Objective: To develop the test Paper of gold-labelled antibody against fibronectin EIIIR A splicing variant, which can be available in forensic wound interval estimation.
Methods: Two sensitive antibodies were compared with enzyme link immunoabsorband assay (ELISA). After colloid gold labeled, the effects of the two antibodies were tested by methods of Dot immunogold filtration assay and gold immunochromatography assay, respectively. The test paper was finally appraised by applied in experimental skin injury in rats.
Results: On the test paper, detected line appeared in three hours wound age group, and then the darkness of positive staining became darker with injury time prolonging, while control normal skin cannot found to be positive staining.
Conclusion: The gold-labeled test paper can be useful in estimation of wounding interval in forensic science.
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J Clin Transl Endocrinol
December 2024
Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy.
Thanks to the identification of crucial molecular pathways, the therapeutic landscape for advanced differentiated thyroid tumors (DTCs) has significantly improved during the last ten years. The therapeutic scenario has been greatly impacted by the discovery of mutually exclusive gene changes in the MAPK and PI3K/AKT pathways, such as or fusions and pathogenic mutations of the and genes. Indeed, multi-kinase inhibitors and selective inhibitors have demonstrated outstanding efficacy for radioactive iodine-refractory (RAI-R) drug treatment, with overall response rates reaching up to 86%.
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School of Astronautics, Beihang University, Beijing, China.
Hyperspectral image classification in remote sensing often encounters challenges due to limited annotated data. Semi-supervised learning methods present a promising solution. However, their performance is heavily influenced by the quality of pseudo labels.
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December 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China.
Existing image fusion methods primarily focus on complex network structure designs while neglecting the limitations of simple fusion strategies in complex scenarios. To address this issue, this study proposes a new method for infrared and visible image fusion based on a multimodal large language model. The method proposed in this paper fully considers the high demand for semantic information in enhancing image quality as well as the fusion strategies in complex scenes.
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December 2024
Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
This study aims to explore various key factors influencing the academic performance of college students, including metacognitive awareness, learning motivation, participation in learning, environmental factors, time management, and mental health. By employing the chi-square test to identify features closely related to academic performance, this paper discussed the main influencing factors and utilized machine learning models (such as LOG, SVC, RFC, XGBoost) for prediction. Experimental results indicate that the XGBoost model performs the best in terms of recall and accuracy, providing a robust prediction for academic performance.
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December 2024
GOVCOPP, University of Aveiro, Aveiro, Portugal.
Introduction: Organizational Citizenship Behavior has evolved as a pivotal concept in organizational behavior because of its importance on fostering the success of organizations. Despite its recognized benefits, OCB's dimensions are not consensual in literature. The goal of this paper was to adapt and validated to be used in a broader work context an OCB scale (CCOE-R) initially developed for the Portuguese specific professional context, schools and the education sector.
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