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Articles 5611 - 5640 of 42801
Full-Text Articles in Entire DC Network
Structural Design And Synthesis Of Growth Factor Receptor Binding Protein 2 (Grb2) Stabilizing Small Molecule, Mahfuzul Hasan
Structural Design And Synthesis Of Growth Factor Receptor Binding Protein 2 (Grb2) Stabilizing Small Molecule, Mahfuzul Hasan
Theses and Dissertations
The growth factor receptor tyrosine kinase (RTK) family is a potent inducer of cellular growth. Ligand binding to cognate receptors on plasma membrane induces receptor dimerization and activation, which in turn recruits intracellular molecules for downstream signal transduction. A key signaling pathway activated by growth factor (GF) receptors is the Ras signaling cascade that ultimately leads to cell proliferation. Activation of RTKs leads to the recruitment of adapter protein Grb2, which is constitutively bound to the mammalian homolog of drosophila son of sevenless (SOS), and a guanine exchange factor (GEF) for Ras. The recruitment of the Grb2-SOS complex by activated …
Biosynthesis Of Mgo Nanoparticles And Their Impact On The Properties Of The Pva/Gelatin Nanocomposites For Smart Food Packaging Applications, Mohamed Morsy
Nanotechnology Research Centre
No abstract provided.
3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly
3-Dimensional Quartic Bézier Curve Approximation Model By Using Neutrosophic Approach, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly
Neutrosophic Systems with Applications
In a 3-dimensional data collection process, there exists noise data that cannot be included to visualize the process. Therefore, it is difficult to deal with since fuzzy set and intuitionistic fuzzy set theories did not consider the indeterminacy problem. However, using a neutrosophic approach with three memberships: truth, false, and indeterminacy membership function, the error data will be treated as uncertain data by using the indeterminacy degree. Thus, this study will visualize the 3-dimensional quartic Bézier curve model by using neutrosophic set theory. To construct the model, the neutrosophic quartic control point must first be introduced to approximate the neutrosophic …
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Mohammad Tubishat, Husam Jasim Mohammed
Enhancing Rice Leaf Disease Classification: A Customized Convolutional Neural Network Approach, Ammar Kamal Abasi, Sharif Naser Makhadmeh, Osama Ahmad Alomari, Mohammad Tubishat, Husam Jasim Mohammed
All Works
In modern agriculture, correctly identifying rice leaf diseases is crucial for maintaining crop health and promoting sustainable food production. This study presents a detailed methodology to enhance the accuracy of rice leaf disease classification. We achieve this by employing a Convolutional Neural Network (CNN) model specifically designed for rice leaf images. The proposed method achieved an accuracy of 0.914 during the final epoch, demonstrating highly competitive performance compared to other models, with low loss and minimal overfitting. A comparison was conducted with Transfer Learning Inception-v3 and Transfer Learning EfficientNet-B2 models, and the proposed method showed superior accuracy and performance. With …
Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali
Lrtransformer: Learn-Region Transformer For Object-Agnostic Point Cloud Segmentation, Dipesh Gyawali
LSU Master's Theses
3D point cloud segmentation segments the 3D point cloud data into different regions/instances depending on their features that have numerous applications in robotics, autonomous driving, digital twinning, augmented reality, etc. The majority of the existing point cloud segmentation methods depend on class labels to identify 3D objects in the surroundings. Our work focuses on segmenting point clouds into different regions/instances in an object-agnostic manner for any number of objects in the environment. Given the point cloud, our method can segment the entire scene into multiple instances without depending on object shape and size. We leverage the power of the self-attention …
Braf D594a Mutation Defines A Unique Biological And Immuno-Modulatory Subgroup Associated With Functional Cd8+ T Cell Infiltration In Colorectal Cancer, Wenjing Li, Chenyi Zhao, Wenhui Li, Yang Gong, Kaili Ma, Yujie Lu, Xiaowei Liu, Lianjun Zhang, Feng Guo
Braf D594a Mutation Defines A Unique Biological And Immuno-Modulatory Subgroup Associated With Functional Cd8+ T Cell Infiltration In Colorectal Cancer, Wenjing Li, Chenyi Zhao, Wenhui Li, Yang Gong, Kaili Ma, Yujie Lu, Xiaowei Liu, Lianjun Zhang, Feng Guo
Faculty, Staff and Student Publications
BACKGROUND: BRAF non-V600 mutation occupies a relatively small but critical subset in colorectal cancer (CRC). However, little is known about the biological functions and impacts of BRAF class III mutation in CRC. Here, we aim to explore how D594A mutation impacts on biological behaviors and immune related signatures in murine CRC cells.
