281 research outputs found
Publisher Correction: Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
No full textCorrection to: Scientific Reportshttps://doi.org/10.1038/s41598-024-65837-0, published online 01 July 2024 In the original version of this Article, Changhyun Jun and Aitazaz Ahsan Farooque were omitted as corresponding authors. The correct corresponding authors for this Article are Masoud Karbasi, Changhyun Jun and Aitazaz Ahsan Farooque. The original Article has been corrected. © The Author(s) 2024
Soil Nutrient Availability, Plant Nutrient Uptake, and Wild Blueberry (Vaccinium angustifolium Ait.) Yield in Response to N-Viro Biosolids and Irrigation Applications
No full textWe compared the impact of surface broadcasted N-Viro biosolids and inorganic fertilizer (16.5% Ammonium sulphate, 34.5% Diammonium phosphate, 4.5% Potash, and 44.5% s and/or clay filler) applications on soil properties and nutrients, leaf nutrient concentration, and the fruit yield of lowbush blueberry under irrigated and nonirrigated conditions during 2008-2009 at Debert, NS, Canada. Application rates of N-Viro biosolids were more than double of inorganic fertilizer applied at a recommended N rate of 32 kg ha−1. The experimental treatments NI: N-Viro with irrigation, FI: inorganic fertilizer with irrigation, N: N-Viro without irrigation, and F: inorganic fertilizer without irrigation (control) were replicated four times under a randomized complete block design. The NI treatment had the highest OM (6.68%) followed by FI (6.32%), N (6.18%), and F (4.43%) treatments during the year 2008. Similar trends were observed during 2009 with the highest soil OM values (5.50%) for NI treatment. Supplemental irrigation resulted in a 21% increase in the ripe fruit yield. Nonsignificant effect of fertilizer treatments on most of the nutrient concentrations in soil and plant leaves, and on ripe fruits yield reflects that the performance of N-Viro was comparable with that of the inorganic fertilizer used in this study
EXPERIMENTAL VALIDATION AND CFD PREDICTION OF NATURAL CONVECTION IN A VERTICAL PIPE USING FLUENT 14.5 SOLVER
No full textIn this study, an experimental and CFD prediction of natural convection heat transfer in a vertical cylinder (pipe) is done by FLUENT 14.5 solver. Rosseland radiation model available in ANASYS CFD FLUENT 14.5 software will be investigate to find their usefulness for different parameters and cases as well as their limitation. Simulations will be performed with systematic parameterization to investigate the effect of changing models and parameters. Governing equations are solved using a finite volume method. The set up consist of brass cylinder with air as a working fluid. CFD results and experimental results are compared which validate the software result. The present analytical studies help to give best suitable material for free convection in a vertical cylinder
Multi scale context aware drug review sentiment analysis using pretrained med-BERT.de
No full textA massive amount of drug-related data is available online in the form of reviews and comments. This data could be leveraged in analyzing the opinion and sentiments of users related to the drug. The written medical texts of patients and carers, in particular, have a considerable influence on how people, physicians, and drug developers regard drug users. Sentiment analysis approaches have grown from fundamental concepts to advanced methods of machine learning such as deep learning, which has emerged as a recent development in many NLP applications. The emergence of transformer-based models has revolutionized the field even further.. However, most of them have worked on the dataset from a single source with a limited number of rows and a general-purpose model for analysis, making them incapable of capturing the contextual meaning of medical terms used in the text. This defect affects the performance of the pharmaceutical recommendation system. Hence, this study proposes sentiment analysis of drug reviews using the medical domain-specific pre-trained transformer-based model medBERT.de. The proposed model achieved the highest F-score of 83%, a precision of 84% for optimal hyperparameter values of epochs=3, learning rate= 2e-5, batch size=32 and decay_weight= 0.1 , suggesting the model works fine in capturing the medical terms used in the dataset
Impact of wild blueberry fruit characteristics and machine parameters on picking performance of a mechanical harvester: Basis for automation
No full textIn Pres
Ensuring Security and Privacy in VANET: A Comprehensive Survey of Authentication Approaches
