Physical Sciences and Mathematics Commons^™

Changes In Crude Protein And Fiber Contents Of Small Grain Cereals For Forage Over Time, J. L. Zaragoza-Ramirez, N. Zayago-Ramos, P. A. Martinez-Hernandez

IGC Proceedings (1993-2023)

Oat, triticale, wheat and barley are small grain cereals used as forage in many temperate Mexican regions. The objective was to determine crude protein and van Soest fiber contents of these forages cut at 80, 96, 108, 121, 138 and 153 days after seeding. Cultivars used were: Chihuahua (OC) for oat; Arne (TA), Bicentenario (TB) and Siglo XXI (TS) for triticale; Saturno (WS) for wheat; and San Marcos (BSM) for barley. Experiment was under greenhouse conditions from November 2015 to May 2016. Crude protein (CP), neutral (NDF) and acid (ADF) detergents fibers were determined on the forage harvested at each …

Collection Priorities Of Pasture Genetic Resources In The Paniceae Native To South Africa, F. L. Müller, M. Trytsman, E. L. Masemola, M. I. Kgonothi, N. R. Mkhize, T. J. Tjelele

IGC Proceedings (1993-2023)

There is an urgent need for the prioritization and ex situ conservation of pasture grass species. Many pasture grasses are still in the process of domestication and grasslands in the tropical, subtropical, semi-arid and arid regions of the world are therefore a major source of genetic material for future forage improvement. Within South Africa, it was found that the Paniceae contains several species with high pasture value and that many populations of these species are found in water-limited environments. Therefore, it was proposed that a strategy be developed for the South African National Forage Genebank to prioritize efforts to collect …

Changes In Defoliation Patterns Of Plant Functional Groups Under Variable Herbage Allowance In Campos Grasslands, N. Caram, F. Casalás, Pablo Soca, M. Wallau, M. Cadenazzi, P. Boggiano

IGC Proceedings (1993-2023)

Several studies have evaluated separately forage production, botanical composition, leaf traits and animal performance. However, few of them have focused on defoliation patterns at the level of functional groups (FGs) under different and variable herbage allowance (HA), especially in natural, diverse grasslands. The objective was to evaluate the relationship between HA and leaf traits on defoliation patterns of mature beef cows in the autumn, winter and spring. We evaluated the grazing probability (GP), intensity of defoliation (ID), and leaf traits on 14 species that represent more than 80% of total dry matter of the pasture. The experiment at which we …

Deep Learning-Based Quality Assessment Of Clinical Protocol Adherence In Fetal Ultrasound Dating Scans, Sevim Cengiz, Mohammad Yaqub

Computer Vision Faculty Publications

To assess fetal health during pregnancy, doctors use the gestational age (GA) calculation based on the Crown Rump Length (CRL) measurement in order to check for fetal size and growth trajectory. However, GA estimation based on CRL, requires proper positioning of calipers on the fetal crown and rump view, which is not always an easy plane to find, especially for an inexperienced sonographer. Finding a slightly oblique view from the true CRL view could lead to a different CRL value and therefore incorrect estimation of GA. This study presents an AI-based method for a quality assessment of the CRL view …

Atomistic Engineering Of Phonons In Functional Oxide Heterostructures, Seung Gyo Jeong, Ambrose Seo, Woo Seok Choi

Physics and Astronomy Faculty Publications

Engineering of phonons, that is, collective lattice vibrations in crystals, is essential for manipulating physical properties of materials such as thermal transport, electron-phonon interaction, confinement of lattice vibration, and optical polarization. Most approaches to phonon-engineering have been largely limited to the high-quality heterostructures of III–V compound semiconductors. Yet, artificial engineering of phonons in a variety of materials with functional properties, such as complex oxides, will yield unprecedented applications of coherent tunable phonons in future quantum acoustic devices. In this study, artificial engineering of phonons in the atomic-scale SrRuO₃/SrTiO₃ superlattices is demonstrated, wherein tunable phonon modes are observed …

Detection Of Ongoing Mass Loss From Hd 63433c, A Young Mini-Neptune, Michael Zhang, Heather A. Knutson, Lile Wang, Fei Dai, Leonardo A. Dos Santos, Luca Fossati, Gregory W. Henry, David Ehrenreich, Yann Alibert, Sergio Hoyer, Thomas G. Wilson, Andrea Bonfanti

