Planar electromagnetic sensor based estimation of nitrate contamination in water sources using independent component analysis

The main advantages of electromagnetic sensors can be listed as low-cost, convenient, suitable for in-situ measurement system, rapid response, and high durability. In this paper, the output parameters of the planar electromagnetic sensor have been observed with different kind of water samples at different concentrations. The output parameters have been derived and tested to be incorporated with independent component analysis (ICA) and used as inputs for an analysis model. The analysis model targeted to estimate the amount of nitrate contamination in water samples with the assistance of ICA based on FastICA fixed point algorithm under the contrast functions of pow3, tanh, gauss, and skew. Nitrates sample in the form of ammonium nitrates (NH 4NO 3), each of different concentration between 5 mg and 20 mg dissolved in 1 litre of deionized water (Milli-Q) was used as one of the main references. The analysis model was tested with eight sets of mixed NH 4NO 3 and (NH 4) 2HPO 4 water samples. It is seen from the results that the model can acceptably detect the presence of nitrate added in Milli-Q water and capable of distinguishing the concentration level in the presence of other type of contamination. The system and approach presented in this paper has the potential to be used as a useful low-cost tool for water sources monitoring

Optimal Fuzzy Model Construction with Statistical Information using Genetic Algorithm

Fuzzy rule based models have a capability to approximate any continuous function to any degree of accuracy on a compact domain. The majority of FLC design process relies on heuristic knowledge of experience operators. In order to make the design process automatic we present a genetic approach to learn fuzzy rules as well as membership function parameters. Moreover, several statistical information criteria such as the Akaike information criterion (AIC), the Bhansali-Downham information criterion (BDIC), and the Schwarz-Rissanen information criterion (SRIC) are used to construct optimal fuzzy models by reducing fuzzy rules. A genetic scheme is used to design Takagi-Sugeno-Kang (TSK) model for identification of the antecedent rule parameters and the identification of the consequent parameters. Computer simulations are presented confirming the performance of the constructed fuzzy logic controller

Prediction and Observation of Pore Pressure Due to Pile Driving

In this study, pore pressure response due to pile driving has been observed in the field. Cavity Expansion theory using critical state parameters of the soil has been used to predict the trend of the pore pressure development and dissipation. Parametric study has been carried out to know the sensitivity of various parameters on the predicted results. A comparison has been made between the predicted and observed results

Non-ST Elevation MI as a Unique Presentation of Angioimmunoblastic T-cell Lymphoma

Case A 61-year-old Chinese female with a history of hypertension, hyperlipidemia, asthma, and gastroesophageal reflux disease presented with four days of chest pressure that radiated to her left arm and jaw. On exam, her vital signs were within normal limits and cardiac and pulmonary exams were unremarkable. Her initial electrocardiogram (ECG) demonstrated ischemic ST segment depressions in leads II, III, and aVF; her first troponin I was elevated at 2.3 ng/mL (normal \u3c0.05 ng/mL) and peaked at 6.8 ng/mL. She was given sublingual nitroglycerin and metoprolol, which controlled her symptoms, and she was started on a heparin infusion to prevent further ischemia. The patient’s medications included: amlodipine was notable for the following daily medications: amlodipine 5 mg, olmesartan 20mg, atorvastatin 20mg, esomeprazole 20mg, montelukast 10mg, and mometasone 110mcg twice daily. Her family history was significant for a brother who had a coronary stent placed at age 57. She denied drug, tobacco, or alcohol use. She was non-English speaking, and immigrated to the United States from China five years ago

Impact of Foreign Direct Investment on Economic Growth of China after Economic Reform

After the reformation and open-door policy, the economic and financial expansion of China has been faster than before. This study examines the impact of FDI on economic growth in China empirically. The paper uses time-series data over a period spanning from 1982 – 2019. From the results, FDI and trade have a positive impact on the GDP growth rate. The effects of each of the endogenous variables are examined via the Vector Error Correction Model (VECM). The study shows that there exist long-run associations between the FDI and the growth of GDP in China and short-run causality is found between them Research paper Keywords: FDI; Economic Growth; VECM Model; Economic Reform Reference to this paper should be made as follows: Majumder, S. H., & Rahman, M. H. (2020). Impact of Foreign Direct Investment on Economic Growth of China after Economic Reform, Journal of Entrepreneurship, Business and Economics, 8(2), 120–153.      &nbsp

Impact of Foreign Direct Investment on Economic Growth of China after Economic Reform

After the reformation and open-door policy, the economic and financial expansion of China has been faster than before. This study examines the impact of FDI on economic growth in China empirically. The paper uses time-series data over a period spanning from 1982 – 2019. From the results, FDI and trade have a positive impact on the GDP growth rate. The effects of each of the endogenous variables are examined via the Vector Error Correction Model (VECM). The study shows that there exist long-run associations between the FDI and the growth of GDP in China and short-run causality is found between them Research paper Keywords: FDI; Economic Growth; VECM Model; Economic Reform Reference to this paper should be made as follows: Majumder, S. H., & Rahman, M. H. (2020). Impact of Foreign Direct Investment on Economic Growth of China after Economic Reform, Journal of Entrepreneurship, Business and Economics, 8(2), 120–153.      &nbsp