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Articles 69211 - 69240 of 294604
Full-Text Articles in Physical Sciences and Mathematics
Covid And Curriculum: Elementary Teachers Report On The Challenges Of Teaching And Learning Mathematics Remotely, Kristin Giorgio-Doherty, Mona Baniahmadi, Jill Newton, Amy M. Olson, Kristen Ferguson, Kaitlyn Sammons, Marcy M. Wood, Corey Drake
Covid And Curriculum: Elementary Teachers Report On The Challenges Of Teaching And Learning Mathematics Remotely, Kristin Giorgio-Doherty, Mona Baniahmadi, Jill Newton, Amy M. Olson, Kristen Ferguson, Kaitlyn Sammons, Marcy M. Wood, Corey Drake
Journal of Multicultural Affairs
This article reports on findings from a survey administered to 524 elementary teachers across 46 states that asked about their experiences with mathematics teaching, learning, and curriculum use before and during the COVID-19 pandemic. The purpose of this article is to report on the challenges teachers experienced with mathematics teaching, learning, and curriculum use during the pandemic and to explore educational inequities faced by students of families with lower income backgrounds. In particular, we discuss differences across high- and low-income schools regarding teachers’ perceived preparedness for online teaching, teachers’ use and decisions about mathematics curriculum, and their students’ remote resources …
Overview: From The Desk Of The Guest Editor, Tonya Huber
Overview: From The Desk Of The Guest Editor, Tonya Huber
Journal of Multicultural Affairs
Overview from the Guest Editor on this special issue on the impacts of Covid-19 in educational settings. One theme explored in the contents of this issue is the powerlessness many educators felt as the editors set out to hear, comprehend, represent, and amplify their experiences. Other themes include: appreciation and empathy, focusing on what matters, and new ways of teaching with technology.
The Fierce Green Fire: Vol. 12 Issue 7, Wofford College. Department Of Environmental Studies
The Fierce Green Fire: Vol. 12 Issue 7, Wofford College. Department Of Environmental Studies
The Fierce Green Fire
No abstract provided.
Premade Nanoparticle Films For The Synthesis Of Vertically Aligned Carbon Nanotubes, Abdul Hoque, Ahamed Ullah, Beth S. Guiton, Noe T. Alvarez
Premade Nanoparticle Films For The Synthesis Of Vertically Aligned Carbon Nanotubes, Abdul Hoque, Ahamed Ullah, Beth S. Guiton, Noe T. Alvarez
Chemistry Faculty Publications
Carbon nanotubes (CNTs) offer unique properties that have the potential to address multiple issues in industry and material sciences. Although many synthesis methods have been developed, it remains difficult to control CNT characteristics. Here, with the goal of achieving such control, we report a bottom-up process for CNT synthesis in which monolayers of premade aluminum oxide (Al2O3) and iron oxide (Fe3O4) nanoparticles were anchored on a flat silicon oxide (SiO2) substrate. The nanoparticle dispersion and monolayer assembly of the oleic-acid-stabilized Al2O3 nanoparticles were achieved using 11-phosphonoundecanoic acid …
Precise Measurement Of The D0 And D+ Lifetimes At Belle Ii, F. Abudin´En, I. Adachi, K. Adamczyk, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, V. Babu, S. Bacher, H. Bae, S. Baehr, S. Bahinipati, P. Bambade, Milind Purohit, Et. Al.
Precise Measurement Of The D0 And D+ Lifetimes At Belle Ii, F. Abudin´En, I. Adachi, K. Adamczyk, L. Aggarwal, H. Ahmed, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, V. Aushev, V. Babu, S. Bacher, H. Bae, S. Baehr, S. Bahinipati, P. Bambade, Milind Purohit, Et. Al.
