Physical Sciences and Mathematics Commons^™

Interactions Between Densely Grafted Molten Polymer Brushes:Scaling Theories Versus Molecular Simulations, Aykut Erbaş

Turkish Journal of Physics

Using molecular dynamics simulations and scaling arguments, we analyzed the interactions between two identical molten polymer brushes intermediately and strongly compressed towards each other at melt conditions. The width of the overlap region, in which monomers of the linear chains composing the two brushes interact, increases as the polymer-grafted surfaces are brought closer. If two-brush coated surfaces are as close as the characteristics size of the grafted chains, the overlap region is directly controlled by intersurface distance. At intermediate compression, the width of the overlap region scales with the end-to-end size of chain sections within the overlap region. This result …

Dictyoconus Aydimi (Gallardo-Garcia And Serra-Kiel, 2016) Comb. Nov., Larger Benthicforaminifera From The Middle-Upper Eocene Of The Middle East (Se Turkey, Iraq, Swiran, Oman): New Evidence For Arabian Plate Faunal Provincialism, Nazi̇re Özgen Erdem, Felix Schlagintweit, Derya Si̇nanoğlu

Turkish Journal of Earth Sciences

Rogerella aydimi Gallardo-Garcia and Serra-Kiel was described from the Priabonian Haluf Member of the Aydim Formation, Oman. Based on new finds from the Bartonian Hoya Formation of SE Turkey and the Jahrum Formation of Iran, its taxonomic status is discussed herein. It is concluded that it represents a species of Dictyoconus with a simple subepidermal network (1 rafter, 1 intercalary beam) below a thin epiderm. The stratigraphic range of D. aydimi known thus far is Bartonian-Priabonian or Shallow Benthic Zone 17- 20. The distribution of D. aydimi gives further evidence for a Middle-Late Eocene faunal provincialism of the Arabian Plate …

A Numerical Approach To Verify The Reservoir Temperature Of The Afyon Geothermal Fields, Turkey, Özgür Karaoğlu

Turkish Journal of Earth Sciences

Geothermal energy constitutes an important renewable resource in Turkey that has been extensively utilized for heating buildings, power generation, greenhouse farming and various other industries. One of the most remarkable geothermal locations in Turkey is the low-enthalpy area of Afyon, where five main low-temperature (30-110 °C) geothermal fields are exploited. However, further exploration drilling sites have proven inconclusive, casting doubts on the effective presence of high-temperature geothermal systems in the region. Part of the challenge is that the geometry, size and depth of the heat source of the geothermal system is poorly constrained. It is documented that the Afyon region …

Interpretation Of Magnetic Data Using Boundary Analysis And Inversion Techniques: A Case Study From Gölcük/Isparta (Turkey) Region, Coşkun Sari, Emre Ti̇mur

Turkish Journal of Earth Sciences

The Gölcük (Isparta) is on the southern side of the city of Isparta in the Mediterranean region of Turkey. The investigation of magnetic field strength variations over subterranean layers may reveal their locations on Earth?s surface and provide physical and geometrical characteristics. Magnetic studies were carried out around Gölcük caldera lake using proton magnetometers to identify subsurface volcanic structures. The acquired data were inverted using four different edge detection algorithms such as analytic signal, tilt angle, theta map, horizontal gradient. Afterwards, the results were used to determine the locations of the anomalous structures. We also used pseudo-gravity and reduction-to-pole techniques …

Updated Historical Earthquake Catalog Of İzmir Region (Western Anatolia) And Itsimportance For The Determination Of Seismogenic Source, Çi̇ğdem Tepe, Hasan Sözbi̇li̇r, Semi̇h Eski̇, Ökmen Sümer, Çağlar Özkaymak

Turkish Journal of Earth Sciences

Although destructive earthquakes have not occurred in the instrumental period except for the 30 October 2020 Samos earthquake (Mw = 6.6), the records show that there were significant earthquakes that caused great destruction in İzmir and its surroundings in the historical period. However, it is not yet clear which faults are causative for these earthquakes affecting İzmir and its surroundings. For this purpose, it has been attempted to determine new geological, seismological and environmental data by examining a large number of original sources, records and old international earthquake catalogs, other than the existing national catalogs used in seismicity studies in …

Geothermal Reservoir Rocks Of The Büyük Menderes Graben (Turkey): Stratigraphiccorrelation By A Multiproxy Approach, Dorothee Siefert, Markus Wolfgramm, Thomas Koelbel, Johannes Glodny, Jochen Kolb, Elisabeth Eiche

