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Articles 18001 - 18030 of 302425

Full-Text Articles in Physical Sciences and Mathematics

Liquid Waste Treatment For Sustainable Tapioca Industry: A Comparison Between Biogas And Liquid Sugar, Lilik Sulistyowati, Novi Andareswari, Rifqi Rahmat Hidayatullah, Nurul Amri Komarudin, Yuni Yolanda Jan 2023

Liquid Waste Treatment For Sustainable Tapioca Industry: A Comparison Between Biogas And Liquid Sugar, Lilik Sulistyowati, Novi Andareswari, Rifqi Rahmat Hidayatullah, Nurul Amri Komarudin, Yuni Yolanda

ASEAN Journal on Science and Technology for Development

There have been many studies examining the processing of tapioca wastewater. However, most studies have only researched at a laboratory scale without considering whether the treatment is appropriate. The study's purpose is to compare the processing technology of biogas and liquid sugar using technical, environmental, social, and cost-benefit analysis criteria to determine the appropriate technology to be applied. Literature study, observation, and interviews were used to determine the characteristics of each criterion. Cost-benefit analysis is calculated using the R/C Ratio. Furthermore, priority determination is carried out using the Exponential Comparison Method (MPE) using assessments from environmental and industrial experts on …

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Identification Of Transtensional And Transpressional Features In The Sea Of Marmara Using Onshore-Offshore Seismic And Geodetic Data, Zeynep Coşkun, Ali̇ Pinar Jan 2023

Identification Of Transtensional And Transpressional Features In The Sea Of Marmara Using Onshore-Offshore Seismic And Geodetic Data, Zeynep Coşkun, Ali̇ Pinar

Turkish Journal of Earth Sciences

The scope of the study is to determine transtensional and transpressional features along the North Anatolian Fault beneath the Sea of Marmara, using seismic and geodetic data. For this purpose, focal mechanisms of small size NAF earthquakes, recorded by broadband stations and OBSs, have been derived and used as a tool to identify the transtensional and transpressional features. The focal mechanisms of: (1) small to moderate size events are obtained by the CMT inversion technique of Kuge (2003), using onshore waveform data from 2002?2015, (2) micro-earthquakes are obtained using the technique of Horiuchi (2015), using offshore waveform data recorded by …

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Using Machine Learning To Search For Vector Boson Scattering At The Cms Detector During Run 2, Mark Mekosh Jan 2023

Using Machine Learning To Search For Vector Boson Scattering At The Cms Detector During Run 2, Mark Mekosh

Graduate Research Theses & Dissertations

This work reports on the use of different machine learning (ML) techniques in the search for vector boson scattering (VBS) events in the semileptonic $WV$ channel. VBS is an important process for studying electroweak symmetry breaking (EWSB), the Higgs mechanism, as well as for probing beyond the standard model physics. Boosted decision trees as well as deep neural networks were trained on Monte Carlo simulation samples and applied to 137 fb$^{-1}$ of proton-proton collision data taken from 2016 to 2018 by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) with a center of mass energy $\sqrt{s} …

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Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule Jan 2023

Melt Inclusion Record Of Submarine Caldera Formation On Axial Seamount, Juan De Fuca Ridge, Destiny Kapule

Master's Theses

This study contributes to understanding magmatic processes and the plumbing system of submarine volcanoes before, during, and after caldera formation with the use of melt inclusions (MIs). Major, trace and volatile geochemistry from both olivine and plagioclase-hosted MIs taken from volcaniclastic deposits around Axial Seamount reveal information about the storage conditions, ascent rates and eruption styles of magmas. Magma crystallizes in the subsurface, capturing MIs, and ascends where some host glasses may interact with seawater during eruption. Oversaturation in volatiles and low vesicularity show quick ascent rates. By analyzing chemical data within a pre-existing stratigraphic context this study can assess …

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Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone Jan 2023

Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone

Master's Theses

Predicting future climate change relies on accurate representations of the earth’s surface radiation budget. Complex interactions between large-scale dynamical conditions (e.g., low-pressure systems) and microscale processes (e.g., cloud properties) are key contributors to energy budget biases within global climate models. Proper estimation of cloud microscale processes and their responses to synoptic-scale dynamics will greatly improve the accuracy of the simulated energy balance within global climate models. High-latitudinal clouds have significant influences on the Earth’s radiative balance. We examined observations from two field campaigns at Macquarie Island in the Southern Ocean and McMurdo Station in Antarctica. Two global climate models are …

