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2020

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Articles 301 - 330 of 14806

Full-Text Articles in Physical Sciences and Mathematics

Parallel Finite Element Simulations On Radiation Damage Effects Of Lateral Pnp Bjts, Wang Qin, Zhaocan Ma, Hongliang Li, Linbo Zhang, Benzhuo Lu Dec 2020

Parallel Finite Element Simulations On Radiation Damage Effects Of Lateral Pnp Bjts, Wang Qin, Zhaocan Ma, Hongliang Li, Linbo Zhang, Benzhuo Lu

Journal of System Simulation

Abstract: The Zlamal finite element discretization is applied in the drift-diffusion model for the simulations of semiconductor devices.Combined with the coupled ionization damage model,the ionization damage effects of lateral PNP (LPNP) bipolar junction transistors (BJT) are simulated.The model and algorithm are implemented based on the three-dimensional parallel adaptive finite element toolbox PHG (Parallel Hierarchical Grid).The phenomena of excess base current and current gain degradation in LPNP BJTs are successfully simulated via numerical calculation. A large-scale numerical experiment with 100 million elements and 1 024 MPI processes is carried out,demonstrating the good parallel scalability of the algorithm.

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Non-Cooperative Target Feature Point Cloud Registration Optimization Based On Icp Algorithm, Wei Liang, Muyao Xue, Huo Ju, Jinjie Zhang Dec 2020

Non-Cooperative Target Feature Point Cloud Registration Optimization Based On Icp Algorithm, Wei Liang, Muyao Xue, Huo Ju, Jinjie Zhang

Journal of System Simulation

Abstract: Aiming at the pose measurement caused by non-cooperative targets in visual measurement that cannot provide cooperation information,the ICP(Iterative Closest Point) algorithm is used to register the point cloud down-sampling data acquired at different times to complete the relative pose measurement of the target.The point cloud data of the target at the current moment is obtained using the structure from motion algorithm and the feature point matching algorithms are compared based on threshold matching and optical flow matching method.The extracted feature points are reconstructed by triangulation.The relative pose changes of the object at different times are calculated by using …

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One Turbulent Modeling Method Based On Environmental Forecast Data, Dawei Fan, Jiahui Tong Dec 2020

One Turbulent Modeling Method Based On Environmental Forecast Data, Dawei Fan, Jiahui Tong

Journal of System Simulation

Abstract: Based on the existing natural environment model of aircraft simulation test,the method of conversion and processing for environmental prediction data is studied.Based on the random wave theory,the mathematical model of turbulent wind is established,and the simulation modeling method is studied.Based on Davenport spectrum,a turbulent wind model based on environmental prediction data is established and is introduced into the mathematical simulation experiment of a type of aircraft to obtain the influence of wind turbulent on the flight state of the aircraft.The experimental results show that the gust turbulence has a greater impact on the aircraft's angle of …

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Analyzing Dispatching Wave Policies For E-Commerce Logistics Based On The Multi-Agent-Based Simulation, Zhiqiang Niu, Chaoyang Li, Hongyu Dong, Zhang Feng, Lingyun Meng, Tong Lu, Shengnan Wu Dec 2020

Analyzing Dispatching Wave Policies For E-Commerce Logistics Based On The Multi-Agent-Based Simulation, Zhiqiang Niu, Chaoyang Li, Hongyu Dong, Zhang Feng, Lingyun Meng, Tong Lu, Shengnan Wu

Journal of System Simulation

Abstract: To provide superior on-line shopping experiences and maintain sustained profitability,e-commerce logistics companies need design an effective dispatching wave policy strategy to handle the tradeoff between the advantage of economies of scale and fast-pace delivery services.A multi-agent-based simulation framework is proposed,where business processes in logistics are built as different nodes in the simulation network.Case studies are conducted to test the order delivery process with various wave strategies in the Beijing metropolitan area.Experimental results show that situation-dependent wave strategies are sensitive to different patterns of online shopping demands.

