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Strategies For Identifying Important Residues In The Trna Modification Protein Trm732, Alex K. Mullins, Natalie N. Creech, Holly Funk, Michael Guy 2023 Northern Kentucky University

Strategies For Identifying Important Residues In The Trna Modification Protein Trm732, Alex K. Mullins, Natalie N. Creech, Holly Funk, Michael Guy

Posters-at-the-Capitol

Post-transcriptional tRNA modifications are required for efficient protein translation. In yeast, the Trm7 methyltransferase forms a complex with Trm732 to modify tRNA at position 32. In humans, lack of the human homolog for Trm7, FTSJ1, causes intellectual disability. Little is known about the function of Trm732, although we have shown that one conserved motif in Trm732 is important for tRNA modification. We have identified other residues important for function using two strategies. First, we compared Trm732 proteins of different organisms using protein alignments to determine conserved regions to mutate for testing. We have generated four new Trm732 variants and have …


Lesker Pvd75 E-Beam/Thermal Evaporator (Pvd-02) Standard Operating Procedure, David S. Barth, Jason A. Röhr 2023 University of Pennsylvania

Lesker Pvd75 E-Beam/Thermal Evaporator (Pvd-02) Standard Operating Procedure, David S. Barth, Jason A. Röhr

Standard Operating Procedures

Standard Operating Procedure for the Lesker PVD75 E-beam/Thermal Evaporator (PVD-02) located at the Quattrone Nanofabrication Facility within the Singh Center for Nanotechnology at the University of Pennsylvania


Final Butte Priority Soils Operable Unit (Bpsou) 2021 Unreclaimed Sites Sampling – Ur-39 Site Evaluation Summary Report., Pioneer Technical Services, Inc. 2023 Montana Tech Library

Final Butte Priority Soils Operable Unit (Bpsou) 2021 Unreclaimed Sites Sampling – Ur-39 Site Evaluation Summary Report., Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Balancing Renewable Energy And River Resources By Moving From Individual Assessments Of Hydropower Projects To Energy System Planning, Jeffrey J. Opperman, Juan Pablo Carvallo, Rafael Kelman, Rafael J. P. Schmitt, Rafael M. Almeida, Emily Chapin, Alexander Flecker, Marc Goichot, Guenther Guenther Grill, Julien J. Harou 2023 The University of Texas Rio Grande Valley

Balancing Renewable Energy And River Resources By Moving From Individual Assessments Of Hydropower Projects To Energy System Planning, Jeffrey J. Opperman, Juan Pablo Carvallo, Rafael Kelman, Rafael J. P. Schmitt, Rafael M. Almeida, Emily Chapin, Alexander Flecker, Marc Goichot, Guenther Guenther Grill, Julien J. Harou

School of Earth, Environmental, and Marine Sciences Faculty Publications and Presentations

As governments and non-state actors strive to minimize global warming, a primary strategy is the decarbonization of power systems which will require a massive increase in renewable electricity generation. Leading energy agencies forecast a doubling of global hydropower capacity as part of that necessary expansion of renewables. While hydropower provides generally low-carbon generation and can integrate variable renewables, such as wind and solar, into electrical grids, hydropower dams are one of the primary reasons that only one-third of the world’s major rivers remain free-flowing. This loss of free-flowing rivers has contributed to dramatic declines of migratory fish and sediment delivery …


Measurement Of Near-Threshold Proton Branching Ratios In 31s Important For Novae, Sudarsan Balakrishnan 2023 Louisiana State University

Measurement Of Near-Threshold Proton Branching Ratios In 31s Important For Novae, Sudarsan Balakrishnan

LSU Doctoral Dissertations

Classical novae are stellar explosions that contribute to the nucleosynthesis of isotopes on the proton-rich side of the valley of stability up to 40Ca. In ONe novae, the incompletely understood reaction rate of 30P(p,γ)31S is known to strongly influence the production rate of several stable isotopes such as 30Si, 31P, and 32,33,34S. A precise measurement of this reaction rate has several potential implications towards matching astrophysical observables to the physical composition of the nova site -- the observed elemental abundance ratios of O/S and S/Al have been suggested as useful `thermometers' to gauge …


Uniformity Test Based On The Empirical Bernstein Distribution, Ran Sun 2023 University of Windsor

Uniformity Test Based On The Empirical Bernstein Distribution, Ran Sun

Major Papers

In this paper, we firstly review the origin of Bernstein polynomial and the various application of it. Then we review the importance of goodness-of-fit test, especially the uniformity test, and we examine lots of different test statistics proposed by far. After that we suggest two new statistics for testing the uniformity. These two statistics are based on Komogorov-Smirnov test type and Cramér-Von Mises test type, respectively. Also we embed Bernstein polynomial into those test type and take advantage of great approximation performance of this polynomial. Finally, we run a Monte-Carlo simulation to compare the performance of our statistics to those …


