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Articles 42541 - 42570 of 291657
Full-Text Articles in Physical Sciences and Mathematics
Using Augmented Reality For Geometry Learning: Indonesian Elementary School Teachers' Experiences, Asep Nuryadin, Karlimah Karlimah, Dindin Abdul Muiz Lidinillah, Ika Fitri Apriani, Ikairn Rachmawati Putri, Lilis Susilawati, Ginna Islamiati, Dede Nurhidayah
Using Augmented Reality For Geometry Learning: Indonesian Elementary School Teachers' Experiences, Asep Nuryadin, Karlimah Karlimah, Dindin Abdul Muiz Lidinillah, Ika Fitri Apriani, Ikairn Rachmawati Putri, Lilis Susilawati, Ginna Islamiati, Dede Nurhidayah
Jurnal Pendidikan Sains
This study aims to discover Indonesian elementary school teachers' experiences (n = 257) of using Augmented Reality (AR) for learning, especially related to one of the topics in mathematics learning, namely, geometry. AR is considered to be an alternative instructional media that can be utilized for teaching geometry, including the topic of three-dimensional shapes. A questionnaire consisting of both close-ended and open-ended questions was used to collect data in this study. This study has successfully revealed teachers' use of digital instructional media during the COVID-19 pandemic, their familiarity with AR, frequency of AR use for geometry learning, and challenges in …
Epistemological Obstacles Of Students In Accomplishing Hots Tests According To Field-Dependent Cognitive Style, Widi Candika Pakaya, Fattah Hanurawan
Epistemological Obstacles Of Students In Accomplishing Hots Tests According To Field-Dependent Cognitive Style, Widi Candika Pakaya, Fattah Hanurawan
Jurnal Pendidikan Sains
The main goal of this study is to describe the epistemological obstacles faced by students with field-dependent cognitive styles when attempting to solve HOTS questions. This study uses a qualitative-descriptive methodology. The instruments used are cognitive style tests and HOTS questions. Data is collected through interviews and student work. The research subjects were two participants in third-semester PGSD students at Universitas Negeri Gorontalo. In this study, the data were analyzed by identifying the answers of two respondents to the indicators of epistemological barriers that had been done by the students and then interviewing the respondents. The results of this study …
Ecoliteracy Analysis And Science Teaching Materials: A Survey In Junior High Schools, Ghina Nisrina Ramadhanti, Indarini Dwi Pursitasari, Indriyani Rachman
Ecoliteracy Analysis And Science Teaching Materials: A Survey In Junior High Schools, Ghina Nisrina Ramadhanti, Indarini Dwi Pursitasari, Indriyani Rachman
Jurnal Pendidikan Sains
The study aims to analyze ecoliteracy and the teaching materials required for 21st century learning these days. The study employs the survey method by involving population of 104 junior high school students in grade VIII in Bogor City. The data are collected using ecoliteracy tests and interviews and analyzed using descriptive statistics techniques. The results showed that 48 students (46.15%) fall into the category of lacking ecoliteracy cognitive competence. The results of the questionnaire on the competence of attitudes, skills, and human relations with nature fall into the medium category. Therefore, in order to support the improvement of students’ ecoliteracy, …
The Influence Of The 5e Learning Cycle Strategy With A Link Map On Students' Mastery Of Physics Concepts And Science Process Skills, Dian Farida Rosanti, Markus Diantoro, Sentot Kusairi, Erni Yulianti
The Influence Of The 5e Learning Cycle Strategy With A Link Map On Students' Mastery Of Physics Concepts And Science Process Skills, Dian Farida Rosanti, Markus Diantoro, Sentot Kusairi, Erni Yulianti
Jurnal Pendidikan Sains
Link maps help students correlate interconcepts in order to facilitate students mastery of the concept learned. The researcher accompanied the link map in learning to find out its effect on concept mastery and students science process skills. This study used a quasi-experimental research design by providing a posttest only for the control group. The sample consisted of two classes, divided into an experimental class and a control class. The experimental class was taught using the 5E learning cycle strategy accompanied by a link map, and the control class was taught using the 5E learning cycle strategy only. The results of …
2023 March 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
2023 March 30 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University
Tennessee Climate Office Weekly Drought Summaries
No abstract provided.
