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Articles 33181 - 33210 of 302597

Full-Text Articles in Physical Sciences and Mathematics

Constraints On Dark Photon Dark Matter Using Data From Ligo’S And Virgo’S Third Observing Run, Ligo Scientific Collaboration, Virgo Collaboration, Kagra Collaboration, Tiffany Z. Summerscales Mar 2022

Constraints On Dark Photon Dark Matter Using Data From Ligo’S And Virgo’S Third Observing Run, Ligo Scientific Collaboration, Virgo Collaboration, Kagra Collaboration, Tiffany Z. Summerscales

Faculty Publications

We present a search for dark photon dark matter that could couple to gravitational-wave interferometers using data from Advanced LIGO and Virgo’s third observing run. To perform this analysis, we use two methods, one based on cross-correlation of the strain channels in the two nearly aligned LIGO detectors, and one that looks for excess power in the strain channels of the LIGO and Virgo detectors. The excess power method optimizes the Fourier transform coherence time as a function of frequency, to account for the expected signal width due to Doppler modulations. We do not find any evidence of dark photon …

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Arsenic In Groundwater Sources From Selected Communities Surrounding Taal Volcano, Philippines: An Exploratory Study, Geminn Louis C. Apostol, Sary Valenzuela, Xerxes Seposo Mar 2022

Arsenic In Groundwater Sources From Selected Communities Surrounding Taal Volcano, Philippines: An Exploratory Study, Geminn Louis C. Apostol, Sary Valenzuela, Xerxes Seposo

Ateneo School of Medicine and Public Health Publications

Arsenic (As) is a highly toxic, carcinogenic trace metal that can potentially contaminate groundwater sources in volcanic regions. This study provides the first comparative documentation of As concentrations in groundwater in a volcano-sedimentary region in the Philippines. Matched, repeated As measurements and physico-chemical analyses were performed in 26 individual wells from 11 municipalities and city in Batangas province from July 2020 to November 2021. Using the electrothermal atomic absorption spectrometric method, analysis of the wells revealed that in 2020, 23 out of 26 (88.46%) had As levels above the WHO limit of >10 ppb while 20 out of 26 wells …

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Effective Statistical And Machine Learning Methods To Analyze Children's Vocabulary Learning, Houston T. Sanders Mar 2022

Effective Statistical And Machine Learning Methods To Analyze Children's Vocabulary Learning, Houston T. Sanders

USF Tampa Graduate Theses and Dissertations

Poor methodological and statistical practices can lead to unreliable results. The collaboration between statisticians and researchers can remedy this. Early education intervention research rarely uses advanced statistical techniques. Within early education, vocabulary instruction has been well-studied, yet outcomes continue to be underwhelming. The specialized knowledge and expertise statisticians possess has the potential to enhance word learning research by applying sophisticated analyses not commonly used. Choosing vocabulary words for instruction can be a daunting task and is highly subjective. In an effort to aid in the selection process, researchers use a word selection framework that groups words into three tiers. Even …

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Developing A Multi-Regional Physical Supply Use Table Framework To Improve The Accuracy And Reliability Of Energy Analysis., Matthew K. Heun, Emmanuel Aramendia, Paul E. Brockway, Peter G. Taylor Mar 2022

Developing A Multi-Regional Physical Supply Use Table Framework To Improve The Accuracy And Reliability Of Energy Analysis., Matthew K. Heun, Emmanuel Aramendia, Paul E. Brockway, Peter G. Taylor

University Faculty Publications and Creative Works

Physical Supply Use Tables overcome some of the main limitations of the commonly used Energy Extended Input Output Analysis by describing the Energy Conversion Chain in energy terms only. In this paper, we build on recent advances in the field to construct a Multi-Regional Physical Supply Use Table framework. We use data from the International Energy Agency and have developed open source R packages, thereby enabling easy adoption of the present work. The new framework enables analysts to take into consideration the trade in energy products and to track energy flows across regions. In addition, we expand the existing Physical …

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Sally Ride: Shooting For The Stars, Cristo Leon, Bruce Bukiet, Kamiya Patel Mar 2022

Sally Ride: Shooting For The Stars, Cristo Leon, Bruce Bukiet, Kamiya Patel

STEM Month

Today we will be talking about the adventures of Sally Ride and how she shoots for the star when it seems impossible for women to do so.

