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The Implications of Converting a High-Volume Multilane Roundabout into a Turbo Roundabout
Published 2020-01-01Get full text
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NIR‐II AIEgens nanosystem for fluorescence and chemiluminescence synergistic imaging‐guided precise resection in osteosarcoma surgery
Published 2025-01-01“…Targeted tumor imaging‐guided surgery (IGS) is facilitated by FL and CL nanoprobes (FLNP and CLNP) constructed based on BBTD14. …”
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645
Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP
Published 2025-01-01“…Abstract Objective To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL). Methods This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathological examination between July 2012 and November 2023. …”
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Human Leukocyte Antigen Class I and II Alleles and Overall Survival in Diffuse Large B-Cell Lymphoma and Follicular Lymphoma
Published 2011-01-01“…These results support a role for HLA in the prognosis of DLBCL and FL and represent a promising class of prognostic factors that warrants further evaluation.…”
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Utilizing the Ethereum blockchain for retrieving and archiving augmented reality surgical navigation data
Published 2023-02-01Get full text
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The Effect of Heat-treated Poultry Pellets and Composted Poultry Litter on E. coli Survival in Southeastern US Soils: Florida and Georgia
Published 2025-01-01“…This study evaluated the survival of E. coli over 140 d in agricultural soils amended with composted poultry litter (PL), heat-treated poultry pellets (HTPP), or unamended (UN) in Florida (FL) and Georgia (GA). Raised-bed plots (1 × 3 m2; n = 3) were either left unamended (UN) or amended with PL or HTPP (680 g/plot). …”
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An incentive mechanism with bandwidth allocation for federated learning
Published 2022-12-01“…Federated learning (FL) is an emerging machine learning paradigm that can make full use of crowd sourced mobile resources for training on decentralized data.However, it is challenging to deploy FL over a wireless network because of the limited bandwidth and clients’ selfishness.To address these challenges, an incentive mechanism with bandwidth allocation (IMBA) was proposed.Considering the difference between clients' data quality and computing power, IMBA designs a payment scheme to incentivize high-quality clients to contribute their computing resources, thus improving the training accuracy of the model.By minimizing the weight sum of training time and payment cost, the optimal payment and bandwidth allocation scheme was determined, and the training delay was reduced by optimizing bandwidth allocation.Experiments show that IMBA effectively improves training accuracy, reduces the training delay and helps the server flexibly balance training delay and hiring payment.…”
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Damage initiation in brittle and ductile materials as revealed from a fractoluminescence study
Published 2014-09-01“…Multiple chemical bond ruptures produced by elastic waves propagating from a damaged zone were accompanied by the photon emission generated throughout the sample (tribo- or fractoluminescence, FL). The statistical analysis of the FL time series detected with high resolution (10 ns) showed that the energy release distributions in brittle solids follow the power law typical for the correlated nucleation of primary defects. …”
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Benefits and Challenges of Over-Actuated Excitation Systems
Published 2010-01-01Get full text
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The Role of the Surgeon and Transurethral Resection in the Treatment of Superficial Bladder Cancer
Published 2006-01-01Get full text
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Successful Treatment of Acromegaly and Associated Hypogonadism with First-Line Clomiphene Therapy
Published 2018-01-01Get full text
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