Air Pollution In South Texas: A Short Communication Of Health Risks And Implications, Sai Deepak Pinakana, Esmeralda Mendez, Ismaila Ibrahim, Md. Salahuddin Majumder, Amit U. Raysoni
Air Pollution In South Texas: A Short Communication Of Health Risks And Implications, Sai Deepak Pinakana, Esmeralda Mendez, Ismaila Ibrahim, Md. Salahuddin Majumder, Amit U. Raysoni
School of Earth, Environmental, & Marine Sciences Faculty Publications
Air pollution is a major public health concern. The region of South Texas in the United States has experienced high levels of air pollution in recent years due to an increase in population, cross-border trade between the U.S.A. and Mexico, and high vehicular activity. This review assesses the relationships between human health and air pollution in South Texas. A thorough scientific search was performed using PubMed, Science Direct, and ProQuest, with most of the literature focusing on the source apportionment of particulate matter that is 2.5 microns or less in width (PM2.5), Carbon Dioxide (CO2), carbon monoxide (CO), Black Carbon …
Continuous Semi-Supervised Nonnegative Matrix Factorization, Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
Continuous Semi-Supervised Nonnegative Matrix Factorization, Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
School of Mathematical & Statistical Sciences Faculty Publications
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank. In certain applications it is desirable to extract topics and use them to predict quantitative outcomes. In this paper, we show Nonnegative Matrix Factorization can be combined with regression on a continuous response variable by minimizing a penalty function that adds a weighted regression error to a matrix factorization error. We show theoretically that as the weighting increases, the regression error in training …
Kinetic Studies On The 2-Oxoglutarate/Fe(Ii)-Dependent Nucleic Acid Modifying Enzymes From The Alkb And Tet Families, Zhiyuan Peng, Jian Ma, Christo Christov, Tatyana Karabencheva-Christova, Nicolai Lehnert, Deyu Li
Kinetic Studies On The 2-Oxoglutarate/Fe(Ii)-Dependent Nucleic Acid Modifying Enzymes From The Alkb And Tet Families, Zhiyuan Peng, Jian Ma, Christo Christov, Tatyana Karabencheva-Christova, Nicolai Lehnert, Deyu Li
Michigan Tech Publications
Nucleic acid methylations are important genetic and epigenetic biomarkers. The formation and removal of these markers is related to either methylation or demethylation. In this review, we focus on the demethylation or oxidative modification that is mediated by the 2-oxoglutarate (2-OG)/Fe(II)-dependent AlkB/TET family enzymes. In the catalytic process, most enzymes oxidize 2-OG to succinate, in the meantime oxidizing methyl to hydroxymethyl, leaving formaldehyde and generating demethylated base. The AlkB enzyme from Escherichia coli has nine human homologs (ALKBH1-8 and FTO) and the TET family includes three members, TET1 to 3. Among them, some enzymes have been carefully studied, but for …
Euler Archive Spotlight, Erik R. Tou
Euler Archive Spotlight, Erik R. Tou
Euleriana
A survey of two translations posted to the Euler Archive in 2022.
Euler And Venus' Suspicious Moon, Michael P. Saclolo
Euler And Venus' Suspicious Moon, Michael P. Saclolo
Euleriana
This is a brief note on Leonhard Euler's published German translation from the French of two memoirs read by Armand Henri Baudouin de Guémadeuc to the Paris Academy of Sciences in 1761 and published the same year. The memoirs report on observations made of the planet Venus, performed in Limoges, France by Jacques Montaigne, where he claimed to have detected a moon orbiting the Morning and Evening Star.
Euler And The Duplication Formula For The Gamma-Function, Alexander Aycock
Euler And The Duplication Formula For The Gamma-Function, Alexander Aycock
Euleriana
We show how the formulas in Euler’s paper "Variae considerationes circa series
hypergeometricas" [ 4] imply Legendre’s duplication formula for the Γ-function. This
paper can be seen as an Addendum to [2].
Euler Found The First Binary Digit Extraction Formula For Π In 1779, Nick Craig-Wood
Euler Found The First Binary Digit Extraction Formula For Π In 1779, Nick Craig-Wood
Euleriana
In 1779 Euler discovered two formulas for π which can be used to calculate any binary digit of π without calculating the previous digits. Up until now it was believed that the first formula with the correct properties (known as a BBP-type formula) for this calculation was published by Bailey, Borwein and Plouffe in 1997.
Analytical Observations (Translation Of E326), Cynthia Huffman Ph.D.
Analytical Observations (Translation Of E326), Cynthia Huffman Ph.D.
Euleriana
Euler, in this publication with Eneström number E326, provides an induction fallacy which arises from analyzing a particular sequence. Euler wrote this work in 1763, one of only two papers he wrote on sequences and/or series in the 1760’s, out of a total of 79 papers on series during his career. His goal in E326 is to investigate the middle terms in the expansion of powers of quadratic trinomial expressions, beginning with the specific simple quadratic , before considering the general quadratic .
The induction fallacy shows up during the analysis of the simple case when Euler first finds an …
Euler's Anticipations, Christopher Goff, Erik Tou
Euler's Anticipations, Christopher Goff, Erik Tou
Euleriana
Welcome to Volume 3 of Euleriana. This issue highlights occasions where Euler's work anticipated future results from other others, sometimes by decades or even centuries!