METHODS: BRAF V600E (class I), G469V (class II) and D594A (class III) mutant cell lines were established based on MC38 cells. The biological behaviors of cells were evaluated in respect of cell growth, cell proliferation, cell apoptosis, cell migration and invasion by the methods of colony-forming assay, CCK-8 …
Data Sharing And Ontology Use Among Agricultural Genetics, Genomics, And Breeding Databases And Resources Of The Agbiodata Consortium, Jennifer L. Clarke, Laurel D. Cooper, Monica F. Poelchau, Tanya Z. Berardini, Justin Elser, Andrew D. Farmer, Stephen Ficklin, Sunita Kumari, Marie-Angélique Laporte, Rex T. Nelson, Rie Sadohara, Peter Selby, Anne E. Thessen, Brandon Whitehead, Taner Z. Sen
Data Sharing And Ontology Use Among Agricultural Genetics, Genomics, And Breeding Databases And Resources Of The Agbiodata Consortium, Jennifer L. Clarke, Laurel D. Cooper, Monica F. Poelchau, Tanya Z. Berardini, Justin Elser, Andrew D. Farmer, Stephen Ficklin, Sunita Kumari, Marie-Angélique Laporte, Rex T. Nelson, Rie Sadohara, Peter Selby, Anne E. Thessen, Brandon Whitehead, Taner Z. Sen
Department of Statistics: Faculty Publications
Over the last couple of decades, there has been a rapid growth in the number and scope of agricultural genetics, genomics and breeding databases and resources. The AgBioData Consortium (https://www.agbiodata.org/) currently represents 44 databases and resources (https://www.agbiodata.org/databases) covering model or crop plant and animal GGB data, ontologies, pathways, genetic variation and breeding platforms (referred to as ‘databases’ throughout). One of the goals of the Consortium is to facilitate FAIR (Findable, Accessible, Interoperable, and Reusable) data management and the integration of datasets which requires data sharing, along with structured vocabularies and/or ontologies. Two AgBioData working groups, focused on Data Sharing and …
Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros
Teacher Candidates’ Conceptions And Practices Of Computational Thinking For Equity, Heather F. Clark, Symone A. Gyles, Imelda Nava-Landeros
Journal of Computer Science Integration
This study documents novice science and math teachers’ developing pedagogical approaches to integrating computational thinking (CT) and data into their courses to support educational equity and social justice. The 10 novice teacher candidates (TCs) studied were part of an urban teacher residency program that empowered them with an asset-based pedagogy we describe as “CT for Equity.” Drawing on coursework and interviews as data, we asked three questions: What are teachers’ conceptions of CT? What are their CT instructional practices? And how did their students respond to those practices? To explore conceptions of CT, we used Kafai et al.’s (2020) articulation …
Applications Of Medico-Legal Entomology: Using Insects For Forensic And Environmental Investigations, Denise Gemmellaro
Applications Of Medico-Legal Entomology: Using Insects For Forensic And Environmental Investigations, Denise Gemmellaro
Sustainability Seminar Series
Forensic entomology is the application of entomology (the study of insects and arthropods) to forensic investigations. Medico-legal entomology focuses on those groups of insects that are attracted to decomposing organic matter. Dr. Gemmellaro’s work is mainly focused on medico-legal entomology. Once a dead body is exposed to the elements, insects will shortly locate the body and will colonize it by laying eggs on it; one of the major groups of colonizers is the true fly family of blow flies (Diptera: Calliphoridae). Blow fly females need a decomposing body to lay their eggs; the eggs will hatch into maggots and the …
Land Education And Young People Working Toward Salamander: Collective Well-Being In Response To Bioindicators Of Socioenvironmental Justice, Rachael Arens, Ricardo Martinez
Land Education And Young People Working Toward Salamander: Collective Well-Being In Response To Bioindicators Of Socioenvironmental Justice, Rachael Arens, Ricardo Martinez