No full textVehicular ad hoc networks (VANET) are revolutionizing intelligent transportation systems (ITS), and as a result, research on their security is becoming increasingly important. As the primary security concern for VANET, authentication security is still quite difficult to achieve. Consequently, the prior knowledge of VANET is covered in this survey before outlining the primary security concerns. To set itself apart from previous surveys, this study suggests security properties and challenges among VANET. Next, the essential and significant features of a secure VANET system, such as confidentiality and integrity of data, and the availability of network systems have been reported, the authenticity of nodes and messages, and the refusal to deny data once it has been transmitted is detailed. Later, it outlined the requirement of the ITS which makes the survey unique. More importantly, the report on the most recent developments in VANET concentrates on the authentication schemes that have been proposed recently. The security features and authentication resistance against attacks, along with the overhead and efficiency of these schemes, are thoroughly examined and contrasted. A detailed analysis of V2V, V2I, and V2X authentication is been reported. Various cryptographic schemes have been discussed along with some advanced techniques such as Blockchain and hybrid schemes. An overview of the integration of 5G/6G networks is documented. Applications of VANET have been discussed in detail along with some open challenges in VANET. In summary, this work reviews a few lessons learned and explores different possibilities for future research
Effect of organic soil amendments on soil characteristics
No full textOrganic soil amendments such as compost can provide a sustainable alternative to conventional
inorganic fertilizers. However, as different types of vegetables have different nutritional
requirements, it may be possible that different types of compost perform differently for different
vegetables. This study is being performed to assess the effects of cow, sheep, and marine
compost on three types of container-grown vegetables: tomatoes, peppers, and pumpkins.
Twelve of each vegetable have been planted in pots, with four of each vegetable receiving one of
the three types of compost. Various soil quantities (moisture, surface temperature, soil
temperature, and electrical conductivity [EC]) are taken on a regular basis, and the health of the
plants are qualitatively analyzed. The pumpkins and peppers amended with sheep and cow
compost have performed better than those amended with marine compost. The peppers amended
with cow compost have maintained higher soil moisture and EC levels than the others, while
there currently appears to be no significant difference between sheep and cow compost on the
pumpkins’ soil. The soil of the tomatoes amended with marine compost has maintained lower
temperatures and higher moisture and EC values than either of the other two composts, while the
soil amended with cow compost has remained drier than the others. The effectiveness of any of
the composts on the tomatoes’ overall health and fruit has yet to be determined. The completion
of this study may help to ascertain which type of compost to use when growing these vegetables
Possibility of Stabilizing the Greenland Ice Sheet
No full textRecent acceleration in the retreat of the Greenland ice sheet under a warming climate has caused unprecedented challenges and threats to coastal communities due to the rising sea level and increasing storm surges. This raises a critical question from a climate mitigation perspective: Would there still be a chance to stabilize the Greenland ice sheet if the carbon reduction goals of the Paris Agreement could be met? Here, we show that there is indeed a possibility for stabilizing the Greenland ice sheet with the low-emission scenario of RCP2.6. In particular, RCP2.6 would potentially limit the warming in Greenland below 1°C within next 30years and constrain its loss of ice sheet coverage below 10%. After 2050, the annual mean temperature in Greenland is likely to be stabilized and no further loss is expected to its ice sheet. However, the effective window for this chance will be closing after 2020. If no effective carbon reduction policies are being taken now, we are very likely to enter a continuous warming pathway and lose the chance of stabilizing the Greenland ice sheet.Natural Sciences and Engineering Research Council of CanadaAtlantic Canada Opportunities AgencyNanjing Agricultural UniversityACEnet (Canada
Development of smart agriculture application to estimate real time crop water requirements in Prince Edward Island
No full textSmart Agriculture Application (SAA) is an innovative tool used for the agriculture sector to
assist growers in various real time crop water demand services. Currently this application
provides services in four use cases. Firstly, it provides top tier live and accurate weather data
across PEI from locally installed weather stations. These weather station data include
temperature, relative humidity, ambient pressure, windspeed and rainfall. These variables
recorded and added in database base every thirty minutes. The second major use of SAA is the
computation of real time reference evapotranspiration to manage generic crop water demands. In
third case, SAA provides the crop specific water requirement based on several factors such as
growing degree days, crop stage and crop season. Currently this application supports the crop
water requirements of wheat and potato crop, however, various other crops will be added in
future. Another major case of SAA is live feed camera assisting general public to assess the
weather parameters visually.
Currently SAA is under development phase and undergoing from various changes. In future, this
application will provide the accurate crop water requirement forecasts align with rainfall for
sustainable water management across Prince Edward Island farms
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