Miracle-dz/UniFAR-FTUs huggingface dataset:
Label ‐ Free Microcavity Biosensors : Steps toward Facilitate Personalized Medicine

Personalized medicine has the potential to improve our ability to maintain health and treat disease, while ameliorating continuously rising healthcare costs. Translation of basic research findings to clinical applications within regulatory compliance is required for personalized medicine to become the new foundation for practice of medicine. Deploying even a few of the thousands of potential diagnostic biomarkers identified each year as part of personalized treatment workflows requires clinically efficient biosensor technologies to monitor multiple biomarkers in patients in real time. This paper discusses a critical component of a regulatory system, a microcavity optical biosensor for label-free monitoring of biomolecular interactions at physiologically-relevant concentrations. While most current biosensor research focuses on improving sensitivity, this paper emphasizes other characteristics a biosensor technology requires to be practical in a clinical setting, presenting robust microcavity biosensors which are easy to manufacture and integrate with microfluidics into flexible and redesignable platforms making the microcavity biosensors deployable for continuous monitoring of biomarkers in body fluids in the clinic, in dense 2D random arrays for high-throughput applications like drug-library screening in interactomics, and of the secretory behavior of single cells in the laboratory.
Investigation on Reinforcement Effects of Nanocellulose on the Mechanical Properties, Water Absorption Capacity, Biodegradability, Optical Properties, and Thermal Stability of a Polyvinyl Alcohol Nanocomposite Film

This paper presents the reinforcement of nanocellulose (NC) in polyvinyl alcohol (PVA) to examine the effect of the amount of reinforcement on the properties of PVA. The nanocellulose was successfully extracted by sulfuric acid hydrolysis method and ultrasonication, and successively reinforced with polyvinyl alcohol by the solvent-casting method. After incorporating nanocellulose into the PVA matrix, the effect of nanocellulose on the tensile strength, elongation at break, water absorption capacity, transmittance, thermal stability, and biodegradability of PVA was investigated. The tensile strength increased from 24.5 ± 0.53 MPa to 35.5 ± 0.55 MPa and 40.6 ± 0.73 MPa with the addition of 2%NC and 5%NC, respectively. The elongation at break increased from 40 ± 0.53 % to 45.7 ± 0.53 % with 2%NC, and after the reinforcement of 7%NC, it decreased to 32.2 ± 0.75 % . The water absorption capacity result reveals that neat PVA absorbs the highest amount of water which is 84.6 ± 0.56 % and is reduced to 73 ± 0.78 % by adding 2%NC. By increasing the nanocellulose loading to 7%, the water intake capacity was reduced to 61 ± 0.59 % which illustrates the water intake was reduced linearly with the increment of NC. The ultraviolet-visible (UV-Vis) result implies that the transmittance of neat PVA and PVA-2%NC composite film was 85.4% and 78.2% at 600 nm, respectively, which indicates the decrement in transmittance. The thermogravimetry analysis (TGA) reveals that the thermal stability of polyvinyl alcohol after incorporating nanocellulose particles was reduced. The weight loss of neat PVA is 70.7 ± 1.7 % after 90 days while the weight loss of the PVA composite films reinforced with 1%, 3%, 5%, 7%, and 9% was 65 ± 1.85 % , 57 ± 1.57 % , 55.6 ± 0.64 % , 52 ± 1.73 % , and 53.1 ± 1.72 % , respectively. The scanning electron microscopy micrograph for the PVA-6%NC nanocomposite film reveals a dispersion of nanocellulose in a matrix.
Experimental and computational investigations of the effect of the electrode gap on capacitively coupled radio frequency oxygen discharges