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Simulations Of Electro-Optically Sampled Arbitrarily Shaped Electron Bunches For Wakefield Acceleratiors, Spencer Joseph Kelham Jan 2023

Simulations Of Electro-Optically Sampled Arbitrarily Shaped Electron Bunches For Wakefield Acceleratiors, Spencer Joseph Kelham

Graduate Research Theses & Dissertations

The measurement and recording of terahertz (THz) electric fields is of specialinterest to particle-accelerator science, as the electric fields of temporally short rela- tivistic electron bunches have frequency components that extend into the THz range. A single-shot, non-destructive measurement of such fields can be made using THz time-domain spectroscopy and electro-optic sampling. At the Argonne Wakefield Ac- celerator, arbitrary electron-bunch shapes are being explored to enhance the efficiency of advanced wakefield-accelerator schemes. In this report, we develop a framework for numerically modeling an implementation of electro-optical sampling – dubbed phase-diversity electro-optic sampling [1] – and apply the model to understand …

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The Standard Model Precision Parameters At 200 Gev, Zamiul Alam Jan 2023

The Standard Model Precision Parameters At 200 Gev, Zamiul Alam

Graduate Research Theses & Dissertations

The Standard Model can be defined quantitatively by running parameters in a mass-independent renormalization scheme at a fixed reference scale. We provide a set of simple interpolation formulas that give the fundamental Lagrangian parameters in the MS-bar scheme at a renormalization scale of 200 GeV, safely above the top-quark mass and suitable for matching to candidate new physics models at very high mass scales using renormalization group equations. These interpolation formulas take as inputs the on-shell experimental quantities and use the best available calculations in the pure MS-bar scheme. They also serve as an accounting of the parametric uncertainties for …

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Climatology Of The Elevated Mixed Layer Over The Contiguous United States And Northern Mexico: 1979–2021, Margo Siciliano Andrews Jan 2023

Climatology Of The Elevated Mixed Layer Over The Contiguous United States And Northern Mexico: 1979–2021, Margo Siciliano Andrews

Graduate Research Theses & Dissertations

Elevated mixed layers (EMLs) are an important influence on the severe convective storm climatology in the contiguous United States (CONUS), playing a role in storm generation, sustenance, and suppression. A function of the topography in the western CONUS and northern Mexico, EMLs are elevated layers of nearly dry adiabatic lapse rates and high potential temperature, typically with a capping inversion at their base. Although it is well-established that EMLs are primarily a warm-season phenomenon most frequent in the Great Plains, no research to date has examined their variability in-depth, or whether they have changed through time. This study creates an …

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Analysis Of Localization Algorithms For Wireless Sensor Networks Using Binary Data, Alexander Joseph Hart Jan 2023

Analysis Of Localization Algorithms For Wireless Sensor Networks Using Binary Data, Alexander Joseph Hart

Graduate Research Theses & Dissertations

The detection, localization, and tracking of environmental and physical conditions can be accomplished using wireless sensor networks (WSNs). Recent advancements in sensors, processors, and wireless communications have improved the quality and acquisition speed of data in WSNs. However, the data gathered by a WSN is inherently random due to component and environmental variations. Thus, statistical signal processing algorithms are needed to analyze the random data in a robust way. Though many algorithms for the analysis of random data are established and available, they are problem-specific and must be adapted to the application. This thesis provides an analysis of established localization …

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Using Seasonal Climate Scenarios In The Forageahead Annual Forage Production Model For Early Drought Impact Assessment, M. Podebradska, B. K. Wylie, M. J. Hayes, D. J. Bathke, Y. A. Bayissa, S. P. Boyte, J. F. Brown, B. D. Wardlow Jan 2023

Using Seasonal Climate Scenarios In The Forageahead Annual Forage Production Model For Early Drought Impact Assessment, M. Podebradska, B. K. Wylie, M. J. Hayes, D. J. Bathke, Y. A. Bayissa, S. P. Boyte, J. F. Brown, B. D. Wardlow

School of Natural Resources: Faculty Publications

No abstract provided.

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Spatiotemporal Patterns Of Wolves And Sympatric Predators And Prey Relative To Human Disturbance In Northwestern Greece, M. Petridou, J. F. Benson, O. Gimenez, K. Kati Jan 2023

Spatiotemporal Patterns Of Wolves And Sympatric Predators And Prey Relative To Human Disturbance In Northwestern Greece, M. Petridou, J. F. Benson, O. Gimenez, K. Kati

School of Natural Resources: Faculty Publications

No abstract provided.