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High School Student Perspective: My Njit Stem For Success Internship Experience, Michael Mora Mar 2022

High School Student Perspective: My Njit Stem For Success Internship Experience, Michael Mora

STEM Month

During the 2020-2021 school year, I was a senior at the Academy for Mathematics, Science, and Engineering (AMSE) in Rockaway, NJ. At AMSE, a STEM-focused four-year magnet high school program hosted at Morris Hills High School, participating in an extended internship senior year is a cornerstone of the learning process. Required to complete a STEM-related internship to graduate, Academy students are encouraged to seek out an internship they’re passionate about in a field of their choice. The internship, which must be conducted under the mentorship of an industry professional, must meet the New Jersey-approved standards for a work-based learning experience …

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Oscillation Of Noncanonical Second-Order Advanced Differential Equations Via Canonical Transform, Martin Bohner, Kumar S. Vidhyaa, Ethiraju Thandapani Mar 2022

Oscillation Of Noncanonical Second-Order Advanced Differential Equations Via Canonical Transform, Martin Bohner, Kumar S. Vidhyaa, Ethiraju Thandapani

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we develop a new technique to deduce oscillation of a second-order noncanonical advanced differential equation by using established criteria for second-order canonical advanced differential equations. We illustrate our results by presenting two examples.

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Linking Soil Microbial Community Structure To Potential Carbon Mineralization: A Continental Scale Assessment Of Reduced Tillage, Elizabeth L. Rieke, Shannon B. Cappellazzi, Michael Cope, Daniel Liptzin, Gregory Mac Bean, Kelsey L.H. Greub, Charlotte E. Norris, Paul W. Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy I. Bary, Roland L. Baumhardt, Alberto Borbón Gracia, Daniel C. Brainard, Jameson R. Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron N. Carlyle, James J.W. Crawford, Cody F. Creech, Steve W. Culman, Bill Deen, Curtis J. Dell, Justin D. Derner, Thomas F. Ducey, Sjoerd W. Duiker, Miles F. Dyck, Benjamin H. Ellert, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann-Marie Fortuna, Jamie L. Foster, Lisa M. Fultz, Audrey V. Gamble, Charles M. Geddes, Deirdre Griffin-Lahue, John H. Grove, Stephen K. Hamilton, Xiying Hao, Zachary D. Hayden, Nora Honsdorf, Julie A. Howe, James A. Ippolito, Gregg A. Johnson, Mark A. Kautz, Newell R. Kitchen, Sandeep Kumar, Kirsten S.M. Kurtz, Francis J. Larney, Katie L. Lewis, Matt Liebman, Antonio Lopez Ramirez, Stephen Machado, Bijesh Maharjan, Miguel Angel Martinez Gamiño, William E. May, Mitchel P. Mcclaran, Marshall D. Mcdaniel, Neville Millar, Jeffrey P. Mitchell, Amber D. Moore, Philip A. Moore, Manuel Mora Gutiérrez, Kelly A. Nelson, Emmanuel C. Omondi, Shannon L. Osborne, Leodegario Osorio Alcalá, Philip Owens, Eugenia M. Pena-Yewtukhiw, Hanna J. Poffenbarger, Brenda Ponce Lira, Jennifer R. Reeve, Timothy M. Reinbott, Mark S. Reiter, Edwin L. Ritchey, Kraig L. Roozeboom, Yichao Rui, Amir Sadeghpour, Upendra M. Sainju, Gregg R. Sanford, William F. Schillinger, Robert R. Schindelbeck, Meagan E. Schipanski, Alan J. Schlegel, Kate M. Scow, Lucretia A. Sherrod, Amy L. Shober, Sudeep S. Sidhu, Ernesto Solís Moya, Mervin St Luce, Jeffrey S. Strock, Andrew E. Suyker, Virginia R. Sykes, Haiying Tao, Alberto Trujillo Campos, Laura L. Van Eerd, Nele Verhulst, Tony J. Vyn, Yutao Wang, Dexter B. Watts, Bryan B. William, David L. Wright, Tiequan Zhang, Cristine L.S. Morgan, C. Wayne Honeycutt Mar 2022