Turkish Journal of Earth Sciences

This paper focuses on the correlation of two different marble units from an approximately 3,900 m deep geothermal exploration well (GP-1) in western Turkey by petrographical and geochemical data. Future geothermal exploration drilling in that area will benefit from a better (tectono) stratigraphic correlation and a better definition of the reservoir geometry in the basin. It is an innovative approximation in many settings to correctly correlate marble units without clear stratigraphic markers or fossil record, in particular, when sample material is restricted to cuttings. The most distinctive petrographical and geochemical properties in this study are colour, light transmission along with …

Structural Controls And Hydrogeochemical Properties Of Geothermal Fields In The Vartoregion, East Anatolia, Taygun Uzelli̇, Mehmet Furkan Şener, İskender Dölek, Alper Baba, Hasan Sözbi̇li̇r, Ramazan Kadi̇r Di̇ri̇k

Turkish Journal of Earth Sciences

Varto and the surrounding region have important geothermal fields, developing in strike-slip tectonic setting in East Anatolia, which resulted from the collision of the Arabian and Eurasian plates. The main structural elements in the area are the NE-trending sinistral and NW-trending dextral strike-slip fault segments and N-S trending extension zones. In order to determine fault-controlled geothermal circulation, it is very important to fully characterize the structural elements in these complex environments. The widely distributed volcanic rocks have fracture and crack systems that play an important role in surface infiltration, geothermal fluid, and groundwater circulation. Especially in areas where the fault …

Playing Pong Using Q-Learning, Akash Kumar

West Chester University Master’s Theses

This thesis involves the use of a reinforcement learning algorithm (RL) called Q-learning to train a Q-agent to play a game of Pong against a near-perfect opponent. Compared to previously related work which trained Pong RL agents by combining Q-learning with deep learning in an algorithm known as Deep Q-Networks, the work presented in this paper takes advantage of known environment constraints of the custom-made Pong environment to train the agent using one-step Q-learning alone. In addition, the thesis explores ways of making the Q-learning more efficient by converting Markov Decision Processes (MDPs) to Partially Observable Markov Decision Processes (POMDPs), …

Construction And Analysis Of Genetic Regulatory Networks With Rna-Seq Data From Arabidopsis Thaliana, Tessa Kriz

Dissertations, Master's Theses and Master's Reports

Reconstruction of gene regulatory networks (GRNs) is a fundamental aspect of genetic engineering and provides a deeper understanding of the biological processes of an organism. Two methods were implemented to reconstruct the gene regulatory networks of Arabidopsis thaliana under two treatments: methyl jasmonate (MeJa) and salicylic acid (SA). The Joint Reconstruction of multiple Gene Regulatory Networks (JRmGRN) method was utilized to construct a joint network for identifying hub genes common to both conditions in addition to networks specific to each condition. The Differential Network Analysis with False Discover Rate Control method constructed a network of connections unique to only one …

Advancement Of Full-Vector Variable-Temperature Magnetometry For Rock-Magnetic And Paleointensity Applications, Leonid Surovitskii

Dissertations, Master's Theses and Master's Reports

Data on the variation of the direction and strength of Earth’s ancient magnetic field (absolute paleointensity) provide crucial information into the mechanisms of the geodynamo and the Earth’s thermal history. However, the use of conventional methods and instrumentation for absolute paleointensity determination has been hampered by physicochemical alteration of the samples caused by multiple high-temperature cycles and long experiment durations. The reliability and efficiency of the measurement process can be improved by the measurement of the full remanent magnetization vector simultaneously with the temperature cycling of a sample. Such as approach can also substantially expand the scope of materials available …

Physicochemical Properties Of Atmospheric Aerosols And Their Effect On Ice Cloud Formation, Nurun Nahar Lata

Dissertations, Master's Theses and Master's Reports

Atmospheric aerosols play a vital role in the Earth's energy budget-directly by scattering and absorbing solar radiation and indirectly by acting as cloud condensation nuclei and ice-nucleating particles [1, 2]. The cloud formation potential of aerosol is driven by multiple factors, including surface properties, size distribution, composition, mixing state, phase state, and morphology [3]. The interaction of aerosols with clouds alters the aerosol's physicochemical properties. Those properties can also evolve during transport due to atmospheric processing, in turn, affect the aerosol's ice nucleation and cloud formation activities. This thesis presents experimental studies to understand the role of physicochemical properties of …

Predicting The Impacts Of Climate Change On The Great Lakes Water Levels Using A Fully Coupled 3d Regional Modeling System, Miraj Kayastha

Dissertations, Master's Theses and Master's Reports

The Great Lakes of North America are the largest surface freshwater system in the world and many ecosystems, industries, and coastal processes are sensitive to the changes in their water levels. The recent changes in the Great Lakes climate and water levels have particularly highlighted the importance of water level prediction. The water levels of the Great Lakes are primarily governed by the net basin supplies (NBS) of each lake which are the sum of over-lake precipitation and basin runoff minus lake evaporation. Recent studies have utilized Regional Climate Models (RCMs) with a fully coupled one-dimensional (1D) lake model to …

