Genetic variation of Parapenaeopsis sculptilis (Decapoda, Penaeidae) and reassessment of the phylogenetic relationships within the genus Parapenaeopsis based on mitochondrial DNA variation

The genus Parapenaeopsis is an important group of marine shrimps for wild capture in the Indo-West Pacific region. Phylogenetics of penaeid shrimps is still a debatable issue. This study focuses on the phylogenetic relationships among seven species within the genus Parapenaeupsis, the population genetic variation of Parapenaeupsis sculptilis along Bangladesh coastline of the Bay of Bengal and the phylogeography of P. sculptilis in the Indian Ocean region by analysing cytochrome oxidase subunit 1 barcode (CO1) sequence. No population structure was detected in P. sculptilis collected from two sampling sites along the Bangladesh coastline (AMOVA and Φ ST = ‑0.014, p > 0.05; F ST = 0.061, p = 0.04), which expanded first around 73 (CI: 36‑119) kyr ago. The genealogical relationships in Bangladesh P. sculptilis population are shallow with haplotype diversity (h) of 0.58 and nucleotide diversity (π) of 0.0014. The different P. sculptilis samples from Bangladesh, India and Mozambique of the Indian Ocean revealed connectivity between western Indian Ocean and the Bay of Bengal. The phylogeny within the genus Parapenaeupsis showed a polyphyletic relationships for P. hardickwii and its taxonomy needs to be reevaluated. The study will help for genetic upgradation in aquaculture and monitoring of the population genetic diversity of P. sculptilis

Proceedings of the 23rd annual Central Plains irrigation conference

Presented at Proceedings of the 23rd annual Central Plains irrigation conference held in Burlington, Colorado on February 22-23, 2011.Includes bibliographical references

Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks

This paper investigates the potential of semi-supervised Generative Adversarial Networks (GANs) to fine-tune pretrained language models in order to classify Bengali fake reviews from real reviews with a few annotated data. With the rise of social media and e-commerce, the ability to detect fake or deceptive reviews is becoming increasingly important in order to protect consumers from being misled by false information. Any machine learning model will have trouble identifying a fake review, especially for a low resource language like Bengali. We have demonstrated that the proposed semi-supervised GAN-LM architecture (generative adversarial network on top of a pretrained language model) is a viable solution in classifying Bengali fake reviews as the experimental results suggest that even with only 1024 annotated samples, BanglaBERT with semi-supervised GAN (SSGAN) achieved an accuracy of 83.59% and a f1-score of 84.89% outperforming other pretrained language models - BanglaBERT generator, Bangla BERT Base and Bangla-Electra by almost 3%, 4% and 10% respectively in terms of accuracy. The experiments were conducted on a manually labeled food review dataset consisting of total 6014 real and fake reviews collected from various social media groups. Researchers that are experiencing difficulty recognizing not just fake reviews but other classification issues owing to a lack of labeled data may find a solution in our proposed methodology

Ethnopharmacological Survey of Medicinal Plants Used by Traditional Healers and Indigenous People in Chittagong Hill Tracts, Bangladesh, for the Treatment of Snakebite

Snakebites are common in tropical countries like Bangladesh where most snakebite victims dwell in rural areas. Among the management options after snakebite in Bangladesh, snake charmers (Ozha in Bengali language) are the first contact following a snakebite for more than 80% of the victims and they are treated mostly with the help of some medicinal plants. Our aim of the study is to compile plants used for the treatment of snakebite occurrence in Bangladesh. The field survey was carried out in a period of almost 3 years. Fieldwork was undertaken in Chittagong Hill Tracts, Bangladesh, including Chittagong, Rangamati, Bandarban, and Khagrachari. Open-ended and semistructured questionnaire was used to interview a total of 110 people including traditional healers and local people. A total of 116 plant species of 48 families were listed. Leaves were the most cited plant part used against snake venom. Most of the reported species were herb in nature and paste mostly used externally is the mode of preparation. The survey represents the preliminary information of certain medicinal plants having neutralizing effects against snake venoms, though further phytochemical investigation, validation, and clinical trials should be conducted before using these plants as an alternative to popular antivenom

Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction

The unpredictability and volatility of the stock market render it challenging to make a substantial profit using any generalized scheme. This paper intends to discuss our machine learning model, which can make a significant amount of profit in the US stock market by performing live trading in the Quantopian platform while using resources free of cost. Our top approach was to use ensemble learning with four classifiers: Gaussian Naive Bayes, Decision Tree, Logistic Regression with L1 regularization and Stochastic Gradient Descent, to decide whether to go long or short on a particular stock. Our best model performed daily trade between July 2011 and January 2019, generating 54.35% profit. Finally, our work showcased that mixtures of weighted classifiers perform better than any individual predictor about making trading decisions in the stock market

