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1041
Survival of an emerging foodborne pathogen : Group B Streptococcus (GBS) serotype III sequence type (ST) 283—under simulated partial cooking and gastric fluid conditions
Published 2020“…The mean D-values of four GBS strains ranging from 0.72 to 0.88 min in neutral pH tryptone soy broth at 56.4 °C and 0.44–1.43 min at pH 2.35 at 37 °C in simulated gastric fluid, were significantly lower (p < 0.05) than those of E. coli O157:H7 and L. monocytogenes. …”
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Journal Article -
1042
Infection risk of SARS-CoV-2 in a dining setting : deposited droplets and aerosols
Published 2022“…The AER from speaking was 24698 #/min in the size range of 0.3-5.5 μm, while the DDR was 365 #/min in the size range of 43-2847 μm. …”
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Journal Article -
1043
Layered oxides supported Co-Fe bimetal catalyst for carbamazepine degradation via the catalytic activation of peroxymonosulfate
Published 2022“…Results show that Co2FeAl-LDO/PMS exhibited high removal of CBZ (>99%) in 30 min with the reaction rate constant (kobs) of 0.2103 min−1. …”
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Journal Article -
1044
Chromium removal from aqueous solution using natural clinoptilolite
Published 2023“…Pretreatment of the clinoptilolite with NaCl enabled it to treat more bed volume (BV) (64 BV) at a breakthrough point of 0.5 mg/L of Cr concentration and achieve a longer breakthrough time (1500 min) for the first run, as compared to as-received clinoptilolite (32 BV; 250 min). …”
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Journal Article -
1045
Machine-learning-assisted optimization of a single-atom coordination environment for accelerated fenton catalysis
Published 2023“…Through ML-guided optimization, a highly efficient SAC dominated by Fe-N5 sites with exceptional Fenton activity (k = 0.158 min-1) is identified. Our work provides an example for ML-assisted optimization of single-atom coordination environments and illuminates the feasibility of ML in accelerating the development of high-performance catalysts.…”
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Journal Article -
1046
Novel drug-eluting stent to reduce fibrosis-induced ureteral stricture
Published 2015“…High performance liquid chromatography and scanning electron microscopy were used to monitor the amount of drug released at various time points (10min, 30min, 6hr, 1,3,7,14,21 and 28 days) and to observe surface morphology of the coated stents respectively. …”
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Final Year Project (FYP) -
1047
Accelerometer-based sedentary time, light physical activity, and moderate-to-vigorous physical activity from childhood with arterial stiffness and carotid IMT progression: a 13-yea...
Published 2024“…Persistent exposure to ≥60 min/day of MVPA was inversely associated with cIMT progression in females −0.017 mm; [(−0.026 to −0.009); p < 0.001]. …”
Journal article -
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1049
Generative artificial intelligence : exploring the power and potential of generative AI /
Published [202“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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1050
Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods
Published 2022“…In general, we built a system based on the ABSA Deep Learning model to make fine-grained and topic-specific sentiment analyses on public opinion trends. …”
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Thesis-Master by Coursework -
1051
Low power DFT filter bank based two-stage spectrum sensing
Published 2013“…The paper presents a low power discrete Fourier transform (DFT) filter bank based two-stage spectrum sensing with energy detector (ED) for the first stage coarse sensing, complemented by a cyclostationary feature detector (CFD) for fine spectrum sensing. The dynamic power of the sensing operation depends on the sampling rate at which computations are performed. …”
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Conference Paper -
1052
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1053
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1054
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1055
Suction and strength of unsaturated soils
Published 2021“…Lastly, Brazilian tensile strength tests were conducted, and a new tensile strength model was developed for both coarse and fine-grained soils.…”
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Thesis-Doctor of Philosophy -
1056
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1057
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1059
Llama2 self-improvement using memory-of-thought
Published 2024“…Memory-of-Thought (MoT) is a newly proposed mechanism for LLMs to self-improve without annotated datasets and expensive resource consumption for fine-tuning models. This project evaluates the effectiveness of MoT on a pre-trained Large Language Model Llama2 and compares the performance of improved Llama2 with ChatGPT3.5 API on 10 benchmark data sets. …”
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Thesis-Master by Coursework -
1060