Faculty Publications
We report a measurement of the D0 and D+ lifetimes using D0 → K−π+ and D+ → K−π+π+ decays reconstructed in e+e− → cc̅ data recorded by the Belle II experiment at the SuperKEKB asymmetricenergy e+e− collider. The data, collected at center-of-mass energies at or near the ϒ(4S) resonance, correspond to an integrated luminosity of 72 fb−1. The results, τ(D0) = 410.5 plusmn;1.1(stat) 0.8(syst) fs and τ(D+) = 1030.4 plusmn; 4.7(stat) 3.1(syst) …
Resilient Error-Bounded Lossy Compressor For Data Transfer, Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Resilient Error-Bounded Lossy Compressor For Data Transfer, Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Computer Science Faculty Research & Creative Works
Todays exa-scale scientific applications or advanced instruments are producing vast volumes of data, which need to be shared/transferred through the network/devices with relatively low bandwidth (e.g., data sharing on WAN or transferring from edge devices to supercomputers). Lossy compression is one of the candidate strategies to address the big data issue. However, little work was done to make it resilient against silent errors, which may happen during the stage of compression or data transferring. In this paper, we propose a resilient error-bounded lossy compressor based on the SZ compression framework. Specifically, we design a new independentblock-wise model that decomposes the …
Classifying Mosquito Presence And Genera Using Median And Interquartile Values From 26-Filter Wingbeat Acoustic Properties, Hernan S. Alar, Proceso L. Fernandez Jr
Classifying Mosquito Presence And Genera Using Median And Interquartile Values From 26-Filter Wingbeat Acoustic Properties, Hernan S. Alar, Proceso L. Fernandez Jr
Department of Information Systems & Computer Science Faculty Publications
Mosquitoes are known to be one of the deadliest creatures in the world. There have been several studies that aim to identify mosquito presence and species using various techniques. The most common ones involve automatic identification of mosquito species from the sounds produced by flapping its wings. The development of these important concepts and technologies can help reduce the spread of mosquito-borne diseases. This paper presents a simple model based on mean and interquartile values that aim to solve the mosquito classification. Despite its simplicity, the proposed model significantly outperforms a Convolutional Neural Network (CNN) model in identifying the mosquito …
Twisted Laminar Superconducting Composite: Mgb2 Embedded Carbon Nanotube Yarns, Ujjal Lamichhane, Gamage C. Dannangoda, Mkhitar Hobosyan, R. A. Shohan, A. Zakhidov, Karen S. Martirosyan
Twisted Laminar Superconducting Composite: Mgb2 Embedded Carbon Nanotube Yarns, Ujjal Lamichhane, Gamage C. Dannangoda, Mkhitar Hobosyan, R. A. Shohan, A. Zakhidov, Karen S. Martirosyan
Physics & Astronomy Faculty Publications
Twisted laminar superconducting composite structures based on multi-wall carbon nanotube (MWCNT) yarns were crafted by integrating magnesium and boron homogeneous mixture into the carbon nanotube (CNT) aerogel sheets. After the ignition of the Mg–B–MWCNT system, under the controlled argon environment, the high exothermic reaction between magnesium (Mg) and boron (B) with stoichiometric ratio produced the MgB2@MWCNT superconducting composite yarns. The process was conducted under the controlled argon environment and uniform heating rate in the differential scanning calorimetry and thermogravimetric analyzer. The XRD analysis confirmed that the produced composite yarns contain nano and microscale inclusions of superconducting phase of MgB2. The …
Detailed Structural And Stratigraphic Analysis Of The Salt-Sediment Interactions On Top Of The Wheeler Dome Salt Tongue, Mississippi Canyon Area, Gulf Of Mexico, Ryan Jaska
Electronic Theses and Dissertations
The Mississippi Canyon is in the northeastern part of the Gulf of Mexico, south of the state of Mississippi. In this area, there are many different salt structures present including salt canopies, diapirs, and salt pillows. The Callovian aged Louann Salt covers this area and is the cause of many of the salt structures and structures of the overlying formations seen in Gulf of Mexico today. Salt is mobile when subjected to stress from overlying sediment and gravity. Stress will force the salt to not only move upward, but to also move down slope deeper into adjacent basins through the …
Uncertainty Quantification In Deep And Statistical Learning With Applications In Bio-Medical Image Analysis, K. Ruwani M. Fernando
Uncertainty Quantification In Deep And Statistical Learning With Applications In Bio-Medical Image Analysis, K. Ruwani M. Fernando