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Collaborative Optimization Of Production And Energy Consumption In Flexible Workshop, Ding Yu, Wang Yan, Zhicheng Ji Dec 2020

Collaborative Optimization Of Production And Energy Consumption In Flexible Workshop, Ding Yu, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Considering the problem of the multi-objective constrained flexible job-shop,the NSGA-Ⅱalgorithm based on hybrid mutation operator is proposed.In view of NSGA-II algorithm being prone to premature convergence,poisson average and gaussian operators are introduced to improve the global and local optimization ability of the algorithm.The optimal scheme is selected from the set of pareto solutions by adopting the strategy of FAHP-IEVM,which is the combination of subjective and objective evaluation method. The modified algorithm is tested and compared by a series of ZDT test functions.The results show that the convergence and diversity of the revised algorithm are improved obviously.The effectiveness of …

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Stereo Camera Calibration Based On Multiple Fitness Full-Parameter Autonomous Mutation Particle Swarm, Guiyang Zhang, Muyao Xue, Zijian Zhu, Huo Ju Dec 2020

Stereo Camera Calibration Based On Multiple Fitness Full-Parameter Autonomous Mutation Particle Swarm, Guiyang Zhang, Muyao Xue, Zijian Zhu, Huo Ju

Journal of System Simulation

Abstract: The acquisition of target parameters based on visual measurement provides reliable data support for performance analysis and evaluation of simulation system.The precision of measurement results is determined by the accuracy of camera calibration.A calibration method based on full parameter autonomous mutation particle swarm optimization is proposed.Traditional calibration method is utilized to obtain the initial internal parameters.The fast and global calibration algorithm based on particle swarm optimization is achieved by inertial coefficient contraction adjustment,global factor learning adjustment strategy based on particle distance,multi-adaptation function and the independent variation law.The experimental results show that the proposed method can improve the …

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A Simulation Credibility Assessment Method Based On Improved Fuzzy Comprehensive Evaluation, Peizhi Ran, Li Wei, Bao Ran, Ma Ping Dec 2020

A Simulation Credibility Assessment Method Based On Improved Fuzzy Comprehensive Evaluation, Peizhi Ran, Li Wei, Bao Ran, Ma Ping

Journal of System Simulation

Abstract: Aiming at the problems of inaccurate evaluation results caused by experts in the process of simulation credibility evaluation based on traditional fuzzy comprehensive evaluation according to personal preferences or expectations,and unreasonable selection of fuzzy synthetic calculations,a simulation credibility evaluation method based on improved fuzzy comprehensive evaluation is proposed.For the tree-like assessment index system,the fuzzy comprehensive evaluation matrix is used to determine the weight of each index in the assessment index system based on the minimum membership weighted average deviation;in the fuzzy synthesis operation,the membership evaluation weighted average deviation is used to obtain the comprehensive evaluation vector,and then the …

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Reliability Evaluation Method For Reuse Model Of Complex Simulation System, Ziheng Ye, Fuzhen Zhang, Yaoqin Zhu, Weiqing Li Dec 2020

Reliability Evaluation Method For Reuse Model Of Complex Simulation System, Ziheng Ye, Fuzhen Zhang, Yaoqin Zhu, Weiqing Li

Journal of System Simulation

Abstract: Model reuse can enhance the flexibility and scalability of simulation applications,and is necessary in the construction of complex simulation systems.Assessing credibility in multi-model combination simulation is the basic question of whether the model can be effectively reused.Aiming at the two simulation model reuse,in different application environments of physical model-oriented and numerical settlement-oriented,the credibility evaluation method for simulation reuse models based on bias propagation is proposed,and the respective modeling methods and evaluation methods are introduced in detail. Taking UAV as an example,the comparison result with the classic credibility evaluation method shows that the method can reduce the difficulty of …

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Automatic Discovery Method Of Dynamic Job Shop Dispatching Rules Based On Hyper-Heuristic Genetic Programming, Suyu Zhang, Wang Yan, Zhicheng Ji Dec 2020

Automatic Discovery Method Of Dynamic Job Shop Dispatching Rules Based On Hyper-Heuristic Genetic Programming, Suyu Zhang, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: The dynamic job shop has the uncertainty of resource state and the randomness of tasks,so it is difficult to find the common dispatching rules applicable to a variety of complex production scenarios.A method for automatic discovery of dynamic shop dispatching rules based on Hyper-Heuristic genetic programming is proposed,with makespan and average weighted tardiness as the optimization goals,is improved by using the automatic discovery of machine sequencing rules and the dynamic adaptability of workshop scheduling under different production scenarios.Through the semantic analysis of dispatching rules,the function of terminators on different optimization objectives is analyzed.The experiment result shows that …

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Optimization Algorithm For Planar Led Distribution And Connection, Fei Yue, Zhiqiang Gui, Yuyou Yao, Benzhu Xu, Liping Zheng Dec 2020

Optimization Algorithm For Planar Led Distribution And Connection, Fei Yue, Zhiqiang Gui, Yuyou Yao, Benzhu Xu, Liping Zheng

Journal of System Simulation

Abstract: The distribution and grouping of planar LED can be modeled as a multi constraint optimization problem.A novel algorithm based on the centroidal capacity-constrained power diagram for LED distribution is proposed,to achieve the goal of uniform illumination of planar LED.An optimization algorithm of LED combination and connection based on the greedy strategy is proposed to save materials.The experiment results show that the proposed algorithms are simple,effective in layout and grouping with rapid convergence,and can be used in practical applications.

