2,593 research outputs found
RIC-HSCT for MF/SS
Get PDFAdvanced-stage mycosis fungoides and Sezary syndrome (MF/SS) have a poor prognosis. Allogeneic hematopoietic stem cell transplantation (HSCT), particularly using a reduced-intensity conditioning (RIC) regimen, is a promising treatment for advanced-stage MF/SS. We performed RIC-HSCT in nine patients with advanced MF/SS. With a median follow-up period of 954days after HSCT, the estimated 3-year overall survival was 85.7% (95% confidence interval, 33.4-97.9%) with no non-relapse mortality. Five patients relapsed after RIC-HSCT; however, in four patients whose relapse was detected only from the skin, persistent complete response was achieved in one patient, and the disease was manageable in other three patients by the tapering of immunosuppressants and donor lymphocyte infusion, suggesting that graft-versus-lymphoma effect and "down-staging" effect from advanced stage to early stage by HSCT improve the prognosis of advanced-stage MF/SS. These results suggest that RIC-HSCT is an effective treatment for advanced MF/SS
MF-SuP-pKa: multi-fidelity modeling with subgraph pooling mechanism for pKa prediction
No full textAcid-base dissociation constant (pKa) is a key physicochemical parameter in chemical science, especially in organic synthesis and drug discovery. Current methodologies for pKa prediction still suffer from limited applicability domain and lack of chemical insight. Here we present MF-SuP-pKa (Multi-Fidelity modeling with Subgraph Pooling for pKa prediction), a novel pKa prediction model that utilizes subgraph pooling, multi-fidelity learning and data augmentation. In our model, a knowledge-aware subgraph pooling strategy was designed to capture the local and global environments around the ionization sites for micro-pKa prediction. To overcome the scarcity of accurate pKa data, low-fidelity data (computational pKa) was used to fit the high-fidelity data (experimental pKa) through transfer learning. Moreover, we implemented knowledge-guided data augmentation on the pre-training data according to the consistency between acidic pKa and basic pKa. The final MF-SuP-pKa model was constructed by pre-training on the augmented ChEMBL data set and fine-tuning on the DataWarrior data set. The ablation results prove that MF-SuP-pKa gains essential benefits from subgraph pooling, multi-fidelity learning, and data augmentation. Extensive evaluation on the DataWarrior data set and three benchmark data sets shows that MF-SuP-pKa achieves superior performances to the state-of-the-art pKa prediction models while requires much less high-fidelity training data. Compared with Attentive FP, MF-SuP-pKa achieves 23.83% and 20.12% improvement in terms of mean absolute error (MAE) on the acidic and basic sets, respectively
Diagnostic value of urine deoxypyridinoline for detecting bone metastases in breast cancer patients.
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Incidence and risk factors associated with bilateral breast cancer in area with early age diagnosis but low incidence of primary breast cancer: analysis of 10-year longitudinal cohort in Taiwan.
No full textAnalysis of MF cytoskeleton in different development stages of PC.
No full text<p><b>(A</b>, <b>D</b>, <b>G)</b> MF cytoskeleton in stage I PCs from Col (<b>A</b>), <i>cpr1-j594</i> (<b>D</b>), and <i>cpr1-j2928</i> (<b>G</b>). (<b>B</b>, <b>E</b>, <b>H)</b> MF cytoskeleton in stage II PCs from Col (<b>B</b>), <i>cpr1-j594</i> (<b>E</b>), and <i>cpr1-j2928</i> (<b>H</b>). (<b>C</b>, <b>F</b>, <b>I)</b> MF cytoskeleton in stage III PCs from Col (<b>C</b>), <i>cpr1-j594</i> (<b>F</b>), and <i>cpr1-j2928</i> (<b>I</b>). Bars = 20 μm.</p
Preparation of mono-sized epoxy/MF microcapsulesin the appearance of polyvinyl alcohol as co-emulsifier
No full textFor epoxy microcapsules embedded in concrete as mechanic-triggered self-healing adhesive, globular shape with uniform size is the basic requirement to ensure the solid shell broken and the liquid core released at a designed stress. In this paper, monodispersed melamine\u96formaldehyde (MF) resin-walled epoxy E-51 microcapsules were successfully fabricated in an in situ polycondensation process, in which a certain amount of polyvinyl alcohol (PVA) solution was added as coemulsifier to control the microcapsules\u92 shape and size. Detail investigation shows, with the cooperation of PVA, the microcapsule morphologies and size distribution were ease to be adjusted by the parameters such as emulsifying agents, agitation rate, pH value and acidification time
ACT Family Violence Intervention Program review
Get PDFThis paper reports on a review of the Australian Capital Territory’s Family Violence Intervention Program, which provides an interagency response to family violence matters.
The scope of the review was to analyse the program’s activities and outcomes using 2007–08 data provided by participating agencies, supported by in-depth interviews with key stakeholders including victims whose matters had been finalised in court. After the completion of this report, additional data from 2008–09 and 2009–10 was made available by some Family Violence Intervention Program (FVIP) participating agencies. Although not within the scope of this evaluation, these data pointed to some preliminary improvements in the FVIP
NF membrane fouling by aluminum and iron coagulant residuals after coagulation-MF pretreatment
Get PDFThe effects of coagulant residuals on fouling of a nanofiltration (NF) membrane were investigated. Experiments were carried out with a laboratory-scale microfiltration (MF)-NF setup and a pilot MF-NF plant. In the laboratory-scale experiments, NF feed water was pretreated with poly-aluminum chloride (PACl) or alum followed by MF. NF membrane permeability declined when the feed water contained residual aluminum at 18 μg/L or more, but not when it was lower than 9 μg/L. When pretreated with ferric chloride, no substantial decline of NF membrane permeability was observed: residual iron did not affect the permeability. When SiO2 was added to the water before the pretreatment with PACl, the NF membrane permeability declined at about double the speed. Thermodynamic calculations and elemental analysis of foulants recovered from the membranes indicated that the majority of inorganic foulants were compounds composed of aluminum, silicate, and possibly potassium. In the pilot plant, NF feed was pretreated by PACl. Transmembrane pressure for NF doubled over 4.5 months of operation. Although the aluminum concentration in the NF feed was not high (30 μg/L), analysis of membrane foulants revealed excessive accumulation of aluminum and silicate, also suggesting that aluminum residuals caused the membrane fouling by alumino-silicates or aluminum hydroxide
MF-YOLOv10: Research on the Improved YOLOv10 Intelligent Identification Algorithm for Goods
No full textTo enhance the accuracy of identifying parts and goods in automated loading and unloading machines, this study proposes a lightweight detection model, MF-YOLOv10, based on intelligent recognition of goods’ shape, color, position, and environmental interference. The algorithm significantly improves the feature extraction and detection capabilities by replacing the traditional IoU loss function with the MPDIoU and introducing the SCSA attention module. These enhancements improve the detection performance of multi-scale targets, enabling the improved YOLOv10 model to achieve precise recognition of goods’ shape and quantity. Experimental results demonstrate that the MF-YOLOv10 model achieves accuracy, recall, mAP50, and F1 scores of 92.12%, 84.20%, 92.24%, and 87.98%, respectively, in complex environments. These results represent improvements of 7.11%, 11.29%, 8.51%, and 9.48% over the original YOLOv10 network. Therefore, MF-YOLOv10 exhibits superior detection accuracy and real-time performance in complex working environments, demonstrating significant engineering practicality
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