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The Influence Of Place Attachment On Farmers’ Succession Plans: A Mixed Methods Study, M. E. Burbach, S. M. Kennedy, S. J. Kunert Jan 2023

The Influence Of Place Attachment On Farmers’ Succession Plans: A Mixed Methods Study, M. E. Burbach, S. M. Kennedy, S. J. Kunert

School of Natural Resources: Faculty Publications

No abstract provided.

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Foundational Conditions Enabling Participatory River Management In Watersheds Of Two Regulatorily Disparate States: A Mixed Methods Study, M. E. Burbach, S. Kennedy, W. M. Eaton, K. J. Brasier Jan 2023

Foundational Conditions Enabling Participatory River Management In Watersheds Of Two Regulatorily Disparate States: A Mixed Methods Study, M. E. Burbach, S. Kennedy, W. M. Eaton, K. J. Brasier

School of Natural Resources: Faculty Publications

No abstract provided.

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A Survey Of Wearable Devices Pairing Based On Biometric Signals, Jafar Pourbemany, Ye Zhu, Riccardo Bettati Jan 2023

A Survey Of Wearable Devices Pairing Based On Biometric Signals, Jafar Pourbemany, Ye Zhu, Riccardo Bettati

Electrical and Computer Engineering Faculty Publications

With the rapid growth of wearable devices, more applications require direct communication between wearable devices. To secure the communication between wearable devices, various pairing protocols have been proposed to generate common keys for encrypting the communication. Since the wearable devices are attached to the same body, the devices can generate common keys based on the same context by utilizing onboard sensors to capture a common biometric signal such as body motion, gait, heartbeat, respiration, and EMG signals. The context-based pairing does not need prior information to generate common keys. As context-based pairing does not need any human involvement in the …

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Network Intrusion Detection With Two-Phased Hybrid Ensemble Learning And Automatic Feature Selection, Asanka Kavinda Mananayaka, Sunnie S. Chung Jan 2023

Network Intrusion Detection With Two-Phased Hybrid Ensemble Learning And Automatic Feature Selection, Asanka Kavinda Mananayaka, Sunnie S. Chung

Electrical and Computer Engineering Faculty Publications

The use of network connected devices has grown exponentially in recent years revolutionizing our daily lives. However, it has also attracted the attention of cybercriminals making the attacks targeted towards these devices increase not only in numbers but also in sophistication. To detect such attacks, a Network Intrusion Detection System (NIDS) has become a vital component in network applications. However, network devices produce large scale high-dimensional data which makes it difficult to accurately detect various known and unknown attacks. Moreover, the complex nature of network data makes the feature selection process of a NIDS a challenging task. In this study, …

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Sediment Metagenomics Reveals The Impacts Of Poultry Industry Wastewater On Antibiotic Resistance And Nitrogen Cycling Genes In Tidal Creek Ecosystems, Miguel Semedo, Bongkeun Song Jan 2023

Sediment Metagenomics Reveals The Impacts Of Poultry Industry Wastewater On Antibiotic Resistance And Nitrogen Cycling Genes In Tidal Creek Ecosystems, Miguel Semedo, Bongkeun Song

VIMS Articles

The intensification of the poultry industry may lead to the increased spread of antibiotic resistance genes (ARGs) in the environment. However, the impacts of wastewater discharge from poultry processing plants on the sediment resistome are relatively unexplored. Furthermore, its relationships with important biogeochemical pathways, such as the N cycle, are virtually unknown. The overall objective of this study was to examine the abundance and diversity of antibiotic resistance and N cycling genes in sediment microbial communities impacted by poultry industry wastewater. We performed a metagenomic investigation of sediments in an impacted and a reference tidal creek. We also quantified the …

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The Roles Of Tidal Marshes In The Estuarine Biochemical Processes: A Numerical Modeling Study, Xun Cai Jan 2023

The Roles Of Tidal Marshes In The Estuarine Biochemical Processes: A Numerical Modeling Study, Xun Cai

VIMS Articles

Observations suggest that the existence of tidal marsh can alter the oxygen and nutrient dynamics in adjacent water bodies, but assessing the impacts of large tidal marshes on an estuary is challenging. In this study, we use a modeling approach to investigate the roles of tidal marshes on the estuarine biochemical processes. The marsh model, which simulates the ecological functions of marshes at seasonal and annual time-scales, is embedded inside an unstructured-grid three-dimensional hydrodynamic and eutrophication model (SCHISM-ICM). This modeling system simulates the growth and metabolism of the tidal marshes and links biological processes to nutrient dynamics in the water …