Linking Soil Microbial Community Structure To Potential Carbon Mineralization: A Continental Scale Assessment Of Reduced Tillage, Elizabeth L. Rieke, Shannon B. Cappellazzi, Michael Cope, Daniel Liptzin, Gregory Mac Bean, Kelsey L.H. Greub, Charlotte E. Norris, Paul W. Tracy, Ezra Aberle, Amanda Ashworth, Oscar Bañuelos Tavarez, Andy I. Bary, Roland L. Baumhardt, Alberto Borbón Gracia, Daniel C. Brainard, Jameson R. Brennan, Dolores Briones Reyes, Darren Bruhjell, Cameron N. Carlyle, James J.W. Crawford, Cody F. Creech, Steve W. Culman, Bill Deen, Curtis J. Dell, Justin D. Derner, Thomas F. Ducey, Sjoerd W. Duiker, Miles F. Dyck, Benjamin H. Ellert, Avelino Espinosa Solorio, Steven J. Fonte, Simon Fonteyne, Ann-Marie Fortuna, Jamie L. Foster, Lisa M. Fultz, Audrey V. Gamble, Charles M. Geddes, Deirdre Griffin-Lahue, John H. Grove, Stephen K. Hamilton, Xiying Hao, Zachary D. Hayden, Nora Honsdorf, Julie A. Howe, James A. Ippolito, Gregg A. Johnson, Mark A. Kautz, Newell R. Kitchen, Sandeep Kumar, Kirsten S.M. Kurtz, Francis J. Larney, Katie L. Lewis, Matt Liebman, Antonio Lopez Ramirez, Stephen Machado, Bijesh Maharjan, Miguel Angel Martinez Gamiño, William E. May, Mitchel P. Mcclaran, Marshall D. Mcdaniel, Neville Millar, Jeffrey P. Mitchell, Amber D. Moore, Philip A. Moore, Manuel Mora Gutiérrez, Kelly A. Nelson, Emmanuel C. Omondi, Shannon L. Osborne, Leodegario Osorio Alcalá, Philip Owens, Eugenia M. Pena-Yewtukhiw, Hanna J. Poffenbarger, Brenda Ponce Lira, Jennifer R. Reeve, Timothy M. Reinbott, Mark S. Reiter, Edwin L. Ritchey, Kraig L. Roozeboom, Yichao Rui, Amir Sadeghpour, Upendra M. Sainju, Gregg R. Sanford, William F. Schillinger, Robert R. Schindelbeck, Meagan E. Schipanski, Alan J. Schlegel, Kate M. Scow, Lucretia A. Sherrod, Amy L. Shober, Sudeep S. Sidhu, Ernesto Solís Moya, Mervin St Luce, Jeffrey S. Strock, Andrew E. Suyker, Virginia R. Sykes, Haiying Tao, Alberto Trujillo Campos, Laura L. Van Eerd, Nele Verhulst, Tony J. Vyn, Yutao Wang, Dexter B. Watts, Bryan B. William, David L. Wright, Tiequan Zhang, Cristine L.S. Morgan, C. Wayne Honeycutt

Agricultural and Environmental Sciences Faculty Research

Potential carbon mineralization (Cmin) is a commonly used indicator of soil health, with greater Cmin values interpreted as healthier soil. While Cmin values are typically greater in agricultural soils managed with minimal physical disturbance, the mechanisms driving the increases remain poorly understood. This study assessed bacterial and archaeal community structure and potential microbial drivers of Cmin in soils maintained under various degrees of physical disturbance. Potential carbon mineralization, 16S rRNA sequences, and soil characterization data were collected as part of the North American Project to Evaluate Soil Health Measurements (NAPESHM). Results showed that type of cropping system, intensity of physical …

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Evaluation Of Hydrodynamic Effects Of Waterway Restoration On An Estuarine Ecosystem, Megan Kramer Mar 2022

Evaluation Of Hydrodynamic Effects Of Waterway Restoration On An Estuarine Ecosystem, Megan Kramer

USF Tampa Graduate Theses and Dissertations

Estuaries are hydrodynamically complex for they are influenced by tidal forces, freshwater flows, salinity variations, and often intricate coastal land morphology. Furthermore, many estuaries are subject to constant anthropogenic stresses due to dense coastal populations, which are expected to be exacerbated by changing climate trends. The 1,800 home residential Manchester Waterway (MW) community located in Charlotte Harbor (along the Gulf of Mexico in Southwest Florida), is interested in improving boat access by restoring a previous connection between the local waterway and the harbor, separated by a barrier peninsula. The proposed connections aim to reduce boat traffic and travel time through …

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Split Classification Model For Complex Clustered Data, Katherine Gerot Mar 2022

Split Classification Model For Complex Clustered Data, Katherine Gerot

Honors Theses

Classification in high-dimensional data has generated tremendous interest in a multitude of fields. Data in higher dimensions often tend to reside in non-Euclidean metric space. This prevents Euclidean-based classification methodologies, such as regression, from reliably modeling the data. Many proposed models rely on computationally-complex embedding to convert the data to a more usable format. Others, namely the Support Vector Machine, rely on kernel manipulation to implicitly describe the "feature space" to arrive at a non-linear decision boundary. The proposed methodology in this paper seeks to classify complex data in a relatively computationally-simple and explainable manner.