Democracy & Education
Our planet is facing many environmental challenges, including climate change, loss of biodiversity and habitat, and pollution, while many of our populations are also experiencing marginalization due to poverty, race, gender, language, ability, and environmental injustices. Environmental hazards and policies often impact those in society who are most at-risk, creating a need for an environmental education (EE) movement that encourages students to challenge and regain control of a system that impacts them. Teachers can implement a reflection tool known as the SALAMANDER Collective Well-Being in Response to Bioindicators of Socioenvironmental Justice Framework to prompt students and other educators to place …
Ai In The College Classroom: From Communication To Animation, Stefanie Powers, Erika Grodzki, Gary Carlin, Hung Chum Kao
Ai In The College Classroom: From Communication To Animation, Stefanie Powers, Erika Grodzki, Gary Carlin, Hung Chum Kao
Faculty and Staff Publications & Presentations
No abstract provided.
The Santa Clara, 2023-10-13, Santa Clara University
The Santa Clara, 2023-10-13, Santa Clara University
The Santa Clara
No abstract provided.
Use And Effectiveness Of Wildlife Exits Designed For Ocelots And Other Mesocarnivores On A South Texas Highway, Zarina N. Sheikh, Jamie E. Langbein, Kevin W. Ryer, Md Saydur Rahman, Christopher A. Gabler, John H. Young Jr., Richard Kline
Use And Effectiveness Of Wildlife Exits Designed For Ocelots And Other Mesocarnivores On A South Texas Highway, Zarina N. Sheikh, Jamie E. Langbein, Kevin W. Ryer, Md Saydur Rahman, Christopher A. Gabler, John H. Young Jr., Richard Kline
School of Earth, Environmental, & Marine Sciences Faculty Publications
Movement is a key component of survival and reproduction, often causing wildlife to cross heavily trafficked highways, resulting in road mortalities by oncoming vehicles. Fencing and crossing structures are commonly regarded as effective mitigation structures to reduce these mortalities. In south Texas, ten wildlife exits (WE) were installed along State Highway 100 in conjunction with existing mitigation structures to provide the US endangered ocelot (Leopardus pardalis), a medium-sized spotted wild cat, a safe option to escape the right of way (ROW). The objectives of this study were to determine the effectiveness and species usage and to estimate the …
Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay
Interval-Valued Fermatean Neutrosophic Shortest Path Problem Via Score Function, Said Broumi, S. Krishna Prabha, Vakkas Uluçay
Neutrosophic Systems with Applications
Contemporary mathematical techniques have been crafted to address the uncertainty of numerous real-world settings, including Fermatean neutrosophic fuzzy set theory. Fermatean neutrosophic fuzzy set is an extension of combining Fermatean and neutrosophic sets. A Fermatean neutrosophic set was developed to enable the analytical management of ambiguous data from relatively typical real-world decision-making scenarios. Decision-makers find it challenging to determine the degree of membership (MG) and non-membership (NG) with sharp values due to the insufficient data provided. Intervals MG and NG are suitable options in these circumstances. In this article, the shortest route issue is formulated using an interval set of …
Vulnerability Of Elevation-Restricted Endemic Birds Of The Cordillera De Talamanca (Costa Rica And Panama) To Climate Change, Zhen Lui, Luis Sandoval, Lauren B. Sherman, Andrew M. Wilson
Vulnerability Of Elevation-Restricted Endemic Birds Of The Cordillera De Talamanca (Costa Rica And Panama) To Climate Change, Zhen Lui, Luis Sandoval, Lauren B. Sherman, Andrew M. Wilson
Environmental Studies Faculty Publications