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Amorphous Sio2/Si Interface Defects And Mechanism Of Passivation/Depassivation Reaction, Zhuocheng Hong, Zuo Xu Dec 2020

Amorphous Sio2/Si Interface Defects And Mechanism Of Passivation/Depassivation Reaction, Zhuocheng Hong, Zuo Xu

Journal of System Simulation

Abstract: The amorphous silicon dioxide/silicon (a-SiO2/Si) interface is an important part of semiconductor devices.The passivation and depassivation process of silicon dangling bond defects (Pb-type defects) at the SiO2/Si interface has a significant impact on semiconductor devices.Based on molecular dynamics and first-principles calculation methods,a-SiO2/Si(111) interface model is constructed based on a-SiO2 and crystalline Si.The CI-NEB (Climbing Image-Nudged Elastic Band) method is used to study the passivation and depassivation reactions of H2 and H atoms of Pb defects at the a-SiO2/Si(111) interface. The curves,barriers,and transition state structures of …

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Triple-Differential Cross Sections For (E,2e) Electron-Impact Ionization Dynamics Of Tetrahydrofuran At Low Projectile Energy, Enliang Wang, Xueguang Ren, Maomao Gong, Esam Ali, Zhenpeng Wang, Chao Ma, Don H. Madison, Xiangjun Chen, Alexander Dorn Dec 2020

Triple-Differential Cross Sections For (E,2e) Electron-Impact Ionization Dynamics Of Tetrahydrofuran At Low Projectile Energy, Enliang Wang, Xueguang Ren, Maomao Gong, Esam Ali, Zhenpeng Wang, Chao Ma, Don H. Madison, Xiangjun Chen, Alexander Dorn

Physics Faculty Research & Creative Works

We study the triple-differential cross section (TDCS) for the electron-impact ionization of the highest occupied molecular orbital of tetrahydrofuran at a projectile energy E0=91eV. The experimental data were measured using a reaction microscope, which covers a large part of the full solid angle for the secondary electron emission with energies ranging from 6 to 15 eV, and projectile scattering angles ranging from -10° to -20°. The experimental TDCSs are internormalized across all measured scattering angles and ejected energies. They are compared with predictions from the multicenter distorted-wave (MCDW) approximation and a modified MCDW-Nee method which includes the post collision interaction …

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Classifying Imbalanced Financial Fraud Data Utilizing Enhanced Random Forest Algorithm, Charles Gardner Dec 2020

Classifying Imbalanced Financial Fraud Data Utilizing Enhanced Random Forest Algorithm, Charles Gardner

Master of Science in Computer Science Theses

Imbalanced datasets have been a unique challenge for machine learning, requiring specialized approaches to correctly classify the minority class. Financial fraud detection involves using highly imbalanced datasets with a class imbalance of up to .01% frauds to 99.99% regular transactions. It is essential to identify all frauds in financial fraud detection, even if some classifications' precision is low. I developed a random forest assembly that separates fraudulent transactions into tiers of precision. With this approach, 96% of fraudulent transactions are identified, showing an 8% increase in recall when compared to standard approaches. 59% of fraud classifications' precision increases by 10% …

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Human-Computer Interaction Speech Emotion Recognition Based On Random Forest And Convolution Feature Learning, Wang Jing, Hongyan Liu, Fangfang Liu, Qingqing Wang Dec 2020

Human-Computer Interaction Speech Emotion Recognition Based On Random Forest And Convolution Feature Learning, Wang Jing, Hongyan Liu, Fangfang Liu, Qingqing Wang

Journal of System Simulation

Abstract: Focus on the different speech features of different types of people in the automatic speech emotion recognition of emotional robots,a random forest for speech emotion recognition is proposed,and a preliminary simulation experiment of emotional social robot system based on convolution feature learning is carried out.The results show that the emotional robot can track in real time,the seven basic emotions of excitement,anger,sadness,happiness,surprise,fear and neutrality.By using non personalized speech emotion features,the original personalized speech emotion features are supplemented,and the general emotion and special emotion are extracted.For emotional robot,using these indicators has a certain application prospect in the simulation experiment …