USF Tampa Graduate Theses and Dissertations
Deep Learning (DL) has achieved the state-of-the-art performance across a broad spectrum oftasks. From a statistical standpoint, deep neural networks can be construed as universal function approximators. Although statistical modeling and deep learning methods are well-established as independent areas of research, hybridization of the two paradigms via probabilistic deep networks is an emerging trend. Through development of novel analytical methods under the statistical and deep-learning framework, we address some of the major challenges encountered in the design of intelligent systems which include class imbalance learning, probability calibration, uncertainty quantification and high dimensionality. When modeling rare events, existing methodologies require re-sampling …
Final Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Work, Josh Bryson, Eric Hassler
Final Butte Priority Soils Operable Unit Community Engagement Plan For Remedial Work, Josh Bryson, Eric Hassler
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Response To Comments For 2020 Bpsou Uao Submittal: Revised Final Multi-Pathway Residential Metals Abatement Program Plan (Received January 21, 2021), Mike Mcanulty
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Spatial Distribution Of Pm2.5-Related Premature Mortality In China, Sheng Zheng, Uwe Schlink, Kin-Fai Ho, Ramesh P. Singh, Andrea Pozzer
Spatial Distribution Of Pm2.5-Related Premature Mortality In China, Sheng Zheng, Uwe Schlink, Kin-Fai Ho, Ramesh P. Singh, Andrea Pozzer
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
PM2.5 is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM2.5 exposure. This study analyzed the spatial distribution of PM2.5 concentration (45.9 μg/m3 national average in 2016) and premature mortality attributed to PM2.5 in cities at the prefectural level and above in China in 2016. Using the Global Exposure Mortality Model (GEMM), the total premature mortality in China was estimated to be 1.55 million persons, and the per capita mortality was 11.2 …
Spatial Distribution Of Pm2.5-Related Premature Mortality In China, Sheng Zheng, Uwe Schlink, Kin-Fai Ho, Ramesh P. Singh, Andrea Pozzer
Spatial Distribution Of Pm2.5-Related Premature Mortality In China, Sheng Zheng, Uwe Schlink, Kin-Fai Ho, Ramesh P. Singh, Andrea Pozzer
Biology, Chemistry, and Environmental Sciences Faculty Articles and Research
PM2.5 is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM2.5 exposure. This study analyzed the spatial distribution of PM2.5 concentration (45.9 μg/m3 national average in 2016) and premature mortality attributed to PM2.5 in cities at the prefectural level and above in China in 2016. Using the Global Exposure Mortality Model (GEMM), the total premature mortality in China was estimated to be 1.55 million persons, and the per capita mortality was 11.2 …
Enhancing Student Learning Of Global Warming Through Reflective Writing, Liang Zeng, Guang Zeng
Enhancing Student Learning Of Global Warming Through Reflective Writing, Liang Zeng, Guang Zeng
Physics & Astronomy Faculty Publications
The National Academy of Science has published studies showing strong scientific evidence that global warming is caused by human consumption of fossil fuels, yet recent surveys have shown young adults in the U.S. are disengaged or disagree with this fact. Accordingly, the United Nations Educational, Scientific, and Cultural Organization (UNESCO) published learning objectives to educate the world population on global warming and renewable energy by 2030. In this paper, we introduce a reflective writing activity physics educators can employ to foster a deeper understanding of global warming in introductory college physics and physical science courses, without overloading their teaching time.
Phylogenetic Grouping By Pcr Analyses Of Sinorhizobium Meliloti Strains Isolated From Eutrophic Soil, W. S. Oliveira, P. P. A. Oliveira, C. M. Bellato, F. R. S. Duarte, S. M. Tsai
Phylogenetic Grouping By Pcr Analyses Of Sinorhizobium Meliloti Strains Isolated From Eutrophic Soil, W. S. Oliveira, P. P. A. Oliveira, C. M. Bellato, F. R. S. Duarte, S. M. Tsai
IGC Proceedings (1977-2023)
This study evaluated the ability of Sinorhizobium meliloti strains (SEMIA-116, SEMIA- 134 and SEMIA-135) to persist in eutrophic soils after three complete growing cycles of alfalfa. PCR fingerprinting using primers for the nifH, Eric, Rep, RP genes and P25 RAPD-PCR performed the phylogenetic grouping of the three commercial strains and 39 field isolates. These analyzes were sufficiently sensitive to discriminate and group the strains and isolate. Our preliminary studies were based upon Eric primers and RP01 RAPD-PCR.