Modeling And Parametric Study Of Dielectric Barrier Discharge In Pure Nitrogenat Atmospheric Pressure, Mohammed Habib Allah Lahouel, Djilali Benyoucef, Hocine Tebani

Turkish Journal of Physics

This paper presents the one-dimensional simulation of the dielectric barrier discharge (DBD) in pure nitrogen at atmospheric pressure using a sinusoidal supply, within a reactor which consists of two parallel plates. For this purpose, significant reactions among the reactive species in the discharge are taken into account in this work by considering more than 70 reactions for 13 species. The model used in this study to describe the kinetics of the plasma species is the second order fluid model which consists in replacing the Boltzmann equation by these first three moments by using the drift-diffusion approximation for flux. In order …

Quasinormal Modes Of Charged Fermions In Linear Dilaton Black Hole Spacetime:Exact Frequencies, İzzet Sakalli, Gülni̇hal Tokgöz Hyusein

Turkish Journal of Physics

: We study charged massless fermionic perturbations in the background of 4-dimensional linear dilaton black holes in Einstein-Maxwell-dilaton theory with double Liouville-type potentials. We present the analytical fermionic quasinormal modes, whose Dirac equations are solved in terms of hypergeometric functions. We also discuss the stability of these black holes under the charged fermionic perturbations.

Combination Of Facebook Prophet And Attention-Based Lstm With Multi- Source Data For Indian Stock Market Prediction, Pavan Nagesh

Dissertations

The stock market prediction has been the subject of interest to various researchers and analysts due to its highly unpredictable nature and serves as a perfect example for time series forecasting. Over the years deep learning models such as Long-Term Short-Term Memory and statistical models such as Autoregressive Integrated Moving Average have shown promising results in predicting future stock prices. But the results from these models cannot be generalized as they fail to incorporate the dynamics of the market and influence of several external factors such as political, social, investor's emotion, etc on stock markets. Recently Facebook’s creation of the …

Feature Augmentation For Improved Topic Modeling Of Youtube Lecture Videos Using Latent Dirichlet Allocation, Nakul Srikumar

Dissertations

Application of Topic Models in text mining of educational data and more specifically, the text data obtained from lecture videos, is an area of research which is largely unexplored yet holds great potential. This work seeks to find empirical evidence for an improvement in Topic Modeling by pre- extracting bigram tokens and adding them as additional features in the Latent Dirichlet Allocation (LDA) algorithm, a widely-recognized topic modeling technique. The dataset considered for analysis is a collection of transcripts of video lectures on Machine Learning scraped from YouTube. Using the cosine similarity distance measure as a metric, the experiment showed …

Performance Comparison Between A Distributed Particle Swarm Algorithm And A Centralised Algorithm, Ciarán O’Loughlin

Dissertations

Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an innovative intelligent paradigm for solving optimization problems. PSO is generally used to find a global optimum in a single optimisation function. This typically occurs on one node(machine) but there has been a significant body of research into creating distributed implementations of the PSO algorithm. Such research has often focused on the creation and performance of the distributed implementation in an isolated manner or compared to different distributed algorithms.

This research piece aims to bridge a gap in the existing literature, by testing a distributed implementation …

A Hybrid Neural Network For Stock Price Direction Forecasting, Daniel Devine

Dissertations

The volatility of stock markets makes them notoriously difficult to predict and is the reason that many investors sell out at the wrong time. Contrary to the efficient market hypothesis (EMH) and the random walk theory, contribution to the study of machine learning models for stock price forecasting has shown evidence of stock markets predictability with varying degrees of success. Contemporary approaches have sought to use a hybrid of convolutional neural network (CNN) for its feature extraction capabilities and long short-term memory (LSTM) neural network for its time series prediction. This comparative study aims to determine the predictability of stock …

Human Age And Gender Classification Using Convolutional Neural Networks, Eamon Kelliher

Dissertations

In a world relying ever more on human classification, this papers aims to improve on age and gender image classification through the use of Convolutional Neural Networks (CNN). Age and gender classification has become a popular area of study in the past number of years however there are still improvements to be made, particularly in the area of age classification. This research paper aims to test the currently accepted fact that CNN models are the superior model type for image classification by comparing CNN performance against Support Vector Machine performance on the same dataset. Using the Adience image classification dataset, …

Identifying Significant Features For Player Evaluation In Nfl Comparing Anns And Traditional Models, Ronan Walsh