Animals endemic to tropical mountains are known to be especially vulnerable to climate change. The Cordillera de Talamanca (Costa Rica and Panama) is a geographically isolated mountain chain and global biodiversity hotspot, home to more than 50 endemic bird species. We used eBird community science observations to predict the distributions of a suite of 48 of these endemic birds in 2006–2015, and in 2070, under four climate change scenarios. Species distributions were predicted using program Maxent, incorporating elevation, satellite derived habitat data, and WorldClim climate variables. Model fit, as assessed by Area under the Receiver Operator Curve (AUC), was very …
Widespread Dominance Of Methane Ebullition Over Diffusion In Freshwater Aquaculture Ponds, Renske J. E. Vroom, Sarian Kosten, Rafael M. Almeida, Raquel Mendonça, Ive S. Muzitano, Icaro Barbosa, Jonas Nasário, Ernandes S. Oliveira Junior, Alexander S. Flecker, Nathan Barros
Widespread Dominance Of Methane Ebullition Over Diffusion In Freshwater Aquaculture Ponds, Renske J. E. Vroom, Sarian Kosten, Rafael M. Almeida, Raquel Mendonça, Ive S. Muzitano, Icaro Barbosa, Jonas Nasário, Ernandes S. Oliveira Junior, Alexander S. Flecker, Nathan Barros
School of Earth, Environmental, & Marine Sciences Faculty Publications
An ever-increasing demand for protein-rich food sources combined with dwindling wild fish stocks has caused the aquaculture sector to boom in the last two decades. Although fishponds are potentially strong emitters of the greenhouse gas methane (CH4), little is known about the magnitude, pathways, and drivers of these emissions. We measured diffusive CH4 emissions at the margin and in the center of 52 freshwater fishponds in Brazil. In a subset of ponds (n = 31) we additionally quantified ebullitive CH4 fluxes and sampled water and sediment for biogeochemical analyses. Sediments (n = 20) were …
Cybersecurity Challenges And Awareness Of The Multi-Generational Learners In Nepal, Raj Kumar Dhungana, Lina Gurung Dr, Hem Poudyal
Cybersecurity Challenges And Awareness Of The Multi-Generational Learners In Nepal, Raj Kumar Dhungana, Lina Gurung Dr, Hem Poudyal
Journal of Cybersecurity Education, Research and Practice
Increased exposure to technologies has lately emerged as one of the everyday realities of digital natives, especially K-12 students, and teachers, the digital immigrants. Protection from cybersecurity risks in digital learning spaces is a human right, but students are increasingly exposed to high-risk cyberspace without time to cope with cybersecurity risks. This study, using a survey (N-891 students and 157 teachers) and in-depth interviews (27 students and 14 teachers), described the students' cybersecurity-related experiences and challenges in Nepal. This study revealed that the school’s cybersecurity support system is poor and teachers has very low awareness and competencies to protect students …
Neuronal Nadph Oxidase Is Required For Neurite Regeneration Of Aplysia Bag Cell Neurons, S.M. Sabbir Alam, Yuichiro Watanabe, Brooke L. Steeno, Soumyajit Dutta, Halie A. Szilagyi, Alexander Wei, Daniel M. Suter
Neuronal Nadph Oxidase Is Required For Neurite Regeneration Of Aplysia Bag Cell Neurons, S.M. Sabbir Alam, Yuichiro Watanabe, Brooke L. Steeno, Soumyajit Dutta, Halie A. Szilagyi, Alexander Wei, Daniel M. Suter
Department of Chemistry Faculty Publications
NADPH oxidase (Nox), a major source of reactive oxygen species (ROS), is involved in neurodegeneration after injury and disease. Nox is expressed in both neuronal and non-neuronal cells and contributes to an elevated ROS level after injury. Contrary to the well-known damaging effect of Nox-derived ROS in neurodegeneration, recently a physiological role of Nox in nervous system development including neurogenesis, neuronal polarity, and axonal growth has been revealed. Here, we tested a role for neuronal Nox in neurite regeneration following mechanical transection in cultured Aplysia bag cell neurons. Using a novel hydrogen peroxide (H2O2)-sensing dye, 5′-(p-borophenyl)-2′-pyridylthiazole pinacol ester (BPPT), we …
Recent Advances In Crispr/Cas9-Assisted Gene Therapy, Apeksha Srivastava, Shikha Chauhan, Vishal Ahuja
Recent Advances In Crispr/Cas9-Assisted Gene Therapy, Apeksha Srivastava, Shikha Chauhan, Vishal Ahuja