Achievements And Perspectives In The Breeding Of Temperate Grasses And Legumes, Kenneth H. Quesenberry, M. D. Casler
Achievements And Perspectives In The Breeding Of Temperate Grasses And Legumes, Kenneth H. Quesenberry, M. D. Casler
IGC Proceedings (1977-2023)
This paper will focus on a historical perspective on cool season forage production, plant breeding methods for cool season forages, major cool season forage selection criteria, some examples of significant achievements, and a future perspective. Topics similar to ours have been discussed at recent previous meeting of this Congress (Humphreys, 1997; Van Wijk et al., 1993); however, we will strive to avoid “plowing the same ground twice”. In an attempt to prevent duplication of content with other sections of this Congress, only limited attention will be given to genetic resource acquisition and conservation. Additionally, alfalfa (Medicago sativa L.), one …
Achievements And Perspectives In The Breeding Of Tropical Grasses And Legumes, John W. Miles
Achievements And Perspectives In The Breeding Of Tropical Grasses And Legumes, John W. Miles
IGC Proceedings (1977-2023)
Pasture and forage plant breeding is complicated by the perennial nature of the plants, the diversity of environments in which improved cultivars will be used, and the complex criteria of merit involved, criteria that necessarily include some measure of impact on the efficiency of animal production. While pasture plant breeding in the temperate zone is a demonstrably productive activity, the record of success for the tropical species -- "success" measured by release and adoption of bred cultivars -- is less convincing, in spite of four decades of activity in numerous public sector breeding programs and a large published literature. The …
Tropical Forage Genetic Resources -- Will Any Be Left For Future Generations?, B. L. Maass, B. C. Pengelly
Tropical Forage Genetic Resources -- Will Any Be Left For Future Generations?, B. L. Maass, B. C. Pengelly
IGC Proceedings (1977-2023)
After very active years of pasture and forage research at major institutes, interest in tropical forage genetic resources has drastically declined. Apparently, the early phases of collecting and evaluation were much more valued than conserving and keeping the germplasm available for future generations. Accumulated data are not easily accessible and, therefore, the knowledge of tropical forage genetic resources is progressively being lost. This worldwide decrease in activity and loss of knowledge is due to declining resources. It is suggested that a global database on tropical forage genetic resources should be established and also that finances be made available to at …
Competition Of 35 Cultivars Of Alfalfa At Sertãozinho-Sp, Ana C. Ruggieri, A. Schmidek, A. R. P. Almeida, L. A. Figueiredo, Alda L. G. Monteiro, M. F. L. Muñoz
Competition Of 35 Cultivars Of Alfalfa At Sertãozinho-Sp, Ana C. Ruggieri, A. Schmidek, A. R. P. Almeida, L. A. Figueiredo, Alda L. G. Monteiro, M. F. L. Muñoz
IGC Proceedings (1977-2023)
Thirty-five cultivars of alfalfa were evaluated at EE de Zootecnia in Sertãozinho,SP, Brazil. During four years, the plants were harvested to determine dry matter yield on total and individual cuts. A completely randomized block design with three replications was used, and data were analyzed by groups of origin and dormancy degree. There were significant differences (P< 0.05) among the cultivars regarding their dormancy degree, however no differences (P> 0.05) were observed regarding their origin. Cultivars with 8 and 9 dormancy degree showed better performance during the four year trial when compared to 7 degree, although some of the 9 degree cultivars resulted in low yield. The origin of cultivars did not influence …
Adaptability And Stability Of Alfalfa Cultivars, Ana C. Ruggieri, Alda L. G. Monteiro, R. Gualberto
Adaptability And Stability Of Alfalfa Cultivars, Ana C. Ruggieri, Alda L. G. Monteiro, R. Gualberto
IGC Proceedings (1977-2023)
Yield adaptability and stability of thirty five alfalfa genotypes (Medicago sativa L.) were evaluated at Sertãozinho, SP, Brazil, considering different environments (seasons of year) from 1996 to 1999. A randomized complete block design with three replications was used. Scott-Knott’s test was performed to compare genotypes averages. Adaptability and stability were determined by Eberhart and Russell's procedures. Two diverse groups of genotypes with mean dry matter yield were identified: Araucana, F686, MH4 e BR2 were more responsive under favorable environments, but SW 8210, Alto, Monarca SP, Victoria SP, Florida 77, P5888, MH15, BR1, BR3, SW 9210A presented broad adaptability and …
The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri
The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri
Smart City
ABSTRACT
Infected cases and suspect cases of covid-19 are increasing more and more daily. This increment happens either in whole regions of Indonesia and DKI Jakarta as a capital city. The purpose of this research is to seek the pattern in spatial of Covid-19 incidence with 3 different periods of before, during, and after large-scale social restriction, and to identify the influence of the presence of the elderly and other factors. One of the scopes of this study is the presence of the elderly because the elderly population is considered as influencing the increase of Covid-19 incidence. The analysis method …
From The Editors, Ahmad Gamal
First Person, Colby College, Lokesh Todi
Crash Course: Student Team Uses Statistical Modeling And Bigelow Partnership To Map Moose-Car "Hot Zones", Gerry Boyle, Max Slomiak
Crash Course: Student Team Uses Statistical Modeling And Bigelow Partnership To Map Moose-Car "Hot Zones", Gerry Boyle, Max Slomiak
Colby Magazine
The project began in 2004 when Alex Jospe ’06, a Nordic skier who traveled Maine roads to meets, decided to use skills learned in a GIS class taught by Associate Professor of Environmental Studies Philip Nyhus. Jospe used data supplied by state transportation officials to map moose-collision hot zones. On a trip to Vermont, the map came in handy. “She came back all excited and said, ‘I saw a moose right where my map said I would,’” Nyhus recalled.