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Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo Dec 2020

Research On Fuzzy Control And Optimization For Traffic Lights At Single Intersection, Jiajia Liu, Xingquan Zuo

Journal of System Simulation

Abstract: Aiming at the traffic signal control at urban single intersection,a fuzzy control method for traffic lights is presented.The method is based on a four-phase phasing sequence to control the traffic lights at a single intersection.Inputs of the fuzzy controller are the number of vehicles in line and the arrival rate of vehicles,and the output is the green light extension time of the current green light phase.A genetic algorithm (GA) is used to optimize fuzzy rules and membership functions of the fuzzy control system to improve the performance of the fuzzy controller.The fuzzy control method is realized by using …

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Establishment And Development Of Simulation-Based Aero Engine Acquisition On, Caiyun Liang, Hongxin Li, Yanfeng Sui, Luan Xu, Shi Feng Dec 2020

Establishment And Development Of Simulation-Based Aero Engine Acquisition On, Caiyun Liang, Hongxin Li, Yanfeng Sui, Luan Xu, Shi Feng

Journal of System Simulation

Abstract: Follow the increasing demand of aircraft for aero engine‘s capabilities and because of the increase of engine‘s own technical difficulty,the risks,cycles and costs of the engine development is rising,and the high demand of traditional acquisition model is urgently needed.The idea of digitalized aero engine acquisition is presented,which starts from joint analysis,applies multi-dimensional scaling technology,carries out integrated simulation based on the models of each dimension of virtual prototype,and realizes the evaluation of technical scheme.The mapping relationship among technical solutions,schedules and costs etc.are established,and a basic framework for simulation based acquisition of engines is constructed by using the work …

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Research On Dissemination And Control Of Public Opinion Based On Multilayer Coupled Network, Chen Shuai Dec 2020

Research On Dissemination And Control Of Public Opinion Based On Multilayer Coupled Network, Chen Shuai

Journal of System Simulation

Abstract: In order to study the influence of information interaction between multi-platforms on the dissemination and control of public opinion,taking Wechat and Weibo for example,a public opinion communication and control model based on multi-layer coupled network including Wechat layer,Weibo layer and control layer is constructed using multi-agent modeling method and improved SEIR model.On Anylogic platform,a simulation experiment was conducted on the event that “the use of materials by the Hubei Red Cross Society raises doubts”,and the effects factors such as single/dual platform,control range,control dynamics,control time and interaction between platforms were analyzed.The media guidance and government intervention strategies under multi-platform …

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Fault Diagnosis For Bearings Of Unbalanced Data Based On Feature Generation, Minglu Fan, Wang Yan, Zhicheng Ji Dec 2020

Fault Diagnosis For Bearings Of Unbalanced Data Based On Feature Generation, Minglu Fan, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Focus on the sample imbalance and insufficiency caused by the difficulty to obtain a sufficient number of fault samples in actual production.A model for rolling bearings by combining Convolutional Neural Networks and Synthetic Oversampling is presented.The frequency domain signals is used as the input of the model,and the features are extracted by the Convolutional Neural Network.The new features are generated by Synthetic Oversampling and the data equalization is realized.The model completes the classification by putting all of the features into the Support Vector Machine,and the fault diagnosis of the rolling bearings is carried out.The comparison experiments results …

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Application Of Simulation Technology In Football Overall Attack Training, Xu Nuo, Shuanglong Liu, Fugao Jiang Dec 2020

Application Of Simulation Technology In Football Overall Attack Training, Xu Nuo, Shuanglong Liu, Fugao Jiang

Journal of System Simulation

Abstract: Simulation technology has a broad prospect in the field of football application.At present,football attack training is mainly based on audio-visual,experience and on-the-spot practice,but it lacks professional scene representation and systematic theoretical support. Visual C++ development platform and simulation programming method are used to virtualize the football training and reproduce the overall attack drill of football under different training scenes.The results show that the simulation technology can achieve more training situations. It can be used as an auxiliary tool for football overall attack training,enrich the training means,help players accurately understand the tactical system,and promote the scientific development of football training.