Optimal Speed Of A Machine In An Assembly Line Using The Continuous Time Markov Chain Rate Matrix, Chandi Darshani Rupasinghe 2023 University of Windsor

Optimal Speed Of A Machine In An Assembly Line Using The Continuous Time Markov Chain Rate Matrix, Chandi Darshani Rupasinghe

Major Papers

The optimal speed of a machine in an assembly line is determined using a Markov decision process type model. We develop the rate matrix that represents the inter-event time of a machine, either repair time or time to breakdown, as a function of speed. We consider the rate of time to breakdown with a variety of functions of speed. We find limiting probabilities and express profit in terms of these probabilities. We then find the optimal speed to maximize profit. Further, we assume an underlying function of speed and simulate data using R. From the simulated data, we estimate the …


A Dynamical System Model Of Dengue Transmission For Rio De Janeiro, Brazil, Gregory Schmidt, Benjamin Whipple, Vinodh Chellamuthu, Xiaoxia Xie 2023 Utah Tech University

A Dynamical System Model Of Dengue Transmission For Rio De Janeiro, Brazil, Gregory Schmidt, Benjamin Whipple, Vinodh Chellamuthu, Xiaoxia Xie

Spora: A Journal of Biomathematics

The dengue virus is a serious concern in many parts of the world, including Brazil. As data indicates, a prominent vector for dengue is the mosquito Aedes aegypti. By using the dengue incidence records from the Brazilian SINAN database, we estimate the population of A. aegypti within the city of Rio de Janeiro. Using historical climate data for Rio de Janeiro and the computed population estimates, we extend an existing model for the population dynamics of mosquitoes to incorporate precipitation in aquatic stages of development for A. aegypti.


Towards A Framework For Privacy-Preserving Pedestrian Analysis, Anil Kunchala, Mélanie Bouroche, Bianca Schoen-Phelan 2023 Technological University Dublin

Towards A Framework For Privacy-Preserving Pedestrian Analysis, Anil Kunchala, Mélanie Bouroche, Bianca Schoen-Phelan

Conference papers

The design of pedestrian-friendly infrastructures plays a crucial role in creating sustainable transportation in urban environments. Analyzing pedestrian behaviour in response to existing infrastructure is pivotal to planning, maintaining, and creating more pedestrian-friendly facilities. Many approaches have been proposed to extract such behaviour by applying deep learning models to video data. Video data, however, includes an broad spectrum of privacy-sensitive information about individuals, such as their location at a given time or who they are with. Most of the existing models use privacy-invasive methodologies to track, detect, and analyse individual or group pedestrian behaviour patterns. As a step towards privacy-preserving …


Hs-Integral And Eisenstein Integral Mixed Circulant Graphs, Monu Kadyan, Bikash Bhattacharjya 2023 Indian Institute of Technology Guwahati

Hs-Integral And Eisenstein Integral Mixed Circulant Graphs, Monu Kadyan, Bikash Bhattacharjya

Theory and Applications of Graphs

A mixed graph is called \emph{second kind hermitian integral} (\emph{HS-integral}) if the eigenvalues of its Hermitian-adjacency matrix of the second kind are integers. A mixed graph is called \emph{Eisenstein integral} if the eigenvalues of its (0, 1)-adjacency matrix are Eisenstein integers. We characterize the set $S$ for which a mixed circulant graph $\text{Circ}(\mathbb{Z}_n, S)$ is HS-integral. We also show that a mixed circulant graph is Eisenstein integral if and only if it is HS-integral. Further, we express the eigenvalues and the HS-eigenvalues of unitary oriented circulant graphs in terms of generalized M$\ddot{\text{o}}$bius function.


Crow Search Algorithm With Time Varying Flight Length Strategies For Feature Selection, Mohammed Abdullahi, Abdulhameed Adamu, Ibrahim Hayatu Hassan 2023 Ahmadu Bello University, Zaria, Nigeria

Crow Search Algorithm With Time Varying Flight Length Strategies For Feature Selection, Mohammed Abdullahi, Abdulhameed Adamu, Ibrahim Hayatu Hassan

Future Computing and Informatics Journal

Feature Selection (FS) is an efficient technique use to get rid of irrelevant, redundant and noisy attributes in high dimensional datasets while increasing the efficacy of machine learning classification. The CSA is a modest and efficient metaheuristic algorithm which has been used to overcome several FS issues. The flight length (fl) parameter in CSA governs crows' search ability. In CSA, fl is set to a fixed value. As a result, the CSA is plagued by the problem of being hoodwinked in local minimum. This article suggests a remedy to this issue by bringing five new concepts of time dependent fl …