Ten Years After Imagenet: A 360° Perspective On Artificial Intelligence, Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael Wooldridge, Ting Yu
Ten Years After Imagenet: A 360° Perspective On Artificial Intelligence, Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael Wooldridge, Ting Yu
Natural Language Processing Faculty Publications
It is 10 years since neural networks made their spectacular comeback. Prompted by this anniversary, we take a holistic perspective on artificial intelligence (AI). Supervised learning for cognitive tasks is effectively solved - provided we have enough high-quality labelled data. However, deep neural network models are not easily interpretable, and thus the debate between blackbox and whitebox modelling has come to the fore. The rise of attention networks, self-supervised learning, generative modelling and graph neural networks has widened the application space of AI. Deep learning has also propelled the return of reinforcement learning as a core building block of autonomous …
Data Analysis Of Lossy Generative Data Compression For Robust Remote Deep Inference, Silvija Kokalj-Filipovic
Data Analysis Of Lossy Generative Data Compression For Robust Remote Deep Inference, Silvija Kokalj-Filipovic
College of Science & Mathematics Departmental Research
How does compression affect topological data features and can that be related to classification accuracy?
Developing Carbon Quantum Dots As Multimodal Contrast Agents, Nicholas Whiting
Developing Carbon Quantum Dots As Multimodal Contrast Agents, Nicholas Whiting
College of Science & Mathematics Departmental Research
No abstract provided.
Integrating And Optimizing Genomic, Weather, And Secondary Trait Data For Multiclass Classification, Vamsi Manthena, Diego Jarquín, Reka Howard
Integrating And Optimizing Genomic, Weather, And Secondary Trait Data For Multiclass Classification, Vamsi Manthena, Diego Jarquín, Reka Howard
Department of Statistics: Faculty Publications
Modern plant breeding programs collect several data types such as weather, images, and secondary or associated traits besides the main trait (e.g., grain yield). Genomic data is high-dimensional and often over-crowds smaller data types when naively combined to explain the response variable. There is a need to develop methods able to effectively combine different data types of differing sizes to improve predictions. Additionally, in the face of changing climate conditions, there is a need to develop methods able to effectively combine weather information with genotype data to predict the performance of lines better. In this work, we develop a novel …
Mathematical Modeling And Inverse Problems In Applications, Thanh T. Nguyen
Mathematical Modeling And Inverse Problems In Applications, Thanh T. Nguyen
College of Science & Mathematics Departmental Research
Mathematical models, based on ordinary or partial differential equations, are widely used to describe physical/chemical/biological processes and can be found in several applications: nondestructive testing, subsurface imaging, defense, medicine, environmental sciences, etc.
Advancing Nanofiber Research: Assessing Non Solvent Contributions To Structure Using Coaxial Electrospinning, Ping Lu
College of Science & Mathematics Departmental Research
Nanofibers play a vital role as precursors for fabricating a wide array of products spanning environmental and energy sustainability, biomedical, and healthcare applications The nanofiber characteristics, such as porosity, domains, and interfaces, are strongly influenced by the phase separation behavior among polymers, solvents, and nonsolvents in the liquid jet during the nanofabrication process However, the precise control and understanding of these phenomena at the level of individual nanofibers still need to be improved due to the need for more current technologies to provide sufficient spatial and temporal resolution To address this challenge, we employed coaxial electrospinning with a nonsolvent core …
Stabilizing G-Quadruplex Dna And Rna Structures With Ionic Liquids, Timothy Vaden
Stabilizing G-Quadruplex Dna And Rna Structures With Ionic Liquids, Timothy Vaden
College of Science & Mathematics Departmental Research
Stabilizing DNA and RNA for long-term room-temperature storage is important for many biotechnological applications including oncology pharmaceuticals and mRNA-based vaccines (e.g. Covid vaccines). This poster shows that ionic liquids can improve the thermal stability of G-quadruplex DNA and RNA structures, and motivates further studies of ionic liquid-based materials for DNA / RNA stabilization.