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Prediction Of Epidemic Transmission And Evaluation Of Prevention And Control Measures Based On Artificial Society, Bin Chen, Yang Mei, Chuan Ai, Ma Liang, Zhengqiu Zhu, Hailiang Chen, Mengna Zhu, Xu Wei Dec 2020

Prediction Of Epidemic Transmission And Evaluation Of Prevention And Control Measures Based On Artificial Society, Bin Chen, Yang Mei, Chuan Ai, Ma Liang, Zhengqiu Zhu, Hailiang Chen, Mengna Zhu, Xu Wei

Journal of System Simulation

Abstract: The COVID-19 has been controlled under the strict measures,but how to normalize it deserves in-depth study.The COVID-19 transmission model and the human contact network are established separately based on SEIR model and the artificial social scenario.With the support of the multi-agent computational experiment method,a large sample calculation experiment was performed on the Tianhe supercomputer to simulate the epidemic transmission in typical areas such as communities,schools,and workplaces in artificial cities,and to predict and evaluate the risk of epidemic spread after resumption of work and school.The results show that epidemic prevention and control must be prepared for a …

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A Nonstandard Proof Of De Finetti’S Theorem For Bernoulli Random Variables, Irfan Alam Dec 2020

A Nonstandard Proof Of De Finetti’S Theorem For Bernoulli Random Variables, Irfan Alam

Journal of Stochastic Analysis

No abstract provided.

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Data In Support Of The Paper "Dependence Of Aerosol-Droplet Partitioning On Turbulence In A Laboratory Cloud", Abu Sayeed Md Shawon, Prasanth Prabhakaran, Gregory Kinney, Raymond Shaw, Will Cantrell Dec 2020

Data In Support Of The Paper "Dependence Of Aerosol-Droplet Partitioning On Turbulence In A Laboratory Cloud", Abu Sayeed Md Shawon, Prasanth Prabhakaran, Gregory Kinney, Raymond Shaw, Will Cantrell

Michigan Tech Research Data

No abstract provided.

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Decline Of Novel Ecosystems Used By Endangered Species: The Case Of Piping Plovers, Least Terns, And Aggregate Mines, Joel G. Jorgensen, Stephen J. Brenner, Lauren R. Greenwalt, Mark P. Vrtiska Dec 2020

Decline Of Novel Ecosystems Used By Endangered Species: The Case Of Piping Plovers, Least Terns, And Aggregate Mines, Joel G. Jorgensen, Stephen J. Brenner, Lauren R. Greenwalt, Mark P. Vrtiska

School of Natural Resources: Faculty Publications

Sand and gravel mining creates novel ecosystems along the Platte, Loup, and Elkhorn rivers in Nebraska, USA. Piping plovers and least terns are state and/or federally threatened and endangered species, respectively, that nest and raise young at these sites and their derivatives. Despite hosting relatively large numbers of piping plovers and least terns for decades, an important question that has largely gone unaddressed is whether the industry that has produced these novel ecosystems is stable and will continue to produce habitat consistently in the future. We evaluated how the number, size, and spatial distribution of different site types hosting different …

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Species Distribution Modeling For Arid Adapted Habitat Specialists In Zion National Park, Sam Driver, Daniel R. Unger, David L. Kulhavy, Chris M. Schalk Dec 2020

Species Distribution Modeling For Arid Adapted Habitat Specialists In Zion National Park, Sam Driver, Daniel R. Unger, David L. Kulhavy, Chris M. Schalk

Student Publications

The Arizona toad (Anaxyrus microscaphus) and Jones’ waxy dogbane (Cycladenia humilis var. jonesii) are habitat specialists with historical ranges in the desert southwest and specifically, Zion National Park (ZION). The machine learning method, MaxEnt, constructed species distribution models (SDMs) in ZION for the two study species at 30 m and 900 m spatial resolutions using climate, topographic, and remotely sensed data. Additionally, 900 m forecasting models were constructed to observe the shifts in suitable habitat for the years 2050 and 2070, based off two representative concentration pathway scenarios. Results indicate promising predictive power for both high …

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Fisher Formalism For Anisotropic Gravitational-Wave Background Searches With Pulsar Timing Arrays, Y. Ali-Haïmoud, Tristan L. Smith, C. M. F. Mingarelli Dec 2020

Fisher Formalism For Anisotropic Gravitational-Wave Background Searches With Pulsar Timing Arrays, Y. Ali-Haïmoud, Tristan L. Smith, C. M. F. Mingarelli