Karbala International Journal of Modern Science
CRISPR/Cas9 (Clustered regularly interspaced short palindromic repeats) is an exponentially growing tool with wide-spread applications in therapeutics like gene modifications that focus on altering the hereditary material to repair or eliminate any defective gene-causing diseases like cancer, AIDS (Acquired immunodeficiency syndrome), etc. It also includes the identification of the target sequence with the help of sgRNA followed by the substitution of a malfunction-ing gene with a normal version. It offers high efficiency, specificity, and post-gene-editing efficacy, but have also some off-target impressions, and immunogenic effects. The contribution of CRISPR/Cas9 has already been proved primarily in in-vitro studies using animal germ …
Estimation Of Water Quality Of Dikhu River Of Nagaland Through A Combination Of Water Quality Index And Principal Component Analysis Techniques., Lanuyanger Longchar, Wati Temjen, Khikeya Semy, Wati Lemla
Estimation Of Water Quality Of Dikhu River Of Nagaland Through A Combination Of Water Quality Index And Principal Component Analysis Techniques., Lanuyanger Longchar, Wati Temjen, Khikeya Semy, Wati Lemla
Karbala International Journal of Modern Science
Monitoring the physico-chemical attributes of water is essential for determining water quality. The present study explores the effect of various anthropogenic factors on the quality of Dikhu River, Nagaland. Water samples from three sampling stations were compared against three standards: Indian Council of Medical Research, Bureau of Indian Standards, and World Health Organization. Although all parameters were within the permissible limits, the Water Quality Index categorized all sites during the rainy season as "poor quality", highlighting anthropogenic impacts. A principal component analysis created a Minimum Data Set (MDS) explaining 100%, 93.27%, and 96.26% of the total variance for the three …
Phytochemical Constituent And Antioxidant Activity Evaluation Of Red Seaweed Eucheuma Sp., Ade Arsianti
Phytochemical Constituent And Antioxidant Activity Evaluation Of Red Seaweed Eucheuma Sp., Ade Arsianti
Indonesian Journal of Medical Chemistry and Bioinformatics
Oxidative stress is a condition in which there is an imbalance between production of free radicals and protective response via antioxidant system. There are endogenous and exogenous antioxidants, however as age increases, there is a reduction in endogenous antioxidant, thus the search for potential exogenous antioxidants which could be derived from natural resources are needed. Indonesia is a megabiodiversity country which has more than 30,000 species of plants and animals. Red seaweed Eucheuma sp. is one of marine macroalgae species which shows potent biological activities. This study aims to determine the phytochemical constituent and to evaluate the antioxidant activity of …
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Classification Of Chronic Pain Using Fmri Data: Unveiling Brain Activity Patterns For Diagnosis, Rejula V, Anitha J, Belfin Robinson
Turkish Journal of Electrical Engineering and Computer Sciences
Millions of people throughout the world suffer from the complicated and crippling condition of chronic pain. It can be brought on by several underlying disorders or injuries and is defined by chronic pain that lasts for a period exceeding three months. To better understand the brain processes behind pain and create prediction models for pain-related outcomes, machine learning is a potent technology that may be applied in Functional magnetic resonance imaging (fMRI) chronic pain research. Data (fMRI and T1-weighted images) from 76 participants has been included (30 chronic pain and 46 healthy controls). The raw data were preprocessed using fMRIprep …
Conserving Nature's Chorus: Local And Landscape Features Promoting Frog Species Richness In Farm Dams, Martino E. Malerba, Jodi J L Rowley, Peter I. Macreadie, James Frazer, Nicholas J. Wright, Nayyar Zaidi, Asef Nazari, Dhananjay Thiruvady, Don A. Driscoll