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A Unified Spproach To Schrödinger Evolution Of Superoscillations And Supershifts, Yakir Aharonov, Jussi Behrndt, Fabrizio Colombo, Peter Schlosser Mar 2022

A Unified Spproach To Schrödinger Evolution Of Superoscillations And Supershifts, Yakir Aharonov, Jussi Behrndt, Fabrizio Colombo, Peter Schlosser

Mathematics, Physics, and Computer Science Faculty Articles and Research

Superoscillating functions and supershifts appear naturally in weak measurements in physics. Their evolution as initial conditions in the time-dependent Schrödinger equation is an important and challenging problem in quantum mechanics and mathematical analysis. The concept that encodes the persistence of superoscillations during the evolution is the (more general) supershift property of the solution. In this paper, we give a unified approach to determine the supershift property for the solution of the time-dependent one-dimensional Schrödinger equation. The main advantage and novelty of our results is that they only require suitable estimates and regularity assumptions on the Green’s function, but not its …

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Home: “People As Place”, Amory Ballantine Mar 2022

Home: “People As Place”, Amory Ballantine

MSW Capstones

Crises of climate breakdown, ocean acidification, mass extinction, pollution and other forms of environmental degradation demand global transformation. Direct and clinical social workers are on the front lines of responses to the social consequences of these crises. They have critical skills needed for socially and environmentally sustainable solutions to these problems. Yet for the most part, direct and clinical social workers are not engaged in environmental action and do not see their work as “environmental social work.” Micro-level workers need information and resources in order to integrate environmental health in practice, and particularly tools which center the needs of the …

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Pitfalls And Guidelines For Using Time-Based Git Data, Samuel W. Flint, Jigyasa Chauhan, Robert Dyer Mar 2022

Pitfalls And Guidelines For Using Time-Based Git Data, Samuel W. Flint, Jigyasa Chauhan, Robert Dyer

School of Computing: Faculty Publications

Many software engineering research papers rely on time-based data (e.g., commit timestamps, issue report creation/update/close dates, release dates). Like most real-world data however, time-based data is often dirty. To date, there are no studies that quantify how frequently such data is used by the software engineering research community, or investigate sources of and quantify how often such data is dirty. Depending on the research task and method used, including such dirty data could affect the research results. This paper presents an extended survey of papers that utilize time-based data, published in the Mining Software Repositories (MSR) conference series. Out of …

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Assessing Changes In Actual Air Quality And Public Perceptions Of Air Quality In Kathmandu Valley Nepal Pre And Post Covid-19 Lockdown, Robin Margherita Rives Mar 2022

Assessing Changes In Actual Air Quality And Public Perceptions Of Air Quality In Kathmandu Valley Nepal Pre And Post Covid-19 Lockdown, Robin Margherita Rives

USF Tampa Graduate Theses and Dissertations

Air pollution is a global concern. Cities around the world fail to meet air quality standards set by the World Health Organization Air Quality Guidelines, which has a significant impact on public health. As the capital city and largest metropolitan region of Nepal, Kathmandu is a hotspot for urban pollution in South Asia. Nepal faces emissions from both internal and external sources. External sources include emissions from Nepal’s neighboring countries of India and China and emissions resulting from tourism. Internal sources of pollution in the country include brick and cement factories, consumption of energy from traditional sources such as biomass, …

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The Design Of An Agricultural Youth-Centered Rural Development Program In Rwanda, Laetitia Igiraneza Sinyigenga Mar 2022

The Design Of An Agricultural Youth-Centered Rural Development Program In Rwanda, Laetitia Igiraneza Sinyigenga

Honors Theses

Rwanda is primarily a rural, young, and agriculture-based country. The referred variables- agriculture, rural population, and youth- can be creatively merged to engage and empower youth for rural development. This paper indicates the utilization of cross-disciplinary knowledge to design an agricultural youth-centered rural development program in Rwanda. The program uses the interdependence of economic sectors (agriculture and education) with resources (environmental & natural resources and human resources) to boost rural community development. The program’s main activities- mentorship, agribusiness training, tutoring, exposure visits, and community work- highly reflect the requirement for advancing the selected main economic sectors and resources. There is …

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Computational Data Of Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain, N. Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti Mar 2022

Computational Data Of Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain, N. Dimakis, Sanju Gupta, Razeen Wadud, Muhammad I. Bhatti