Predicting Young’S Modulus Of Indian Coal Measure Rock Using Multiple Regression And Artificial Neutral Network, Sayantan Chakraborty, Rohan Bisai, Rohit Roy, Sathish Kumar Palaniappan, Samir Kumar Pal, Karanam Uma Maheshwar Rao 2023 Department of Mining Engineering, Indian Institute of TechnologyKharagpur, India

Predicting Young’S Modulus Of Indian Coal Measure Rock Using Multiple Regression And Artificial Neutral Network, Sayantan Chakraborty, Rohan Bisai, Rohit Roy, Sathish Kumar Palaniappan, Samir Kumar Pal, Karanam Uma Maheshwar Rao

Journal of Sustainable Mining

Accurate information on Young’s modulus (E) is required for simulating rock deformation in mines; on the other hand, it is very cumbersome to obtain in the laboratory and collecting drilled cores in sufficient amounts, especially in the case of soft rocks, is quite impossible. Empirical equations were deducted for E from easily determinable rock properties, and the final model was selected through different statistical strength parameter tests. The generalization of the equation was verified through the normal distribution tests of residues of the equation. R2 came to be 0.609 and was validated using an artificial neural network with an improved …


Gravity And Electrostatic Separation Of Unburned Coal From A Selected Fly Ash, Krzysztof Wierzchowski, Agnieszka Klupa, Barbara Białecka, Joanna Całus Moszko 2023 Central Mining Institute, Department of Environmental Monitoring, Poland

Gravity And Electrostatic Separation Of Unburned Coal From A Selected Fly Ash, Krzysztof Wierzchowski, Agnieszka Klupa, Barbara Białecka, Joanna Całus Moszko

Journal of Sustainable Mining

Unburned coal grains make it difficult to use fly ash economically, which causes energy losses in the fuel. The article presents the possibilities of separating unburned coal from selected fly ash. In order to assess the possibility of separation of unburned carbon, the analysis of grain density and ash composition was used. Unburned coal was separated by four methods – one wet gravity and three dry methods. It has been found that despite very fine ash grains, the quality and quantity of separation products are significantly dependent on the separation method used and the separated grains’ qualitative characteristics. The analysis …


Exploring The Characterization, Liberation And Flotation Response Of A Nigerian Low-Grade Copper Ore, Willie Nheta, Omoyemi O. Ola-Omole 2023 Mineral Processing Research Centre, Department of Metallurgy, University of Johannesburg, Doornfontein Campus, P O Box 17911, Johannesburg 2028, South Africa

Exploring The Characterization, Liberation And Flotation Response Of A Nigerian Low-Grade Copper Ore, Willie Nheta, Omoyemi O. Ola-Omole

Journal of Sustainable Mining

This study explores the characterization, liberation and flotation response of low-grade copper ore from Anka area, Zamfara state Nigeria. The ore was crushed, milled and sieved in accordance with BS 410 standard. It was characterized with XRD, XRF, SEM-EDS and AAS. Froth flotation was carried out with varying %solids, pH, retention time and collector dosages using SEX and sodium oleate. Particle size distribution of the ore shows its economic liberation between -150 and +106 µm while 80% passing corresponds to 175.7 µm using the Gaudin Schuhmann equation. However, according to metallurgical balance calculation, 63 µm proved to have the highest …


Production Management System In A Modern Coal And Coke Company Based On The Demand And Quality Of The Exploited Raw Material In The Aspect Of Building A Service-Oriented Architecture, Artur Dyczko 2023 Polish Academy of Sciences, Mineral and Energy Economy Research Institute, Kraków, Poland, 0000-0001-6387-5339

Production Management System In A Modern Coal And Coke Company Based On The Demand And Quality Of The Exploited Raw Material In The Aspect Of Building A Service-Oriented Architecture, Artur Dyczko

Journal of Sustainable Mining

The paper deals with the implementation of the JSW Capital Group’s (Poland) Demand and Quality Driven Production Management System (SPPJ – System Zarządzania Produkcją oparty na Popycie i Jakości) using a service-oriented architecture (SOA). The main components of the SPPJ architecture have been characterized, and the scope of their integration has been defined. The individual parts in the first area, i.e. quality management, have been described in detail. Due to the extensive nature of the issue, components in other areas, i.e. planning and scheduling, coal extraction and processing, coke production, as well as sales and logistics, have only been signalled. …


Spectral Sequences And Khovanov Homology, Zachary J. Winkeler 2023 Dartmouth College

Spectral Sequences And Khovanov Homology, Zachary J. Winkeler

Dartmouth College Ph.D Dissertations

In this thesis, we will focus on two main topics; the common thread between both will be the existence of spectral sequences relating Khovanov homology to other knot invariants. Our first topic is an invariant MKh(L) for links in thickened disks with multiple punctures. This invariant is different from but inspired by both the Asaeda-Pryzytycki-Sikora (APS) homology and its specialization to links in the solid torus. Our theory will be constructed from a Z^n-filtration on the Khovanov complex, and as a result we will get various spectral sequences relating MKh(L) to Kh(L), AKh(L), and APS(L). Our …