Urban Mass Transit: New York State And The Mta Sustainability Initiatives On Greenhouse Gas Emission Reduction, Omosehin Moyebi
Urban Mass Transit: New York State And The Mta Sustainability Initiatives On Greenhouse Gas Emission Reduction, Omosehin Moyebi
Sustainability Research & Practice Seminar Presentations
Dr. Omosehin Moyebi, Health - Urban Mass Transit: New York State and the MTA Sustainability Initiatives on Greenhouse Gas Emission Reduction
Using Physics-Informed Neural Networks For Multigrid In Time Coarse Grid Equations, Jonathan P. Gutierrez
Using Physics-Informed Neural Networks For Multigrid In Time Coarse Grid Equations, Jonathan P. Gutierrez
Mathematics & Statistics ETDs
For parallel-in-time integration methods, the multigrid-reduction-in-time (MGRIT) method has shown promising results in both improved convergence and increased computational speeds when solving evolution problems. However, one problem the MGRIT algorithm currently faces is it struggles solving hyperbolic problems efficiently. In particular, hyperbolic problems are generally solved using explicit methods and this causes issues on the coarser multigrid levels, where larger (coarser) time step sizes can violate the stability condition. In this thesis, physics-informed neural networks (PINNs) are used to evaluate the coarse grid equations in the MGRIT algorithm with the goal to improve convergence for problems with hyperbolic behavior, as …
Virtual And In Vitro Screening Of Natural Products Identifies Indole And Benzene Derivatives As Inhibitors Of Sars-Cov-2 Main Protease (MPro), Dony Ang, Riley Kendall, Hagop S. Atamian
Virtual And In Vitro Screening Of Natural Products Identifies Indole And Benzene Derivatives As Inhibitors Of Sars-Cov-2 Main Protease (MPro), Dony Ang, Riley Kendall, Hagop S. Atamian
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
The rapid spread of the coronavirus disease 2019 (COVID-19) resulted in serious health, social, and economic consequences. While the development of effective vaccines substantially reduced the severity of symptoms and the associated deaths, we still urgently need effective drugs to further reduce the number of casualties associated with SARS-CoV-2 infections. Machine learning methods both improved and sped up all the different stages of the drug discovery processes by performing complex analyses with enormous datasets. Natural products (NPs) have been used for treating diseases and infections for thousands of years and represent a valuable resource for drug discovery when combined with …
Conversion Of Fat To Cellular Fuel—Fatty Acids 𝛽-Oxidation Model, Sylwester M. Kloska, Krzysztof Pałczyński, Tomasz Marciniak, Tomasz Talaśka, Marissa Miller, Beata J. Wysocki, Paul Davis, Tadeusz A. Wysocki
Conversion Of Fat To Cellular Fuel—Fatty Acids 𝛽-Oxidation Model, Sylwester M. Kloska, Krzysztof Pałczyński, Tomasz Marciniak, Tomasz Talaśka, Marissa Miller, Beata J. Wysocki, Paul Davis, Tadeusz A. Wysocki
School of Computing: Faculty Publications
𝛽-oxidation of fatty acids plays a significant role in the energy metabolism of the cell. This paper presents a 𝛽-oxidation model of fatty acids based on queueing theory. It uses Michaelis–Menten enzyme kinetics, and literature data on metabolites’ concentration and enzymatic constants. A genetic algorithm was used to optimize the parameters for the pathway reactions. The model enables real-time tracking of changes in the concentrations of metabolites with different carbon chain lengths. Another application of the presented model is to predict the changes caused by system disturbance, such as altered enzyme activity or abnormal fatty acid concentration. The model has …
Comment Letter For: Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoons System – Second Quarter 2022 (Dated September 29, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Population Of Merging Compact Binaries Inferred Using Gravitational Waves Through Gwtc-3, R. Abbott, T. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wen Hui Wang
Population Of Merging Compact Binaries Inferred Using Gravitational Waves Through Gwtc-3, R. Abbott, T. Abbott, F. Acernese, K. Ackley, Teviet Creighton, Mario C. Diaz, Francisco Llamas, Soma Mukherjee, Volker Quetschke, Wen Hui Wang
Physics & Astronomy Faculty Publications
We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 (GWTC-3) contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star–black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc−3 yr−1 and the neutron star–black hole merger rate to be between 7.8 and 140 Gpc−3 yr−1, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods …
Comments For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoon System – First Quarter 2022 (June 27, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Lacunary Eta Quotients With Identically Vanishing Coefficients, Timothy Huber, James Mclaughlin, Dongxi Ye
Lacunary Eta Quotients With Identically Vanishing Coefficients, Timothy Huber, James Mclaughlin, Dongxi Ye
School of Mathematical & Statistical Sciences Faculty Publications
For |q|<1 >, define fi=∏∞n=1(1−qin) , and let (A(q),B(q)) be any of the pairs (f41,f81f22), (f41,f101f23), (f61,f42f21), (f61,f141f42), (f101,f62f21), (f141,f53f1),(f141,f82f21). For any such pair (A(q),B(q)) , define the sequences {a(n)} and {b(n)} to be the coefficients of qn of A(q) and B(q) , respectively. Then for each pair it is shown that a(n) vanishes if and only if b(n) vanishes. In each case, a criterion is given which states precisely when a(n)=b(n)=0 . Moreover, for the pairs (f261,f93f1) , (f261,f162f61) it is shown that a(n)=b(n)=0 if 12n+13 satisfies a criteria of Serre for a(n)=0 .
Comment Letter For: Butte Priority Soils Operable Unit (Bpsou) Draft Final Quarterly Operations And Maintenance Report Butte Treatment Lagoons System – Third Quarter 2022 (Dated December 23, 2022), Nikia Greene
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.