Information Systems and Engineering Management Research Publications

We detect Lyα absorption from the escaping atmosphere of HD 63433c, a R = 2.67R_⊕, P = 20.5 day mini-Neptune orbiting a young (440 Myr) solar analog in the Ursa Major Moving Group. Using Hubble Space Telescope (HST)/Space Telescope Imaging Spectrograph, we measure a transit depth of 11.1 ± 1.5% in the blue wing and 8 ± 3% in the red. This signal is unlikely to be due to stellar variability, but should be confirmed by an upcoming second transit observation with HST. We do not detect Lyα absorption from the inner planet, a smaller …

Sentinel-1 Snow Depth Retrieval At Sub-Kilometer Resolution Over The European Alps, Hans Lievens, Isis Brangers, Hans-Peter Marshall, Tobias Jonas, Marc Olefs, Gabriëlle De Lannoy

Geosciences Faculty Publications and Presentations

Seasonal snow is an essential water resource in many mountain regions. However, the spatio-temporal variability in mountain snow depth or snow water equivalent (SWE) at regional to global scales is not well understood due to the lack of high-resolution satellite observations and robust retrieval algorithms. We investigate the ability of the Sentinel-1 mission to monitor snow depth at sub-kilometer (100 m, 500 m, and 1 km) resolutions over the European Alps for 2017–2019. The Sentinel-1 backscatter observations, especially in cross-polarization, show a high correlation with regional model simulations of snow depth over Austria and Switzerland. The observed changes in radar …

Atmospheric, Geomorphological, And Compositional Analysis Of Martian Asimov And Hale Craters: Implications For Recurring Slope Lineae, Fares M. Howari, Manish Sharma, Cijo M. Xavier, Yousef Nazzal, Fatima Alaydaroos

All Works

Recurring slope lineae (RSL) are small, dark, seasonal albedo features lengthening down “warm” Martian steep slopes. Their origin has been attributed to both liquid and dry processes, hence representing one of the major open science questions on present day Mars. In the present study, we report a catalog of previous literature and newly added RSL sites making a total of 940 sites globally on Mars along with the detailed geological and compositional investigation of the Hale and Asimov craters with their RSL features. We also estimate temperature and atmospheric water abundances in the study area, which are two of the …

Testing Effects Of Lorentz Invariance Violation In The Propagation Of Astroparticles With The Pierre Auger Observatory, P. Abreu, M. Aglietta, J. M. Albury, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, D. Nitz, A. Puyleart, Et. Al.

Michigan Tech Publications

Lorentz invariance violation (LIV) is often described by dispersion relations of the form E i2 = m i2+p i2+δi,n E 2+n with delta different based on particle type i, with energy E, momentum p and rest mass m. Kinematics and energy thresholds of interactions are modified once the LIV terms become comparable to the squared masses of the particles involved. Thus, the strongest constraints on the LIV coefficients δi,n tend to come from the highest energies. At sufficiently high energies, photons produced by cosmic ray interactions as they propagate through the Universe could be subluminal and unattenuated over cosmological distances. …

Automatic Segmentation Of Head And Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, Mohammad Yaqub

Computer Vision Faculty Publications

Cancer is one of the leading causes of death worldwide, and head and neck (H&N) cancer is amongst the most prevalent types. Positron emission tomography and computed tomography are used to detect and segment the tumor region. Clinically, tumor segmentation is extensively time-consuming and prone to error. Machine learning, and deep learning in particular, can assist to automate this process, yielding results as accurate as the results of a clinician. In this research study, we develop a vision transformers-based method to automatically delineate H&N tumor, and compare its results to leading convolutional neural network (CNN)-based models. We use multi-modal data …

Scanner: A Web Platform For Annotation, Visualization And Sharing Of Single Cell Rna-Seq Data, Guoshuai Cai, Xuanxuan Yu, Choonhan Youn, Jun Zhou, Feifei Xiao

Faculty Publications

In recent years, efficient scRNA-seq methods have been developed, enabling the transcriptome profiling of single cells massively in parallel. Meanwhile, its high dimensionality and complexity bring challenges to the data analysis and require extensive collaborations between biologists and bioinformaticians and/or biostatisticians. The communication between these two units demands a platform for easy data sharing and exploration. Here we developed Single-Cell Transcriptomics Annotated Viewer (SCANNER), as a public web resource for the scientific community, for sharing and analyzing scRNA-seq data in a collaborative manner. It is easy-to-use without requiring special software or extensive coding skills. Moreover, it equipped a real-time database …

