Stock Price Prediction Using Recurrent Neural Networks

The stock market is generally very unpredictable in nature. There are many factors that might be responsible to determine the price of a particular stock such as the market trend, supply and demand ratio, global economy, public sentiments, sensitive financial information, earning declaration, historical price and many more. These factors explain the challenge of accurate prediction. But, with the help of new technologies like data mining and machine learning, we can analyze big data and develop an accurate prediction model that avoids some human errors. In this work, the closing prices of specific stocks are predicted from sample data using a supervised machine learning algorithm. In particular, a Recurrent Neural Network (RNN) algorithm is used on time-series data of the stocks. The predicted closing prices are cross checked with the true closing price. Finally, it is suggested that this model can be used to make predictions of other volatile financial instruments

Impact of Temperature Increase on Freshwater Fish Species: Energetics and Muscle Mechanics of Two Centrarchids

Fishes have evolved physiologically to live within a specific range of environmental variation and existence outside of that range can be stressful or fatal. These ranges can coincide for fishes that evolved in similar habitats. This study investigates physiological processes limiting thermal tolerance, specifically how changes in water temperature affect the swimming energetics and muscle mechanics in largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus). I focused on the impact of temperature change at the muscle level in these two species and the capacity to adapt to rapid changes in the environment. Fish were housed at 20°C and then tested in a recirculating flow tank 2 body length (BL)/sec at 16°C, 20°C and 22°C while measuring water oxygen consumption as a proxy of metabolism. Fish were fasted for at least 24 hours and acclimatized for 2 hours prior each trial. All temperatures were controlled by chiller and heater. Fish were also implanted with bipolar electrodes to record muscle activity using electromyography (EMG) standard techniques. Mass corrected oxygen consumption was different between fish ran at the three different temperatures. Overall, metabolic rate was higher at higher temperatures. Mass corrected oxygen consumption was influenced not only by temperature but also by both species and species and temperature interactions. Active metabolic rate was higher in largemouth bass than in bluegill at 16°C and 20°C. However, at 22°C bluegill had almost 1 .35- fold higher active metabolic rate. The temperature quotient Q10 is the measure of temperature sensitivity of a biological system and for current study it was calculated from l 6°C to 20°C and 22°C for both species to measure how the physiology is affected by increase in temperature. Calculated Q10 at 2 BL/s was 1 .43 for largemouth bass and 7.3 1 for bluegill (16-22°C). At higher temperatures oxygen consumption increases in fish while oxygen content decreases in water due to a lower saturation pressure, making oxygen a clear limiting factor. This is likely to affect health and growth of individuals, especially when mobility to a lower temperature environment is not possible. While swimming at the same speed (2BL/s), electromyography recordings showed swimming characterized by activation of the musculature. With increased temperature fish start recruiting more red muscles and white muscle by showing greater magnitude and longer duration of muscle activation. Fish are thus capable of changing muscle mechanics to adapt to change in temperature, although bluegill and largemouth bass use distinct strategies. Largemouth bass has less or no activity of axial red muscles at 22°C while bluegill successfully recruit red muscles at all three temperatures. Using more white muscles at higher temperature may lead largemouth bass to an additional demand of oxygen consumption after swimming at higher temperature to maintain functional balance

Impact of socioeconomic status on reproductive behavior among Bangladeshi women

Sexual and reproductive health-related illness is a matter of concern in developing countries like Bangladesh. It mostly affects women because of their unawareness, lack of knowledge, and poor socioeconomic status. In poor communities and developing countries, another important risk factor for death and disability is unsafe sex. Proper family planning and healthy sexual and reproductive life can reduce mortality and morbidity of both children and mothers. Improvements in women’s socioeconomic status can increase awareness and knowledge about sexual and reproductive life and reduce health-related problems and death. Therefore, this study will examine the impact of socioeconomic status (educational attainment, working status, and wealth index) on reproductive behavior (use of condoms, use of pills, and sexual decision-making) among Bangladeshi women. I analyzed data from the 2014 Bangladesh Demographic and Health Survey, a nationally representative survey of ever-married women ages 15–49 years old. I have analyzed data through multivariate logistic analysis. Results show that women’s use of condoms as contraception is significantly associated with their level of education, as higher-educated women are 19.82 times more likely to use condoms than women with no education. The richest women are about 12 times as likely to use condoms as the poorest women. Currently, working women are 19% more ok to refuse sex than women who are not working. The richest women are more than twice as likely to feel it is okay to refuse sex than the poorest women. The results are attenuated but remain significant even when controlling for women’s age, place of residence, and media exposure