Geometrically symmetric capacitively coupled oxygen plasmas are studied experimentally by optical emission spectroscopy and probe measurements as well as via numerical simulations using the kinetic Particle-in-Cell/Monte Carlo collision (PIC/MCC) approach. The experiments reveal that at a fixed pressure of 20 mTorr and a driving frequency of 13.56 MHz, the central electron density increases with an increased electrode gap, while the time averaged optical emission of atomic oxygen lines decreases. These results are reproduced and understood by the PIC/MCC simulations performed under identical conditions. The simulations show that the electron density increases due to a mode transition from the Drift-Ambipolar-mode to the α-mode induced by increasing the electrode gap. This mode transition is due to a drastic change of the electronegativity and the mean electron energy, which leads to the observed reduction of the emission intensity of an atomic oxygen line. The observed mode transition is also found to cause a complex non-monotonic dependence of the O 2 + ion flux to the electrodes as a function of the electrode gap. These fundamental results are correlated with measurements of the etch rate of amorphous carbon layers at different gap distances.Geometrically symmetric capacitively coupled oxygen plasmas are studied experimentally by optical emission spectroscopy and probe measurements as well as via numerical simulations using the kinetic Particle-in-Cell/Monte Carlo collision (PIC/MCC) approach. The experiments reveal that at a fixed pressure of 20 mTorr and a driving frequency of 13.56 MHz, the central electron density increases with an increased electrode gap, while the time averaged optical emission of atomic oxygen lines decreases. These results are reproduced and understood by the PIC/MCC simulations performed under identical conditions. The simulations show that the electron density increases due to a mode transition from the Drift-Ambipolar-mode to the α-mode induced by increasing the electrode gap. This mode transition is due to a drastic change of the electronegativity and the mean electron energy, which leads to the observed reduction of the emission intensity of an atomic oxygen line. The observed mode transition is also found to cau.
Sheaf theoretic cohomological dimension and finitistic spaces

For a topological n-manifold X, we proved earlier (7) that Dim z( X) = n + 1, if n > 0; and, for a zero-dimensional manifold (discrete space) we observed that Dimz(X) = 0. The question was later raised as to what are those paracompact spaces, besides discrete one, for which Dimz(X) = 0. In this paper we prove that there is none, i.e., if X is not discrete then Dim z(X) > 0. Another question which cropped up only recently in the cohomological theory of topological transformation groups is whether or not there exists a finitistic space which is not of finite (sheaf theoretic) integral cohomological dimension. We show that this question is related to a famous unsolved problem of cohomological dimension theory.
"The most ridiculous virus in the history": The role of devaluation in COVID-19 vaccine hesitancy

A cross-sectional study was conducted during the first wave of the COVID-19 pandemic (March and April 2020) in the Republic of Serbia, with the aim to evaluate the relationship between coping strategies and readiness to get a vaccine against coronavirus. At that time vaccines against COVID-19 were not developed. Coping strategies were measured on the Cybernetic Coping scale. Results confirmed that coping strategies could predict someone's negative attitudes toward vaccination. Namely, more frequent usage of devaluation was negatively associated with someone's intention to get vaccinated. It seems that underestimating the danger, believing that pandemic is not real, that COVID-19 is "just another flu-like virus" reasonably decreases the chance that someone will take precautionary measures.
Predicting social presence in videoconference-supported LMS courses: Mediation through L2 writing and speaking strategies

The issue addressed here concerns how second language (L2) speaking strategies mediate the relationship between L2 writing strategies and the social presence component of the community of inquiry (CoI) framework within the context of fully online courses that combined learning management system (LMS) for writing tasks and videoconferencing for live classroom discussion. L2 writing strategies related to planning and reviewing contribute to composing tests that students want to upload, present, and discuss, and this sharing is expected to foster classroom social behaviors and consequent language gains. For the current study, a cross-sectional survey of 256 university students was initiated to investigate the mediating effect L2 speaking strategies have on the relationship between L2 writing strategies and social presence. The results indicated positive path coefficients between review strategies and speaking strategies, review strategies and social presence, planning strategies and speaking strategies, and speaking strategies and social presence. Further, speaking strategies explain the relationship between planning strategies and social presence, indicating full mediation. Partial mediation was found for the path between review strategies and social presence. Recognizing how L2 writing and speaking strategies relate to one another and how that relationship influences a CoI illustrates the interconnectivity between language skills. Evidently, increased attention to planning and reviewing strategies results in a final composition worth sharing and discussing, and such sharing and discussion are building blocks to a vibrant social presence.
Use of Seasalt for Artemia Biomass Culture In Corporation With Biofloc Technology