Physics & Astronomy Faculty Works

Pulsar timing arrays (PTAs) are currently the only experiments directly sensitive to gravitational waves with decade-long periods. Within the next five to ten years, PTAs are expected to detect the stochastic gravitational-wave background (SGWB) collectively sourced by inspiraling supermassive black hole binaries. It is expected that this background is mostly isotropic, and current searches focus on the monopole part of the SGWB. Looking ahead, anisotropies in the SGWB may provide a trove of additional information on both known and unknown astrophysical and cosmological sources. In this paper, we build a simple yet realistic Fisher formalism for anisotropic SGWB searches with …

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Response Of Deep Aquifers To Climate Variability, Karem Fathy Abdelgaber Abdelmohsen Dec 2020

Response Of Deep Aquifers To Climate Variability, Karem Fathy Abdelgaber Abdelmohsen

Dissertations

Our recent analysis of Temporal Gravity Recovery and Climate Experiment (GRACE) solutions over the largest aquifer system in Africa (the Nubian Sandstone Aquifer System: NSAS) revealed that while the response of deep aquifers to climatic variations remains a relatively slow process that takes thousands to tens of thousands of years, there is a much faster response in aquifers that are characterized by dense networks of faults, fractures and karst as is the case with the NSAS. This rapid groundwater flow, when it occurs, is detected as an increase in GRACETWS over areas downgradient and distant (hundreds of km) from …

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The Kitchen Table: Relationships With The People, Food And Land That Sustain Us, Chelsey Frost Dec 2020

The Kitchen Table: Relationships With The People, Food And Land That Sustain Us, Chelsey Frost

Masters Theses

The purpose of this paper is to examine the ways in which interactions with food and around food affect an individual’s sense of self, connection to community as well as to friends and family, and sense of place. Short, personal narrative gives way to discussion of such themes and ideas as home, homemade food and terroir. It becomes clear that acts of celebration of and gratitude for food, particularly in connection with a specific place or line of heritage, play necessary roles in the development of our personal identities and in our search for belonging. These stories are based on …

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Sensuous Knitting: Making Practice That (Re)Members Ecological Entanglement, Sarah Manion Dec 2020

Sensuous Knitting: Making Practice That (Re)Members Ecological Entanglement, Sarah Manion

Masters Theses

Conceptualizing the climate crisis as a system of broken relationships calls for a broader understanding of entangled ecological interrelationality. Developing deep and effective responses relies on a stamina for complexity grounded in a recognition and acknowledgement of the way ecological entanglements are revealed to us. Within this frame, practice may provide unique opportunity for the development and promotion of this attuned awareness. To explore this possibility, the personal practice of sensuous knitting is used in this thesis as a way to demonstrate the intersections between intellectual modes of understanding and embodied forms of knowing. Using elements of autoethnographic narration of …

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Mobility Justice And Social Capital In Strawberry Mansion And Kensington, Philadelphia Pa, Rebecca Fruehwald Dec 2020

Mobility Justice And Social Capital In Strawberry Mansion And Kensington, Philadelphia Pa, Rebecca Fruehwald

Masters Theses

This thesis explores the theoretical and practical relationship between mobility justice and social capital. A literature review establishes the theoretical relationship through an overview of history and policy. The relationship is then explored through a case study of Strawberry Mansion and Kensington neighborhoods in Philadelphia. These sections are then connected by considering how they are both impacted by the larger system of capitalism. The real-world example of gentrification is given for how all these elements interact and affect each other, and the practical relationship between mobility justice and social capital is established. Finally, policy implementations and paths for possible future …

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Exploring Multimedia Storytelling As A Novel Tool To Inspire Americans To Participate In Wildlife Conservation, Megan Brief Dec 2020

Exploring Multimedia Storytelling As A Novel Tool To Inspire Americans To Participate In Wildlife Conservation, Megan Brief

Masters Theses

Human and nonhuman animal lives are intimately entangled. In the age of the Anthropocene, it is imperative to reexamine our proximity and kinship with nature. Human-wildlife conflict can evolve into coexistence through conservation efforts marked by creativity and compassion. To inspire conservation action among North American audiences, we must enact novel ways of disseminating scientifically technical concepts. Multimedia storytelling can encourage equitable involvement among lay participants in conservation spaces. When inclusive of Indigenous knowledges, and conscious of damage narratives, such innovative stories can empathetically communicate wildlife degradation and injustices, as well as animate vulnerable human and nonhuman communities.

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