Conserving Nature's Chorus: Local And Landscape Features Promoting Frog Species Richness In Farm Dams, Martino E. Malerba, Jodi J L Rowley, Peter I. Macreadie, James Frazer, Nicholas J. Wright, Nayyar Zaidi, Asef Nazari, Dhananjay Thiruvady, Don A. Driscoll
Climate Science Research Articles
Habitat loss is a key factor in the ongoing freshwater biodiversity crisis. A promising way to help tackle the rapid decline in freshwater biodiversity is to improve the potential for artificial wetlands to provide habitat for aquatic wildlife. Farm dams (also known as agricultural ponds) are among the most abundant waterbodies in agricultural landscapes and can act as “oases” against droughts for many species. Despite their prominent role in agriculture, predictive models to evaluate their ecological potential are yet to emerge. Here we use a continental-scale data set of 104,013 audio recordings from citizen scientists to identify and locate 107 …
Geospatial Data Integration Middleware For Exploratory Analytics Addressing Regional Natural Resource Grand Challenges In The Us Mountain West, Shannon Albeke, Nicholas Case, Samantha Ewers, Jeffrey Hamerlinck, William Kirkpatrick, Jerod Merkle, Luke Todd
Geospatial Data Integration Middleware For Exploratory Analytics Addressing Regional Natural Resource Grand Challenges In The Us Mountain West, Shannon Albeke, Nicholas Case, Samantha Ewers, Jeffrey Hamerlinck, William Kirkpatrick, Jerod Merkle, Luke Todd
I-GUIDE Forum
This paper describes CyberGIS-based research and development aimed at improving geospatial data integration and visual analytics to better understand the impact of regional climate change on water availability in the U.S. Rocky Mountains. Two Web computing applications are presented. DEVISE - Derived Environmental Variability Indices Spatial Extractor, streamlines utilization of environmental data for better-informed wildlife decisions by biologists and game managers. The WY-Adapt platform aims to enhance predictive understanding of climate change impacts on water availability through two modules: “Current Conditions” and “Future Scenarios”. It integrates high-resolution models of the biophysical environment and human interactions, providing a robust framework for …
Investigating Rare Genetic Variants Of Unknown Significance In Ldha, Animesh Dali, Brennan Jensen, Olivia Lockette, Duyen Nguyen
Investigating Rare Genetic Variants Of Unknown Significance In Ldha, Animesh Dali, Brennan Jensen, Olivia Lockette, Duyen Nguyen
Annual Student Research Poster Session
The exponential expansion and advancement of genetic sequencing has revealed the molecular basis of many genetic diseases. However, many genetic mutations are still classified as variants of unknown significance (VUS). Our lab focused on eleven missense variants in Lactate Dehydrogenase A (LDHA), an enzyme vital in anaerobic respiration. The intent with our research is to produce data on the kinetic functionality of wild type LDHA and compare this to its mutants of unknown significance. This data, supplemented with the structural information of the mutants can help reduce the ambiguity in the diagnosis of genetic disorders involving the LDHA enzyme. Currently, …
Synthesizing Sentience: Integrating Large Language Models And Autonomous Agents For Emulating Human Cognitive Complexity, Jay Ratican, James Hutson, Daniel Plate
Synthesizing Sentience: Integrating Large Language Models And Autonomous Agents For Emulating Human Cognitive Complexity, Jay Ratican, James Hutson, Daniel Plate
Faculty Scholarship
The paper aims to present a novel methodology for emulating the intricacies of human cognitive complexity by ingeniously integrating large language models with autonomous agents. Grounded in the theoretical framework of the modular mind theory-originally espoused by Fodor and later refined by scholars such as Joanna Bryson—the study seeks to venture into the untapped potential of large language models and autonomous agents in mirroring human cognition. Recent advancements in artificial intelligence, exemplified by the inception of autonomous agents like Age in GPT, auto GPT, and baby AGI, underscore the transformative capacities of these technologies in diverse applications. Moreover, empirical studies …