In this study, Artemia were cultured at three substitution rates of seawater by sea-salt water involving 0% (control; seawater); 50 and 100% incorporated with two ways of culture method known as normal and biofloc application. The twofactorial experiment produced 8 treatments and there were 3 replicates for each. Artemia were reared in 5L plastic bottles, contained 3L culture medium with a density of 500 nauplii/L, salinity 30‰ and lasted for 4 weeks. In the first two days after stock, Artemia was fed with fresh Chaetoceros algae and after that till the end of experiment, Artemia formulated feed was used as daily food. In biofloc treatments, the C/N ratios were regulated by adding molasses into the Artemia culture medium based on TAN concentration from days 5th. Results from experiment showed that most of followed parameters such as survival, growth, reproduction as well as biomass production were more or less similarity between treatments (p>0,05) except reproduction rate. These results indicated that the sea-salt water can be used for Artemia biomass culture and bioflocs did not make sense when applied in this case, although the biomass production in bioflos treatments were a bit higher than in normal culture. However, it was calculated that the feed utilization in biofloc treatments was lesser 13.3% compared to normal culture for getting the same amount of live biomass at harvest. Besides that, biofloc application also saves water exchanges about 30% and labour cost for this work. Index term: Artemia, substitution rate, biomass production, bioflocs
Prediction of Online Consumers’ Repeat Purchase Behavior via BERT-MLP Model

It is an effective means for merchants to carry out precision marketing and improve ROI by using historical user behavior data obtained from promotional activities in order to build a model to predict the repeat purchase behavior of users after promotional activities. Most of the existing prediction models are supervised learning, which does not work well with a small amount of labeled data. This paper proposes a BERT-MLP prediction model that uses “large-scale data unsupervised pre-training + small amount of labeled data fine-tuning. ” The experimental results on Alibaba real dataset show that the accuracy of the BERT-MLP model is better than the baseline model.
Integrated spectral energy distributions of binary star composite stellar populations

This paper presents the theoretically integrated spectral energy distributions (SEDs) of binary star composite stellar populations (bsCSPs) in early-type galaxies and how the bsCSP model can be used for the spectral studies of galaxies. All bsCSPs are built based on three adjustable inputs (metallicity, ages of old and young components). The effects of binary interactions and stellar population mixture are taken into account. The results show some ultraviolet (UV) upturn SEDs naturally for bsCSPs. The SEDs of bsCSPs are affected obviously by all of the three stellar population parameters, and the effects of three parameters are degenerate. This suggests that the effects of metallicity, and the ages of the old (major in stellar mass) and young (minor) components of stellar populations should be taken into account in the SED studies of early-type galaxies. The sensitivities of SEDs at different wavelengths to the inputs of a stellar population model are also investigated. It is shown that UV SEDs are sensitive to all of the three stellar population parameters, rather than to only stellar age. Special wavelength ranges according to some SED features that are relatively sensitive to the stellar metallicity, young-component age and old-component age of bsCSPs are found by this work. For example, the shapes of SEDs with the wavelength ranges of 51105250, 52505310, 53105350, 58305970 and 20 95023 550 angstrom are relatively sensitive to the stellar metallicity of bsCSPs. The shapes of SEDs within 965985, 10051055 and 12051245 angstrom are sensitive to the old-component age, while SED features within the wavelength ranges of 21852245, 24552505, 25052555, 27752825 and 28252875 angstrom are sensitive to the young-component age. The results suggest that some line indices within these special wavelength ranges are possibly better for stellar population studies compared to the others, and greater weights may be given to these special SED parts in the determination of the stellar population parameters of early-type galaxies from fitting SEDs via bsCSPs.
Une liste sur un timbre imprimeur pour mieux faire connaître le consensus sur l ’ asthme aux médecins de première ligne et mieux le leur faire implanter