Modelling Microbial Pollution in the Lake Clair Watershed within Essex County Using SWAT

A record number of beach closures and warnings during the summer season have drawn region-wide attention because of the importance of beach water quality to the public. Identification and quantification of the pollutant loadings from the local subwatersheds is imperative to improve beach water quality. To understand the contribution of local subwatersheds into the south shore region of Lake St. Clair, a semi-distributed watershed simulation model, the Soil and Water Assessment Tool (SWAT), was employed. The overall goal was to identify impaired subwatersheds for pathogens by determining the major water budget components of subwatersheds, and the model parameters that control the fate and transport of Escherichia coli (E. coli). Agricultural management, crop rotation and tile drainage parameters were incorporated to obtain accurate water balance. Sensitivity analysis was performed for both flow and E. coli. This research was the first attempt to perform a water budget analysis and to simulate E. coli with SWAT for the Lake St. Clair watershed located within the Essex region. For the daily hydrologic calibration process, the model performance provided a “good” prediction of watershed (Nash-Sutcliffe Efficiency [E]\u3e0.6). Monthly calibration and validation of the pathogen fate and transport model was conducted for E. coli at five sampling locations, and the calibration results indicate a “good” prediction for E. coli (E = 0.74) while at the downstream calibration locations the results compared well with many similar E. coli modelling studies (0.13 \u3c E \u3c 0.46). The livestock manure from feedlots was identified as the major non-point source pollutant to local subwatersheds of the Lake St. Clair region, contributing the most (\u3e55%) to the total E. coli concentrations. This research has mapped critical source areas from a microbial loading point of view where best management practices can be implemented

Cyclone Aila and the Southwestern Coastal Zone of Bangladesh: In the Context of Vulnerability

Bangladesh is located in a danger area of the World. The geographical location makes the country vulnerable for tropical cyclones and other hazards. An increasing number of natural disasters such as floods, storms, and tropical cyclones, always keep the coastal people in a worst condition. Bangladesh government is not always fully successful in recovering the situation and gives a sustainable livelihood to the coastal people. Therefore, the suffering of the coastal people is continued for longer period. There are so many reasons behind this. This thesis is tries to demonstrate these reasons. Figure out the vulnerability of the southwestern coastal people and also investigate that till now why the people cannot get rid from this worst situation is the key purpose of this thesis. This thesis paper will gives a brief overview on the relief and reconstruction work after the cyclone Aila hit the southwestern coastal region of the country in 2009. The analysis recommends that the untimely strike of the cyclone Aila, lack of ready fund for emergency, and governance are the main reasons for the delay in the reconstruction work. This thesis paper is concluded by giving some suggestions such as, emergency relief facility, evaluating the necessary support not based on the scale of the disasters and the death toll but also on the local reality of primary, as well as possible secondary impacts

Impact of Temperature Increase on Freshwater Fish Species: Energetics and Muscle Mechanics of Two Centrarchids