Analysis of a multi-megawatt grid connected wind farm

Paper presented at the 8th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Mauritius, 11-13 July, 2011.No abstract available, please open full text articlemp201

STUDY OF PROBIOTICS ON THE SEED PRODUCTION OF BLACK TIGER SHRIMP Penaeus monodon

Currently, antibiotics are widely used in shrimp hatcheries to control bacterial infections. Appearance of antibiotic resistant pathogens and restriction on the use of antibiotics have led to the development of alternatives to antibiotics in hatchery systems. In light of this, an attempt was undertaken to investigate the effects of probiotics on the larval rearing of Penaeus monodon, compared with control tanks (without probiotics). The results showed that several issues significantly improved with administering probiotics in the experimental tanks compared with the tanks without probiotics. For example, the concentration of ammonia was estimated to be 1.25 mg/L that was less than half of what was measured in the control tanks. The size variation was observed more in the control tanks than in the experimental tanks. Moreover, the muscle gut ratio of PL15 was about 85 to 92% in the probiotic treated tank and 70 to 80% in the control tank during the eight cycles of production. The fouling organisms were more in the control tank compared to the experimental tanks. The average length of PL15 was maximum when reared in the experimental tanks compared to the control tanks. The final survival rate of PL15 from the control and experimental tank was 35 and 52%, respectively. The present investigation indicated that probiotics played an important role in the growth, survival and health status of P. monodon larvae

Extraction of the inherent nature of wind speed using wavelets and FFT

Due to technological advancement, availability of multi-megawatt wind turbines, ease of installation and maintenance, economic compatibility and commercial acceptance, wind power is being used globally for both grid-connected and off-grid applications. The wind power is intermittently available due to the fluctuating nature of the wind and hence needs to be understood well. Its variability was studied in this paper both in time and spatial domain. The present work utilized daily mean values of wind speed from different meteorological stations spread over the Kingdom of Saudi Arabia in conjunction with wavelet transform and fast Fourier transform power spectrum techniques to understand the dynamic nature of the wind at nine stations. The study found that wind speed changed by ± 0.6 to ± 1.6 knots over a long period of about 10 years depending on the locations. The long-term mean wind speed of 5.6, 8.9, 6.25, 8.1, 6.0, 7.1, 6.0, 8.6 and 7.3 knots was obtained at Abha, Dhahran, Gizan, Guriat, Hail, Jeddah, Riyadh, Turaif and Yanbu, respectively.Research Institute of King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.http://www.journals.elsevier.com/energy-for-sustainable-development/hb2014ai201

Feasibility study of a wind-pv-diesel hybrid power system for a village

A wind-pv-diesel hybrid power system has been designed for a village in Saudi Arabia which is presently powered by a diesel power plant consisting of eight diesel generating sets of 1,120kW each. The study found a wind-pv-diesel hybrid power system with 35% renewable energy penetration (26% wind and 9% solar PV) to be the feasible system with cost of energy of 0.212US$/kWh. The proposed system was comprised of 3 wind turbines each of 600kW, 1000kW of PV panels, and four diesel generating sets each of 1120kW rated power. The system was able to meet the energy requirements (AC primary load of 17,043.4MWh/y) of the village with 4.1% energy in excess. The annual contributions of wind, solar pv and the diesel generating sets were 4,713.7, 1,653.5, and 11,542.6MWh, respectively. The proposed hybrid power system resulted in avoiding addition of 4,976.8 tons of GHG equivalent of CO2 gas in to the local atmosphere of the village and conservation of 10,824 barrels of fossil fuel annually.The Research Institute of King Fahd University of Petroleum and Mineralshttp://www.elsevier.com/locate/reneneai201

Review of 600kw to 2500kw sized wind turbines and optimization of hub height for maximum wind energy yield realization

The percent increase in energy production with corresponding increase in hub-height for wind energy conversion system (WECS) from different manufacturers was compared in this study. It was seen that an increase of 10m in hub-height from 40 to 50m resulted in an increase of 3.17% in energy production for wind turbines from Nordex, while a change of 3.48% from Vestas, and so on. The overall mean increase in energy production was found to be 2.92% while changing the hub-height from 40 to 50 m. Further increase of 10m in hub-height from 50 to 60 m, showed an increase of 7.55%, 7.90%, 7.88%, 8.25%, 8.14% and 7.75% for WECS from Nordex, Vestas, DeWind, GE, Bonus and Enercon respectively. The overall mean increase in energy production was found to be 7.91% for this change of hub-height from 50 to 60 m. Similarly, an increase of 3.02% in energy production was obtained for an additional of 10m increase in hub-height i.e. from 70 to 80 m. On the average the maximum increase in energy production of 7.91% was obtained while changing hub-height from 50 to 60 m.http://www.elsevier.com/locate/rserai201