The Influence Of Local Embeddedness On The Economic, Social, And Environmental Sustainability Practices Of Regional Small Firms, Jalleh Sharafizad, Janice Redmond, Craig Parker

Research outputs 2022 to 2026

Despite growing research on economic, social, and environmental sustainability, few studies explore all three sustainability pillars and implemented practices, in the context of regional small firms. This study uses a novel integration of two theoretical concepts, local embeddedness, and sustainability embeddedness orientation, to fill this knowledge gap. Using 26 interviews, the study highlights the nuanced interconnectedness of three new theoretical concepts that link local embeddedness and sustainability embeddedness–locally embedded sustainability values, spatially-driven sustainability and locally adapted sustainability. An integrated theoretical framework is provided that uses the three new concepts to explain how and why small firm local embeddedness in regional …

Tibetan Dust Accumulation Linked To Ecological And Landscape Response To Global Climate Change, Xianmei Huang, Xiaodong Miao, Qiufang Chang, Jiemei Zhong, Joseph A. Mason, Paul R. Hanson, Xianjiao Ou, Liubing Xu, Zhongping Lai

School of Natural Resources: Faculty Publications

The Tibetan Plateau (TP) is a hotspot of earth system research, and understanding its landscape and ecosystem evolution has been hampered by the lack of time-constrained geological records. Geochronological data from 14 loess sites covering a large region in the Tibetan interior show that the TP loess, rather than accumulating during glacial periods, began aggrading at either 13.4 ± 0.4 or 9.9 ± 0.2 ka. An ecological threshold was crossed, when warmer and wetter conditions resulted in increased vegetation cover enabling dust trapping. This dust accumulation model is out of phase with that of the Chinese Loess Plateau (CLP) where …

Annals Of Forest Science Promotes Multidisciplinary Research On Forests And Wood In A Changing World And Is Now A Full Open Access Journal, Erwin Dreyer, Jean Michel Leban, Shuguang Léo Liu, Andreas Bolte, John M. Lhotka, Marco Ferretti, Véronique Lesage

Forestry and Natural Resources Faculty Publications

No abstract provided.

Positivity Among P-Partition Generating Functions, Nathan R. T. Lesnevich, Peter R. W. Mcnamara

Faculty Journal Articles

We seek simple conditions on a pair of labeled posets that determine when the difference of their (P,ω)-partition enumerators is F-positive, i.e., positive in Gessel's fundamental basis. This is a quasisymmetric analogue of the extensively studied problem of finding conditions on a pair of skew shapes that determine when the difference of their skew Schur functions is Schur-positive. We determine necessary conditions and separate sufficient conditions for F-positivity, and show that a broad operation for combining posets preserves positivity properties. We conclude with classes of posets for which we have conditions that are both necessary and …

Is Contrastive Learning Suitable For Left Ventricular Segmentation In Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, Mohammad Yaqub

Computer Vision Faculty Publications

Contrastive learning has proven useful in many applications where access to labelled data is limited. The lack of annotated data is particularly problematic in medical image segmenta-tion as it is difficult to have clinical experts manually annotate large volumes of data. One such task is the segmentation of cardiac structures in ultrasound images of the heart. In this paper, we argue whether or not contrastive pretraining is helpful for the segmentation of the left ventricle in echocardiography images. Furthermore, we study the effect of this on two segmentation networks, DeepLabV3, as well as the commonly used segmentation net-work, UNet. Our …

Challenges In Covid-19 Chest X-Ray Classification: Problematic Data Or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, Mohammad Yaqub

Computer Vision Faculty Publications

The value of quick, accurate, and confident diagnoses cannot be undermined to mitigate the effects of COVID-19 infection, particularly for severe cases. Enormous effort has been put towards developing deep learning methods to classify and detect COVID-19 infections from chest radiography images. However, recently some questions have been raised surrounding the clinical viability and effectiveness of such methods. In this work, we carry out extensive experiments on a large COVID-19 chest X-ray dataset to investigate the challenges faced with creating reliable solutions from both the data and machine learning perspectives. Accordingly, we offer an in-depth discussion into the challenges faced …

Is It Possible To Predict Mgmt Promoter Methylation From Brain Tumor Mri Scans Using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub

Computer Vision Faculty Publications

Glioblastoma is a common brain malignancy that tends to occur in older adults and is almost always lethal. The effectiveness of chemotherapy, being the standard treatment for most cancer types, can be improved if a particular genetic sequence in the tumor known as MGMT promoter is methylated. However, to identify the state of the MGMT promoter, the conventional approach is to perform a biopsy for genetic analysis, which is time and effort consuming. A couple of recent publications proposed a connection between the MGMT promoter state and the MRI scans of the tumor and hence suggested the use of deep …