Fishes have evolved physiologically to live within a specific range of environmental variation and existence outside of that range can be stressful or fatal. These ranges can coincide for fishes that evolved in similar habitats. This study investigates physiological processes limiting thermal tolerance, specifically how changes in water temperature affect the swimming energetics and muscle mechanics in largemouth bass (Micropterus salmoides) and bluegill (Lepomis macrochirus). I focused on the impact of temperature change at the muscle level in these two species and the capacity to adapt to rapid changes in the environment. Fish were housed at 20°C and then tested in a recirculating flow tank 2 body length (BL)/sec at 16°C, 20°C and 22°C while measuring water oxygen consumption as a proxy of metabolism. Fish were fasted for at least 24 hours and acclimatized for 2 hours prior each trial. All temperatures were controlled by chiller and heater. Fish were also implanted with bipolar electrodes to record muscle activity using electromyography (EMG) standard techniques. Mass corrected oxygen consumption was different between fish ran at the three different temperatures. Overall, metabolic rate was higher at higher temperatures. Mass corrected oxygen consumption was influenced not only by temperature but also by both species and species and temperature interactions. Active metabolic rate was higher in largemouth bass than in bluegill at 16°C and 20°C. However, at 22°C bluegill had almost 1 .35- fold higher active metabolic rate. The temperature quotient Q10 is the measure of temperature sensitivity of a biological system and for current study it was calculated from l 6°C to 20°C and 22°C for both species to measure how the physiology is affected by increase in temperature. Calculated Q10 at 2 BL/s was 1 .43 for largemouth bass and 7.3 1 for bluegill (16-22°C). At higher temperatures oxygen consumption increases in fish while oxygen content decreases in water due to a lower saturation pressure, making oxygen a clear limiting factor. This is likely to affect health and growth of individuals, especially when mobility to a lower temperature environment is not possible. While swimming at the same speed (2BL/s), electromyography recordings showed swimming characterized by activation of the musculature. With increased temperature fish start recruiting more red muscles and white muscle by showing greater magnitude and longer duration of muscle activation. Fish are thus capable of changing muscle mechanics to adapt to change in temperature, although bluegill and largemouth bass use distinct strategies. Largemouth bass has less or no activity of axial red muscles at 22°C while bluegill successfully recruit red muscles at all three temperatures. Using more white muscles at higher temperature may lead largemouth bass to an additional demand of oxygen consumption after swimming at higher temperature to maintain functional balance

Mapping Landcover Change and Population Displacement of Lakshmipur District, Bangladesh due to Riverbank Erosion From 2001-2021: A Geospatial Approach

Due to the geographical setting, the Lakshmipur district of Bangladesh experiences adverse effects of global climate change that include but are not limited to natural disasters such as tropical cyclones, storm surges, coastal flooding, and riverbank erosion. While riverbank erosion is an implicit impact of climate change, it directly affects human settlements, agricultural activity, and the overall livelihoods of people in this area. Examining the spatiotemporal changes in land cover and population due to riverbank erosion in this region could help us better understand the dynamics of human-environmental relations. This study aimed to classify land cover for every five years from 2001-2021, examine land cover changes in this area from 2001-2021, map populations in Lakshmipur district for every five years from 2001-2021, and estimate population displacement due to riverbank erosion every five years from 2001-2021. Landsat 5 TM 30 m satellite Imagery from 2001-2011 and Landsat 8 OLI 30 m resolution Imagery from 2016-2021 were used to classify landcover and observed landcover changes from 2001-2021. We classified Imagery using the smile random forest classifier in Google Earth Engine and calculated landcover change using the Change Detection Wizard in ArcGIS Pro 3.0. The overall classification accuracies range between 79.04% to 87 %. Our landcover change result suggests that from 2001-2021 fallow land/agricultural land has lost the largest area of land, 341.81 sq km, to homestead forest and waterbody among all the classes. To map populations vector and raster-based dasymetric mapping approaches were used. The vector and raster-based binary dasymetric mapping and population displacement calculation were carried out in ArcGIS Pro 3.0. The findings suggest that the lowest number of population displacements (1844 people using vector-based approach and 5241 raster-based approach) happened from 2001-2006, and the highest number (86107 people using vector-based approach, 63453 using raster-based approach) were displaced between 2016-2021. INDEX WORDS: Landcover Change, Population Mapping, Google Earth Engine, Riverbank Erosion, Dasymetric mapping, Population displacement, Lakshmipur District, Bangladesh

Analysis of New Multi Cellular Vortex Model

A complete theoretical description of multi-celled vortices is complex. Nevertheless, a simplified approach like the one presented in this thesis can provide the most fundamental characteristics satisfactorily. In this model all velocity distributions are bounded. The solution is obtained using MATLAB and Maple 14 code. The main goal is to develop a numerical technique that will provide good fits to a variety of actual vortices of different types. The simulated results correlate well actual data of some naturally and experimentally occurring vortices. Two-celled vortices developed in the intakes of gas turbine engines operating near the ground, wing-tips, tornadoes and vortices generated under a liquid-air interfacial wave by wind action are examined here. The correlations provided in this thesis are biased towards two-cell vortices because a fair number of actual data for the velocity are readily available in the scientific literature. In addition, a simulated four-cell vortex model also described