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Scalable Quantum Edge Detection Method For D-Nisq Imaging Simulations: Use Cases From Nuclear Physics And Medical Image Computing, Emmanuel Billias, Nikos Chrisochoides Jan 2023

Scalable Quantum Edge Detection Method For D-Nisq Imaging Simulations: Use Cases From Nuclear Physics And Medical Image Computing, Emmanuel Billias, Nikos Chrisochoides

The Graduate School Posters

Edge Detection is one of the computationally intensive modules in image analysis. It is used to find important landmarks by identifying a significant change (or “edge”) between pixels and voxels. We present a hybrid Quantum Edge Detection method by improving three aspects of an existing widely referenced implementation, which for our use cases generates incomprehensible results for the type and size of images we are required to process. Our contributions are in the pre- and post-processing (i.e., classical phase) and a quantum edge detection circuit: (1) we use space- filling curves to eliminate image artifacts introduced by the image decomposition, …

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Exploring Human Perception While Reading Fake And Real News Articles, Yasasi Abeysinghe, Gavindya Jayawardana, Autumn Woodson, Efe Bozkir, Enkelejda Kasneci, Andrew Duchowski, Sampath Jayarathna Jan 2023

Exploring Human Perception While Reading Fake And Real News Articles, Yasasi Abeysinghe, Gavindya Jayawardana, Autumn Woodson, Efe Bozkir, Enkelejda Kasneci, Andrew Duchowski, Sampath Jayarathna

College of Sciences Posters

With the increased spread of misinformation on online platforms and the popularity of AI-generated text, there is a critical need to detect human perception regarding the truthfulness of news. Users’ believability in a news item influences the reading and sharing of that news. Hence, in order to reduce the spread of fake news online, it is important to understand how users' engagement with fake and real news and users' perceived believability impact their behavioral and physiological factors. In this work, we study human eye movements based on the truthfulness of news and their perceived believability. Using the publicly available FakeNewsPerception …

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Metaenhance: Metadata Quality Improvement For Electronic Theses And Dissertations, Muntabir H. Choudhury, Lamia Salsabil, Himarsha R. Jayanetti, Jian Wu Jan 2023

Metaenhance: Metadata Quality Improvement For Electronic Theses And Dissertations, Muntabir H. Choudhury, Lamia Salsabil, Himarsha R. Jayanetti, Jian Wu

College of Sciences Posters

Metadata quality is crucial for digital objects to be discovered through digital library interfaces. Although DL systems have adopted Dublin Core to standardize metadata formats (e.g., ETD-MS v1.11), the metadata of digital objects may contain incomplete, inconsistent, and incorrect values [1]. Most existing frameworks to improve metadata quality rely on crowdsourced correction approaches, e.g., [2]. Such methods are usually slow and biased toward documents that are more discoverable by users. Artificial intelligence (AI) based methods can be adopted to overcome this limit by automatically detecting, correcting, and canonicalizing the metadata, featuring quick and unbiased responses to document metadata. …

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X-Disetrac: Distributed Eye-Tracking With Extended Realities, Bhanuka Mahanama, Sampath Jayarathna Jan 2023

X-Disetrac: Distributed Eye-Tracking With Extended Realities, Bhanuka Mahanama, Sampath Jayarathna

College of Sciences Posters

Humans use heterogeneous collaboration mediums such as in-person, online, and extended realities for day-to-day activities. Identifying patterns in viewpoints and pupillary responses (a.k.a eye-tracking data) provide informative cues on individual and collective behavior during collaborative tasks. Despite the increasing ubiquity of these different mediums, the aggregation and analysis of eye-tracking data in heterogeneous collaborative environments remain unexplored. Our study proposes X-DisETrac: Extended Distributed Eye Tracking, a versatile framework for eye tracking in heterogeneous environments. Our approach tackles the complexity by establishing a platform-agnostic communication protocol encompassing three data streams to simplify data aggregation and …

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199958, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199958, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

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199959, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199959, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199956, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199956, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199961, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199961, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199960, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199960, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199966, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199966, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199967, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199967, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199968, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199968, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

199973, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool Jan 2023

199973, David Kerstetter, Sean T. Wilms, Zachery Young, Brittany N. Savercool

PERC Post-Release Swordfish Survival sPAT Data

Datasets (and supporting material) from 28 sPAT electronic tags deployed on undersized swordfish as part of the MSMS thesis project of Zachery Young.

Go to article

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