The Traveling Salesman Problem At Taylor University, Jonathan Jinoo Pawley
The Traveling Salesman Problem At Taylor University, Jonathan Jinoo Pawley
Mathematics Student Projects
What is the shortest route to walk to every residence hall on campus, beginning and ending with the same hall? This question can be considered by applying the Traveling Salesman Problem, an easy to understand yet hard to solve problem in the realm of discrete combinatorial optimization. The Traveling Salesman Problem is useful as an introduction to optimization problems, and it also has immensely practical applications. This paper will serve as an introduction to the computational difficulty of the Traveling Salesman Problem and will also explore various approximation algorithms. We will subsequently apply our new understanding of the theory to …
The Experience Of Awe In Nature And Its Implications For Sustainability, Ella Shriner
The Experience Of Awe In Nature And Its Implications For Sustainability, Ella Shriner
Independent Study Project (ISP) Collection
Awe is a complex emotion and a relatively new field of psychological study. Previous studies have looked at the benefits of spending time in nature including spurring environmental action, and how awe is felt in nature. In this study, I investigate the connection between these two ideas by addressing the questions of how Awe is experienced in the Northern Rivers region of Australia, and whether small and big moments of awe motivate people to take environmental action and connect them to their community and the natural world. For this study, I conducted 15 interviews, collected 51 surveys, and personally explored …
Portugal To New Mexico: Investigating The Applicability Of Syntropic Agriculture To A Semi-Arid Continental Climate, Arielle Nathan
Portugal To New Mexico: Investigating The Applicability Of Syntropic Agriculture To A Semi-Arid Continental Climate, Arielle Nathan
Independent Study Project (ISP) Collection
Conventional industrial agriculture has numerous detrimental effects on the environment including high carbon emissions, pollution and overconsumption of water, soil degradation, and reduction of biodiversity (FAO, 2018). Large-scale alternatives are needed to combat these negative consequences and provide climate solutions. Syntropic Agriculture is a promising farming alternative especially in arid systems subject to degraded soils and desertification. New Mexico is a semi-arid continental climate in a prolonged period of drought and predicted to experience worsening agricultural conditions due to desertification, wildfire intensification, and exacerbated water scarcity. In an area with similar agricultural challenges, a project in Mértola, Portugal (Terra Sintrópica) …
The Uses And Limitations Of Citizen Science For Monitoring The Australian Grey Nurse Shark (Carcharias Taurus) Population, Leah Corckran
The Uses And Limitations Of Citizen Science For Monitoring The Australian Grey Nurse Shark (Carcharias Taurus) Population, Leah Corckran
Independent Study Project (ISP) Collection
iNaturalist is a citizen science photographic database, which is an underutilized resource in photographic identification research studies. Grey nurse sharks are critically endangered and there is a lack of knowledge regarding the estimated population size, longevity, and interactions with fisheries of this species off the coasts of Australia. To determine how photos submitted to iNaturalist can be used in Carcharias taurus conservation, the photographs were evaluated on a number of criteria including: location, date, visibility of spot patterns, visible sex characteristics, and visible injuries. In total, 814 photographs of grey nurse sharks were obtained from the iNaturalist database. Only 23.2% …