1Centre for Professional Development, University of Montreal; 2Epidemiology Department, McGill University, Montreal, Quebec Correspondence and reprints: Dr Paolo Renzi, 2065 Alexandre de Sève Z8905, Montreal, Quebec H2L 2W5. Telephone 514-890-8000 ext 28031, fax 514-412-7579, e-mail renzip@earthlink.net PM Renzi, H Ghezzo, S Goulet, E Dorval, RL Thivierge. Paper stamp checklist tool enhances asthma guidelines knowledge and implementation by primary care physicians. Can Respir J 2006;13(4):193-197.
PLANNING FOR CHANGES IN TOPSOIL C AND N STOCKS – SIGNIFICANCE IN C AND N BUDGETS

New Zealand has a history of rapid land use change as trends in global commodity markets influence primary sector financial sustainability. Traditionally, low sheep and beef returns accelerate extensive pastoral land use change to forest, particularly if supported by afforestation schemes (e.g. AGS and ETS). High dairy payout accelerate forest change to intensive pasture. Current debate around the agricultural sector participating in a carbon (C) economy is spreading in New Zealand, coincident with debate on de-intensification to reduce impacts on water quality. Farms including planted forest lands may be rewarded if they are able to show a decrease in nitrogen (N) loss to water and an increase in the terrestrial sink of C. While soil carbon change is not accounted for in the ETS a change from forest to pasture penalises the landowner for the reduction in biomass C with no reward or penalty for change in soil organic matter C and N. To account for soil carbon change, protocols to measure and monitor topsoil organic C and N storage at the farm level are needed. Evidence for consistent quantifiable change is required to support inclusion of soil organic matter change in both C and N accounting. Previous research in the Taupo (Central North Island) area has shown that conversion of forest land back to productive permanent pasture caused a fast accumulation of soil organic C (6.1 t C/ha/year) and of N (450 kg N/ha/year) as a response to fertiliser addition and plant productivity. In this paper we provide a case study of topsoil organic matter change in a forest to pasture conversion in the Taupo region. 42 paddocks from three sites (Tainui, Tauhara and Waimana; Wairakei Estate, Taupo) were monitored in 2017. The paddocks are currently under pasture management after recent (2-11 years ago) conversion from former planted forest. Marked differences in the storage of C (38 to 51 t C/ha15cm) and N (1.8 to 3.4 t N /ha15cm; Waimana site) were detected. The relevance of these changes to C and nutrient budgeting are discussed in relation to how such large and important changes can be accounted for.
ORGANIC FACIES VARIATIONS AND HYDROCARBON GENERATION POTENTIAL OF PERMIAN GONDWANA GROUP COALS AND ASSOCIATED SEDIMENTS, BARAPUKURIA AND DIGHIPARA BASINS, NW BANGLADESH

In the Barapukuria and Dighipara coal basins, NW Bangladesh, the Basement Complex is overlain by the coal‐bearing Permian Gondwana Group. In the present study, 36 core samples collected from five boreholes in these two basins were analysed using organic geochemical and organic petrological methods. Based on the results of biomarker analyses (TIC, m/z 191 and m/z 217 fragmentograms) and maceral composition (proportions of vitrinite, liptinite, inertinite), three organic facies were identified: coals, carbargillites and mudstones. Together with other evidence, cross‐plots of HI versus Tmax and Pr/nC17 versus Ph/nC18 indicate that the coals, as expected, were dominated by terrestrial organic matter (OM). The carbargillites contained a mixture of terrestrial and probable Type II aquatic OM, and the mudstones contained mostly terrestrial OM. Accordingly the coals, carbargillites and mudstones are interpreted to have been deposited in swamp‐dominated environments in a delta‐plain setting which was subject, in the case of carbargillites, to periodic flooding. Suboxic conditions were indicated by very high Pr/Ph ratios and a high content of inertinite macerals.
Accurate and Robust Visual Localization System in Large-Scale Appearance-Changing Environments