Restormer: Efficient Transformer For High-Resolution Image Restoration, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
Restormer: Efficient Transformer For High-Resolution Image Restoration, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang
Computer Vision Faculty Publications
Since convolutional neural networks (CNNs) perform well at learning generalizable image priors from large-scale data, these models have been extensively applied to image restoration and related tasks. Recently, another class of neural architectures, Transformers, have shown significant performance gains on natural language and high-level vision tasks. While the Transformer model mitigates the shortcomings of CNNs (i.e., limited receptive field and in-adaptability to input content), its computational complexity grows quadratically with the spatial resolution, therefore making it infeasible to apply to most image restoration tasks involving high-resolution images. In this work, we propose an efficient Transformer model by making several key …
Practical Geometry, Christopher Clavius S.J., John B. Little
Practical Geometry, Christopher Clavius S.J., John B. Little
Holy Cross Bookshelf
John B. Little is the translator.
This is a Latin to English translation of Geometria Practica by Chrisopher Clavius, S.J. (1538-1612), the preeminent Jesuit mathematician and mathematical astronomer of his time. The first edition of Geometria Practica appeared in 1604. This translation is of the second edition from 1606, produced by the printshop of Johann Albin in Mainz.
In preparing this translation we have made use of the electronic version of the 1606 edition of the Geometria Practica maintained by the Bayerische StaatsBibliothek. In particular, all of the figures have been copied from the scanned images here. The typesetting was …
Applications And Power Analyzation Of New Multiple Testing Procedures Based On Covering Principle, Yu Zhang
Applications And Power Analyzation Of New Multiple Testing Procedures Based On Covering Principle, Yu Zhang
Student Theses and Dissertations
Multiple comparison tests are quite prevalent in clinical trials to increase efficiency and the chance of finding treatment or drug effects. However, making multiple comparisons will lead to the potential inflation of the Type I error rate. How well one test procedure controls the rate of false-positive conclusions becomes the main concern nowadays. A novel method named Covering Principle has been proposed recently. It provides a new approach to designing multiple testing procedures from the angle of rejection regions in the sample space, rather than in the parameter space, which uses in the methods based on the closed testing and …
Shifts In The Acute Stress Response In Red-Eared Sliders (Trachemys Scripta) During The Activity Season, Jennifer Lauren Terry
Shifts In The Acute Stress Response In Red-Eared Sliders (Trachemys Scripta) During The Activity Season, Jennifer Lauren Terry
Student Theses and Dissertations
Tradeoffs may occur among biological processes if individuals are energetically challenged. Glucocorticoids (GC) promote essential daily processes and energy reprioritization during stressful or energy-demanding periods and provide insight to an individual’s energetic state. I captured 123 wild adult red-eared sliders (Trachemys scripta) outside of Cherry Valley, Arkansas in the Arkansas Delta between May and October 2019 to assess energy tradeoffs between innate immunity and GC secretion. I collected blood samples at 0–3, 30, and 60 min and used plasma in bacterial killing assays and radioimmunoassays to assess innate immunity and corticosterone concentrations, respectively. Tradeoffs were not evident in this population …
Using Deep Learning To Predict The Path Of A Shuttlecock In Badminton, Sachleen Singh
Using Deep Learning To Predict The Path Of A Shuttlecock In Badminton, Sachleen Singh
Student Theses and Dissertations
With this thesis we intend to predict the movement of the shuttlecock given ten frames of a video for the each of the next ten frames. We also present a new regression model for the prediction of the frames called PIFR [Present Imputation and Future Regression] which consists of two models prepared for the same. Both the models try to predict the “future” position of the shuttlecock, the players and their rackets. There are two parts of the prediction network: An object detection stage based YOLO and the regression model. [40]