Green And Non-Green Extraction Of Eugenol From Cloves Using Steam Distillation, Bek Yuldashbaev 2023 Belmont University

Green And Non-Green Extraction Of Eugenol From Cloves Using Steam Distillation, Bek Yuldashbaev

Science University Research Symposium (SURS)

Eugenol is commonly found in many plants such as cloves. It is one of the most used natural anesthetics in dentistry. Indonesia is one of the places indigenous to clove trees. Its people take advantage of the pain numbing properties in cloves to aid their tooth pain. The extraction of eugenol itself can be performed through steam distillation. With the process of distillation, the steam carries the oils extracted from the clove buds and recondenses into a cloudy distillate containing polar and non-polar molecules. To separate the eugenol from the distillate, green and non-green solvents were used. The green solvent …


Leveraging A Machine Learning Based Predictive Framework To Study Brain-Phenotype Relationships, Sage Hahn 2023 University of Vermont

Leveraging A Machine Learning Based Predictive Framework To Study Brain-Phenotype Relationships, Sage Hahn

Graduate College Dissertations and Theses

An immense collective effort has been put towards the development of methods forquantifying brain activity and structure. In parallel, a similar effort has focused on collecting experimental data, resulting in ever-growing data banks of complex human in vivo neuroimaging data. Machine learning, a broad set of powerful and effective tools for identifying multivariate relationships in high-dimensional problem spaces, has proven to be a promising approach toward better understanding the relationships between the brain and different phenotypes of interest. However, applied machine learning within a predictive framework for the study of neuroimaging data introduces several domain-specific problems and considerations, leaving the …


Improving Developers' Understanding Of Regex Denial Of Service Tools Through Anti-Patterns And Fix Strategies, Sk Adnan Hassan, Zainab Aamir, Dongyoon Lee, James C. Davis, Francisco Servant 2023 Virginia Tech

Improving Developers' Understanding Of Regex Denial Of Service Tools Through Anti-Patterns And Fix Strategies, Sk Adnan Hassan, Zainab Aamir, Dongyoon Lee, James C. Davis, Francisco Servant

Department of Electrical and Computer Engineering Faculty Publications

Regular expressions are used for diverse purposes, including input validation and firewalls. Unfortunately, they can also lead to a security vulnerability called ReDoS (Regular Expression Denial of Service), caused by a super-linear worst-case execution time during regex matching. Due to the severity and prevalence of ReDoS, past work proposed automatic tools to detect and fix regexes. Although these tools were evaluated in automatic experiments, their usability has not yet been studied; usability has not been a focus of prior work. Our insight is that the usability of existing tools to detect and fix regexes will improve if we complement them …


Blue Carbon Science, Management And Policy Across A Tropical Urban Landscape, Daniel A. Friess, Yasmine M. Gatt, Tze Kwan Fung, Jahson B. Alemu I, Natasha Bhatia, Rebecca Case, Siew Chin Chua, Danwei Huang, Valerie Kwan, Kiah Eng Lim, Yudhishthra Nathan, Yan Xiang Ow, Daniel Saavedra-Hortua, Taylor M. Sloey, Erik S. Yando, Hassan Ibrahim, Lian Pin Koh, Jun Yu Puah, Serena Lay-Ming Teo, Karenne Tun, Lynn Wei Wong, Siti Maryam Yaakub 2023 Old Dominion University

Blue Carbon Science, Management And Policy Across A Tropical Urban Landscape, Daniel A. Friess, Yasmine M. Gatt, Tze Kwan Fung, Jahson B. Alemu I, Natasha Bhatia, Rebecca Case, Siew Chin Chua, Danwei Huang, Valerie Kwan, Kiah Eng Lim, Yudhishthra Nathan, Yan Xiang Ow, Daniel Saavedra-Hortua, Taylor M. Sloey, Erik S. Yando, Hassan Ibrahim, Lian Pin Koh, Jun Yu Puah, Serena Lay-Ming Teo, Karenne Tun, Lynn Wei Wong, Siti Maryam Yaakub

Biological Sciences Faculty Publications

The ability of vegetated coastal ecosystems to sequester high rates of “blue” carbon over millennial time scales has attracted the interest of national and international policy makers as a tool for climate change mitigation. Whereas focus on blue carbon conservation has been mostly on threatened rural seascapes, there is scope to consider blue carbon dynamics along highly fragmented and developed urban coastlines. The tropical city state of Singapore is used as a case study of urban blue carbon knowledge generation, how blue carbon changes over time with urban development, and how such knowledge can be integrated into urban planning alongside …


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