de FibromialgiaUNIFESP, Setor de reumatismos de partes molesUNIFESP, Núcleo de Gestão de PesquisasSciEL

Erythrina velutina Willd. alkaloids : piecing biosynthesis together from transcriptome analysis and metabolite profiling of seeds and leaves

Introduction: Natural products of pharmaceutical interest often do not reach the drug market due to the associated low yields and difficult extraction. Knowledge of biosynthetic pathways is a key element in the development of biotechnological strategies for plant specialized metabolite production. Erythrina species are mainly used as central nervous system depressants in folk medicine and are important sources of bioactive tetracyclic benzylisoquinoline alkaloids (BIAs), which can act on several pathology-related biological targets. Objectives: In this sense, in an unprecedented approach used with a non-model Fabaceae species grown in its unique arid natural habitat, a combined transcriptome and metabolome analyses (seeds and leaves) is presented. Methods: The Next Generation Sequencing-based transcriptome (de novo RNA sequencing) was carried out in a NextSeq 500 platform. Regarding metabolite profiling, the High-resolution Liquid Chromatography was coupled to DAD and a micrOTOF-QII mass spectrometer by using electrospray ionization (ESI) and Time of Flight (TOF) analyzer. The tandem MS/MS data were processed and analyzed through Molecular Networking approach. Results: This detailed macro and micromolecular approach applied to seeds and leaves of E. velutina revealed 42 alkaloids, several of them unique. Based on the combined evidence, 24 gene candidates were put together in a putative pathway leading to the singular alkaloid diversity of this species. Conclusion: Overall, these results could contribute by indicating potential biotechnological targets formodulation of erythrina alkaloids biosynthesis as well as improve molecular databases with omic data from a non-model medicinal plant, and reveal an interesting chemical diversity of Erythrina BIA harvested in Caatinga

Erythrina velutina Willd. alkaloids: Piecing biosynthesis together from transcriptome analysis and metabolite profiling of seeds and leaves

Introduction: Natural products of pharmaceutical interest often do not reach the drug market due to the associated low yields and difficult extraction. Knowledge of biosynthetic pathways is a key element in the development of biotechnological strategies for plant specialized metabolite production. The scarce studies regarding non-model plants impair advances in this field. Erythrina spp. are mainly used as central nervous system depressants in folk medicine and are important sources of bioactive tetracyclic benzylisoquinoline alkaloids, which can act on several pathology-related biological targets. Objective: Herein the purpose is to employ combined transcriptome and metabolome analyses (seeds and leaves) of a non-model medicinal Fabaceae species grown in its unique arid natural habitat. The study tries to propose a putative biosynthetic pathway for the bioactive alkaloids by using an omic integrated approach. Methods: The Next Generation Sequencing-based transcriptome (de novo RNA sequencing) was carried out in a Illumina NextSeq 500 platform. Regarding the targeted metabolite profiling, Nuclear Magnetic Resonance and the High-Performance Liquid Chromatography coupled to a micrOTOF-QII, High Resolution Mass Spectrometer, were used. Results: This detailed macro and micromolecular approach applied to seeds and leaves of E. velutina revealed 42 alkaloids by metabolome tools. Based on the combined evidence, 24 gene candidates were put together in a putative pathway leading to the singular alkaloid diversity of this species. Conclusion: These results contribute by indicating potential biotechnological targets Erythrina alkaloids biosynthesis as well as to improve molecular databases with omic data from a non-model medicinal plant. Furthermore, they reveal an interesting chemical diversity in Erythrina velutina harvested in Caatinga. Last, but not least, this data may also contribute to tap Brazilian biodiversity in a rational and sustainable fashion, promoting adequate public policies for preservation and protection of sensitive areas within the Caatinga