Assessment Of Climate Events In Changma Season (Korean Monsoon) For Production Trend Of Sorghum-Sudangrass Hybrid (Sorghum Bicolor L.) In The Central Inland Regions Of Korea Using Time Series Analysis, M. Kim, J. Y. Kim, M. H. Jo, K. Sung, H. Jo

IGC Proceedings (1993-2023)

This study aimed to assess the impact of climate events in the Changma (Korean Monsoon) season on the production trend of sorghum-sudangrass hybrid (SSH) in central inland regions using time series analysis. The dataset in Suwon from 1988–2013 (n = 388) was generated by merging SSH data and climate data. The accumulated temperature (SHAT, ℃), rainfall amount (SHRA, mm) and sunshine duration (SHSD, hr) from seeding to harvesting were used to assess their impact on the trend of dry matter yield (DMY, kg/ha) for SSH. Furthermore, heavy rainfall (HRF) and typhoons (TPH) were considered as climate events. As a result, …

Can Livestock Alone Be The Main Source Of Income From Rangelands In Poor Countries?, Hossein Arzani, Mohammad Jafari, H. Moradii

IGC Proceedings (1993-2023)

In many countries due to the high population of land holders, there is insufficient range area for each land holder to cover all life expenses. In such places, the income of only livestock in rangelands is not enough to cover living expenses of landholders. The ideas in this paper suggest that researchers should create and explore economic models that incorporate the multiple use concept in rangelands and show how multiple uses are compatible with livestock grazing and to sustain the livelihood of rangeland families.

Assessment Of Causality Between Climate Variables And Production For Whole Crop Maize Using Structural Equation Modeling, M. Kim, J. Y. Kim, M. H. Jo, H. Jo, K. Sung

IGC Proceedings (1993-2023)

This study aimed to assess the causality of different climate variables on the production of whole crop maize silage (Zea mays L.; WCM) in the central inland region of the Republic of Korea. Furthermore, the effect of these climate variables was also determined by looking at direct and indirect pathways during the stages before and after silking. The WCM metadata (n = 640) were collected from the Rural Development Administration’s reports of new variety adaptability from 1985‒2011 (27 years). The climate data was collected based on year and location from the Korean Meteorology Administration’s weather information system. Causality, in …

Computing For Numeracy: Kiyoo Mogi And The Nature Of Volcanoes, Charles Connor

Numeracy

Dramatic volcanic eruptions occurred in the Spring of 2021 in Iceland and St. Vincent. This column explores the use of a numerical model to understand the giant displacements of the Earth's surface that result from such volcanic activity. The model used was development by Japanese geophysicist Kiyoo Mogi to explain a much older eruption, the 1914 eruption of Sakurajima volcano, located in Kyushu, Japan. Mogi's model was so successful, and is still widely used today, because he took a step-by-step approach to solving this complicated problem, making simplifying assumptions where he could, and using data to the maximum extent possible …

Educating Consumers And Producers Of Data: Review Of Making Sense Of Numbers By Jane E. Miller (2022), Andrew J. Miller

Numeracy

Author Jane E. Miller has brought her considerable experience writing and teaching about numerate communication to a new textbook, Making Sense of Numbers. Miller uses clear prose, timely and authentic examples, and thought-provoking exercises to educate the next generation of consumers and producers of data, students in introductory quantitative reasoning, research methods, or data analysis courses. While the textbook does not fit the mold of a "typical" quantitative literacy course, creative instructors may find ways to use it in innovative quantitative literacy, data literacy, or introductory data science courses.

Author’S Reflections On Making Sense Of Numbers: Quantitative Reasoning For Social Research, Jane E. Miller

Numeracy

Miller, Jane E. 2021. Making Sense of Numbers: Quantitative Reasoning for Social Research. (Los Angeles: SAGE Publications) 608 pp. ISBN 978-1544355597.

