3,274 research outputs found
Empirical determination of the carbon impacts of urban forest management in Hong Kong: Removal of Acacia confusa and Leucaena leucocephala
Urban trees contribute to decarbonisation. However, the removal of trees may release the stored carbon within them. In Hong Kong, Acacia confusa and Leucaena leucocephala are being removed, but with unknown carbon impacts. This industry-academia-government collaborative research aimed to: (1) report the amount of carbon stored inside A. confusa and L. leucocephala harvested from slopes; (2) estimate the carbon storage of a tree using dendrometric measurements; and (3) explain the variation in carbon content percentage of urban trees with respect to tree species, part of the tree, and position within the part. 10 A. confusa and 10 L. leucocephala were harvested during MarchâSeptember, 2023. Each tree was weighed for carbon storage estimation. Results showed that A. confusa had higher mean wood volume, biomass and carbon storage than L. leucocephala. The mean carbon content of the analysed samples (45.53â52.58%) were mostly significantly different from 50%. But the difference may become insignificant depending on how volatile carbon loss was controlled. Diameter at breast height (mm) was a significant predictor of carbon storage (kg) for both A. confusa (β = 0.9574) and L. leucocephala (β = 0.3909). Significant interaction between tree species and tree part on carbon content percentage was confirmed. This research demonstrated the impacts of past arboricultural decisions on present decarbonisation plans
Controlled-release nanoencapsulating microcapsules to combat inflammatory diseases
The World Health Organization (WHO) has reported that globally 235 million people suffer from chronic and other inflammatory diseases. The short half-lives of nonsteroidal anti-inflammatory drugs (NSAIDs) and their notoriety in causing gastrointestinal discomforts, warrants these drugs to be released in a controlled and sustained manner. Although polymeric particles have been widely used for drug delivery, there are few reports that showcase their ability in encapsulating and sustaining the release of NSAIDs. In this paper, polymeric nanoencapsulating microcapsules loaded with NSAIDs were fabricated using solid/water/oil/water emulsion solvent evaporation method. Two NSAIDs, ibuprofen and naproxen, were first pre-loaded into nanoparticles and then encapsulated into a larger hollow microcapsule that contained the third NSAID, celecoxib. A high encapsulation efficiency (%) of these NSAIDs was achieved and a sustained release (up to 30 days) of these drugs in phosphate-buffered saline was observed. Then, a gastrointestinal drug â cimetidine (CIM) â was co-loaded with the NSAIDs. This floating delivery system exhibited excellent buoyancy (~88% up to 24 h) in simulated gastric fluid. It also allowed a sequential release of the drugs, whereby an immediate release of CIM followed by NSAIDs was observed. Drug release of the NSAIDs observed Fickian diffusion mechanism, whereas CIM observed non-Fickian diffusion. Therefore, this delivery system is a promising platform to control the delivery of NSAIDs to combat inflammatory diseases, thereby protecting against possible gastrointestinal side effects that may arise from the overuse of NSAIDs.MOE (Min. of Education, Sâpore)Published versio
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
Good figure captions help paper readers understand complex scientific
figures. Unfortunately, even published papers often have poorly written
captions. Automatic caption generation could aid paper writers by providing
good starting captions that can be refined for better quality. Prior work often
treated figure caption generation as a vision-to-language task. In this paper,
we show that it can be more effectively tackled as a text summarization task in
scientific documents. We fine-tuned PEGASUS, a pre-trained abstractive
summarization model, to specifically summarize figure-referencing paragraphs
(e.g., "Figure 3 shows...") into figure captions. Experiments on large-scale
arXiv figures show that our method outperforms prior vision methods in both
automatic and human evaluations. We further conducted an in-depth investigation
focused on two key challenges: (i) the common presence of low-quality
author-written captions and (ii) the lack of clear standards for good captions.
Our code and data are available at:
https://github.com/Crowd-AI-Lab/Generating-Figure-Captions-as-a-Text-Summarization-Task.Comment: Accepted by INLG-202
A Self-Replicating Linear DNA
TelN and tos are a unique DNA linearization unit isolated from bacteriophage N15. While being transferable, the TelN cleaving-rejoining activities remained stable to function on tos in both bacterial and mammalian environments. However, TelN contribution in linear plasmid replication in mammalian cells remains unknown. Herein, we investigated the association of TelN in linear tos-containing DNA (tos-DNA) replication in mammalian cells. Additionally, the mammalian origin of replication (ori) that is well-known to initiate the replication event of plasmid vectors was also studied. In doing so, we identified that both TelN and mammalian initiation sites were essential for the replication of linear tos-DNA, determined by using methylation sensitive DpnI/MboI digestion and polymerase chain reaction (PCR) amplification approaches. Furthermore, we engineered the linear tos-DNA to be able to retain in mammalian cells using S/MAR technology. The resulting S/MAR containing tos-DNA was robust for at least 15 days, with (1) continuous tos-DNA replication, (2) correct splicing of gene transcripts, and (3) stable exogenous gene expression that was statistically comparable to the endogenous gene expression level. Understanding the activities of TelN and tos in mammalian cells can potentially provide insights for adapting this simple DNA linearization unit in developing novel genetic engineering tools, especially to the eukaryotic telomere/telomerase study
Differentiating impacts of nonâpharmaceutical interventions on nonâcoronavirus diseaseâ2019 respiratory viral infections: Hospitalâbased retrospective observational study in Taiwan
Background
Physical distancing and facemask use are worldwide recognized as effective non-pharmaceutical interventions (NPIs) against the coronavirus disease-2019 (COVID-19). Since January 2020, Taiwan has introduced both NPIs but their effectiveness on non-COVID-19 respiratory viruses (NCRVs) remain underexplored.
Methods
This retrospective observational study examined electronic records at a tertiary hospital in northern Taiwan from pre-COVID (JanuaryâDecember 2019) to post-COVID period (JanuaryâMay 2020). Patients with respiratory syndromes were tested for both enveloped (eg, influenza virus and seasonal coronavirus) and non-enveloped RVs (eg, enterovirus and rhinovirus) using multiplex reverse transcription polymerase chain reaction assays. Monthly positivity rates of NCRVs among adult and pediatric patients were analyzed with comparison between pre- and post-COVID periods.
Results
A total of 9693 patients underwent 12 127 multiplex RT-PCR tests. The average positivity rate of NCRVs reduced by 11.2% (25.6% to 14.4%) after nationwide PHIs. Despite the COVID-19 pandemic, the most commonly identified enveloped and non-enveloped viruses were influenza virus and enterovirus/rhinovirus, respectively. Observed reduction in NCRV incidence was predominantly contributed by enveloped NCRVs including influenza viruses. We did not observe epidemiological impacts of NPIs on non-enveloped viruses but an increasing trend in enterovirus/rhinovirus test positivity rate among pediatric patients. Our data were validated using Taiwan's national notification database.
Conclusions
Our frontline investigation suggests that the current NPIs in Taiwan might not effectively control the transmission of non-enveloped respiratory viruses, despite their protective effects against influenza and seasonal coronavirus. Health authorities may consider using hydrogen peroxide or chloride-based disinfectants as additional preventative strategies against non-enveloped respiratory viruses in the post-COVID-19 era
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