Dissertations

The evaluation of player performance in sports is popular and important in modern sports, enabling teams to use real data in the construction of their rosters. This dissertation proposes to apply machine learning algorithms to predicting the player evaluations from a leading NFL analytics company who use a combination of statistics and expert evaluation. In addition, it will investigate what features are significant in the evaluation of a position. Data for the dissertation is obtained from multiple online sources - Pro Football Reference and Pro Football Focus (the the NFL analytics company). These data sets are combined and analysed before …

Evaluating The Performance Of Transformer Architecture Over Attention Architecture On Image Captioning, Deepti Balasubramaniam

Dissertations

Over the last few decades computer vision and Natural Language processing has shown tremendous improvement in different tasks such as image captioning, video captioning, machine translation etc using deep learning models. However, there were not much researches related to image captioning based on transformers and how it outperforms other models that were implemented for image captioning. In this study will be designing a simple encoder-decoder model, attention model and transformer model for image captioning using Flickr8K dataset where will be discussing about the hyperparameters of the model, type of pre-trained model used and how long the model has been trained. …

Finetuning Bert And Xlnet For Sentiment Analysis Of Stock Market Tweets Using Mixout And Dropout Regularization, Shubham Jangir

Dissertations

Sentiment analysis is also known as Opinion mining or emotional mining which aims to identify the way in which sentiments are expressed in text and written data. Sentiment analysis combines different study areas such as Natural Language Processing (NLP), Data Mining, and Text Mining, and is quickly becoming a key concern for businesses and organizations, especially as online commerce data is being used for analysis. Twitter is also becoming a popular microblogging and social networking platform today for information among people as they contribute their opinions, thoughts, and attitudes on social media platforms over the years. Because of the large …

Annual Summary Of Weather Data For Parsons - 2020, M. Knapp

Kansas Agricultural Experiment Station Research Reports

This report includes the annual summary of precipitation and temperatures from 2020 at the research locations represented in the 2020 Southeast Research and Extension Center Agricultural Research Report.

Kansas Soil Health Partnership, C. B. Pires, I. A. Ciampitti, D. A. Ruiz Diaz, M. V. Sarto, Charles Rice

Kansas Agricultural Experiment Station Research Reports

This study was part of a farmer-led initiative that fosters transformation in agriculture through improved soil health, benefitting farmer profitability, supporting a stable food supply, and preserving the environment. This study’s objective was to measure the effect of soil management strategies on the soil microbial community distribution and activity. Four farmers in Kansas were accepted into the program to conduct on-farm comparisons of a standard farm practice and an improved practice. This was ongoing research, and for this field research report, we are presenting the study at one of the selected farms. This site was located near Bucyrus, Miami County …

Weather Information For Garden City, 2020, J. Elliott

Kansas Agricultural Experiment Station Research Reports

Summary of 2020 weather for research conducted at the Garden City Kansas Agricultural Experiment Station field location.

Precipitation Data, M. Knapp

Kansas Agricultural Experiment Station Research Reports

Precipitation data for Kansas Agricultural Experiment Stations and fields, 2019-2020.

High-Resolution Molecular Characterization Of Complex Environmental Mixtures: Aquatic Dissolved Organic Matter And Wildfire-Influenced Aerosol, Amna Ijaz

Dissertations, Master's Theses and Master's Reports

The natural environment is replete with organic matter of varying complexities. Whether it is particulate material in the atmosphere, decades old organic matter trapped within glaciers, or biological debris flowing with rivers and streams, natural organic matter (NOM) is exquisitely complex. High-resolution mass spectrometry allows us to have a glimpse of the molecular composition of NOM and delineate the elemental compositions of thousands of chemical species that form it. In this dissertation, the overarching aim was to explore the molecular diversity of complex mixtures from two sources: Surface water and atmospheric organic aerosol. The first objective of this dissertation was …

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United States Data - California

Relevant Publications

2021 Data Summary

Potential Applications Of Electrodynamic Tethers, Sai Charan Petchetti

International Journal of Aviation, Aeronautics, and Aerospace

In recent decades, alternative propulsion systems have been investigated and have attracted great interest in the space community. Most of these alternative propulsion systems need propellants. One alternative propulsion system that does not require propellants and is not often discussed is electrodynamic tethers (EDTs). This paper speculates the potential applications of EDTs ranging from radiation belt remediation to momentum exchange tether re-boosting.

Iowa Waste Reduction Center Newsletter, January 2021, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Inside this Issue:

--- Director Address
--- IWRC Energy Reduction Assistance for Iowa Businesses Webinar
--- Minor Source Emissions Inventory Assistance
--- January 31st Reporting Deadlines
--- Industry News