This article introduces and provides an excerpt from Making Sense of Numbers: Quantitative Reasoning for Social Research, published by Sage. The book explains and illustrates how making sense of numbers involves integrating concepts and skills from mathematics, statistics, study design, and communications, along with information about the specific topic and context under study. It teaches how to avoid making common errors of logic, calculation, and interpretation by introducing a systematic approach and a healthy dose of skepticism …

Adapting The Cacao Model To Support Higher Education Stem Teaching Reform, Karen Viskupic, Brittnee Earl, Susan E. Shadle

Geosciences Faculty Publications and Presentations

Background: Efforts to achieve improved student outcomes in STEM are critically reliant on the success of reform efforts associated with teaching and learning. Reform efforts include the transformation of course-based practices, community values, and the institutional policies and structures associated with teaching and learning in higher education. Enacting change is a complex process that can be guided by change theories that describe how and why a desired change takes place. We analyzed the utility of a theory-based change model applied in a higher education setting. Our results provide guidance for change efforts at other institutions.

Results: Use of the CACAO …

Factors Affecting Student Educational Choices Regarding Oer Material In Computer Science, Anastasia Angelopoulou, Rania Hodhod, Alfredo J. Perez

Computer Science Faculty Publications

The use of Open Educational Resources (OER) in course settings provides a solution to reduce the textbook barrier. Several published studies have concluded that high textbook costs may influence students' educational choices. However, there are other student characteristics that may be relevant to OER. In this work, we study various factors that may influence students' educational choices regarding OER and their impact on a student’s perspectives on OER use and quality. More specifically, we investigate whether there are significant differences in the frequency of use and perceived quality of the OER textbook based on gender, prior academic achievements, income, seniority, …

Hysteretic Transition Between States Of A Filled Hexagonal Magnetic Dipole Cluster, Andrew D. P. Smith, Peter T. Haugen, Boyd F. Edwards

All Physics Faculty Publications

By minimizing the magnetostatic potential energy and by finding zeros in the sum of the squares of the torques, we find the equilibrium states of six dipoles of identical strength at the vertices of a regular hexagon and a variable-strength dipole at the center. The seven dipoles spin freely about fixed axes that are perpendicular to the plane of the hexagon, with their dipole moments directed parallel to the plane. When the central dipole is weak compared with the perimeter dipoles, a ‘‘circular’’ state applies in which the perimeter dipole moments circle around the central dipole, which points toward a …

Search For Continuous Gravitational Waves From 20 Accreting Millisecond X-Ray Pulsars In O3 Ligo Data, Ligo Scientific Collaboration, Virgo Collaboration, Kagra Collaboration, Tiffany Z. Summerscales

Faculty Publications

Results are presented of searches for continuous gravitational waves from 20 accreting millisecond x-ray pulsars with accurately measured spin frequencies and orbital parameters, using data from the third observing run of the Advanced LIGO and Advanced Virgo detectors. The search algorithm uses a hidden Markov model, where the transition probabilities allow the frequency to wander according to an unbiased random walk, while the J-statistic maximum-likelihood matched filter tracks the binary orbital phase. Three narrow subbands are searched for each target, centered on harmonics of the measured spin frequency. The search yields 16 candidates, consistent with a false alarm probability of …

Analysis Of Ensiling Suitability Of Moringa, A Woody Plant, Z. Du, F. Yang, Y. Lin, Y. Cai

IGC Proceedings (1993-2023)

To effectively use the woody plant resources as animal feed, the ensiling suitability of Moringa including the dynamics of microbial community, chemical composition, and silage fermentation were studied. Tender stems and leaves of Moringa at the full-bloom stage of second cutting was used for silage preparation in Guizhou, China. After 3, 7, 15, 30, and 60 days of ensiling, five silos for each treatment were opened to analyze the fermentation characteristics. Moringa before ensiling contained 10⁴ lactic acid bacteria (LAB), 10⁶ aerobic bacteria, 10⁴ coliform bacteria, 10² yeast, and 10⁴ mold based on colony-forming unit/g …

Impact Of Grazing Management On Productivity Of Tropical Grasslands, Moacyr Corsi, Geraldo B. Martha Jr., Domício Do Nascimento Jr., Marco A. A. Balsalobre

IGC Proceedings (1993-2023)

Beef and dairy cattle enterprises from tropical pasture-based systems are notoriously of low productivity. The low soil fertility, the exploitation of native grasslands, the low genetic potential of the animals and the poor management of soil, pasture and animal components are all arguments used to explain these “low-productivity systems”. In fact, research has consistently indicated up to 50% increase in calving rate when animals grazing unfertilized pastures were supplemented with trace-mineralized salt (Table 1) but unfortunately less than 90% of Brazilian farmers use this management strategy (Tosi, 1997). However, a recent survey conducted by São Paulo State government showed that …