Localization in large-scale environments with robust performance is a persistent challenge for mobile robots. This article proposes a novel system to achieve accurate and robust visual localization performance in large-scale environments with appearance-changing surroundings. Our system starts from a stage of extracting stable visual features with an object segmentation network. After measurement postprocessing and extrinsic precalibration, we propose a graph-based optimization module to estimate the optimal pose as well as extrinsics. We construct optimization constraints with refined wheel odometry, feature matching between images, and correspondences between images and the prebuild map. We evaluate our segmentation module on our proposed datasets and test our localization module with seven sequences (9.8 km total length) in real port scenes with different working conditions from day to night and sunny to rainy. Experiment results demonstrate the decimeter-level accuracy and robust performance of our approach in various challenging scenarios, showing competitive performance compared with state-of-the-art LiDAR-based localization methods.
Environmental and Vegetative Controls on Soil CO2 Efflux in Three Semiarid Ecosystems

Soil CO2 efflux (Fsoil) is a major component of the ecosystem carbon balance. Globally expansive semiarid ecosystems have been shown to influence the trend and interannual variability of the terrestrial carbon sink. Modeling Fsoil in water-limited ecosystems remains relatively difficult due to high spatial and temporal variability associated with dynamics in moisture availability and biological activity. Measurements of the processes underlying variability in Fsoil can help evaluate Fsoil models for water-limited ecosystems. Here we combine automated soil chamber and flux tower data with models to investigate how soil temperature (Ts), soil moisture (θ), and gross ecosystem photosynthesis (GEP) control Fsoil in semiarid ecosystems with similar climates and different vegetation types. Across grassland, shrubland, and savanna sites, θ regulated the relationship between Fsoil and Ts, and GEP influenced Fsoil magnitude. Thus, the combination of Ts, θ, and GEP controlled rates and patterns of Fsoil. In a root exclusion experiment at the grassland, we found that growing season autotrophic respiration accounted for 45% of Fsoil. Our modeling results indicate that a combination of Ts, θ, and GEP terms is required to model spatial and temporal dynamics in Fsoil, particularly in deeper-rooted shrublands and savannas where coupling between GEP and shallow θ is weaker than in grasslands. Together, these results highlight that including θ and GEP in Fsoil models can help reduce uncertainty in semiarid ecosystem carbon dynamics.
An efficient closure based method for inverse climate modelling

In this study, a new method is developed for attributing changes in climate states by calculating the anomalous forcing functions responsible for these changes. The method relies on an iterative procedure to calculate improved estimates of the forcing function starting from an initial estimate. Running a sequence of climate models can be computationally demanding and therefore computational efficiency is an important ingredient in formulating a tractable inverse modelling scheme. It is therefore crucial to initialise the iterative procedure with a forcing function that is a good estimate of the correct forcing function to reduce the number of iterations required. This is achieved by formulating a statistical closure scheme. A statistical closure scheme enables one to overcome the closure problem in which statistical moments of higher order appear in the prognostic equations for the statistical moments of a given order. For example, the equation for the mean field depends on second-order moments and the second-order moment equations in turn depend on third-order moments. The closure scheme that we employ involves a linearisation of the second-order moment terms, which physically represent he feedback of transient eddies on the mean circulation, in terms of the mean fields. The parameters required in this closure scheme are calculated by employing perturbation experiments. We demonstrate that the closure scheme leads to simulated climate states that are in close agreement to idealised and observed climate states with pattern correlations generally greater than 0.8. These closure based estimates may then be further improved by employing the iterative method.