Physics and Astronomy Faculty Publications and Presentations

The data presented in this paper refer to the research article "Dry and Hydrated Defective Molybdenum Disulfide/Graphene Bilayer Heterojunction Under Strain for Hydrogen Evolution from Water Splitting: A First-principle Study". Here, we present the Density Functional Theory (DFT) data used to generate optimal geometries and electronic structure for the MoS2/graphene heterostructure under strain, for dry and hydrated pristine and defect configurations. We also report DFT data used to obtain hydrogen Gibbs free energies for adsorption on the MoS2 monolayer and on graphene of the heterostructure. The DFT data were calculated using the periodic DFT code CRYSTAL17, which employs Gaussian basis …

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Room Temperature Phosphorescence Material For Use In Low-Cost Lighting Technology, Mujeebat Bashiru Mar 2022

Room Temperature Phosphorescence Material For Use In Low-Cost Lighting Technology, Mujeebat Bashiru

Arkansas Women in STEM Conference

Light is a key element in our daily lives. An environment with eye catching navigation to offices, lecture halls and buildings is very essential in a high citadel of learning since the campus will always be occupied by students or diverse group of people trying to make way into their respective destination. Herein, the goal of the project is to investigate multifunctional carbazole compounds with ease of tunability to design, develop, and characterize (including basic understanding of the essential chemical and physical phenomena), using prompt and inexpensive methods. More specifically, photodynamic properties of newly designed carbazole-based cored compounds with room …

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Combination Chemo-Pdt Ionic Nanomedicines As Enhanced Therapeutics For Cancer, Samantha Macchi Mar 2022

Combination Chemo-Pdt Ionic Nanomedicines As Enhanced Therapeutics For Cancer, Samantha Macchi

Arkansas Women in STEM Conference

Cancer remains as one of the leading causes of death in humans worldwide. Nanotechnology has made great strides in improving treatment for the disease. This work describes a simplistic approach to design self-assembled combination nanomedicines. A facile one-step ion exchange reaction is utilized to combine a chemotherapeutic (phosphonium) cation and photodynamic therapeutic (porphyrin) anion. An aqueous nanomedicine is prepared from the hydrophobic ionic combination drug via a single-step reprecipitation method. Upon conversion to ionic combination drug, improved photophysical properties of porphyrin were observed. These characteristics subsequently led to increased photodynamic therapeutic activity of nanomedicines—explained by greater singlet oxygen quantum yield. …

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Surface Area Enhancement Of Doped Carbon Materials Via Novel Freeze-Pore Methodology, Iris Denmark Mar 2022

Surface Area Enhancement Of Doped Carbon Materials Via Novel Freeze-Pore Methodology, Iris Denmark

Arkansas Women in STEM Conference

Supercapacitors are one of today’s growing means of alternative energy. They are portable, produce much higher capacitance than traditional capacitors, and operate under lower voltages than that of batteries. Herein, we have synthesized a series of supercapacitor materials from sodium lignosulfonate, otherwise known as lignosol, which are co-doped with phosphorus and nitrogen. The materials are synthesized utilizing a green and time-efficient microwave irradiation process. Subsequently, these materials have been optimized by utilizing a novel process by which surface area and electrochemical properties is enhanced by freezing of their porous surface. Materials undergoing this method have shown significant increase in BET …

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Exploration Of Piccirillo's Trick On Low Crossing Number Knots, Gabriel Adams Mar 2022

Exploration Of Piccirillo's Trick On Low Crossing Number Knots, Gabriel Adams

Honors Theses

Piccirillo recently discovered a process that can be applied to an unknotting number one knot to convert it into a different knot called a Piccirillo dual. Piccirillo duals have been shown to have the same n-trace and the same sliceness. However, exploration and knowledge of this process is limited. We were able to generate the Piccirillo duals for several low-crossing number knots. We offer the foundation for and explain how to follow the Piccirillo process and generate Piccirillo duals. This talk assumes little knowledge of knot theory and concisely gives newcomers a clear introduction to get started working with Piccirillo …

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Deeprobot: A Hybrid Deep Neural Network Model For Social Bot Detection Based On User Profile Data, Kadhim Hayawi, Sujith Mathew, Neethu Venugopal, Mohammad M. Masud, Pin Han Ho Mar 2022

Deeprobot: A Hybrid Deep Neural Network Model For Social Bot Detection Based On User Profile Data, Kadhim Hayawi, Sujith Mathew, Neethu Venugopal, Mohammad M. Masud, Pin Han Ho

All Works

Use of online social networks (OSNs) undoubtedly brings the world closer. OSNs like Twitter provide a space for expressing one’s opinions in a public platform. This great potential is misused by the creation of bot accounts, which spread fake news and manipulate opinions. Hence, distinguishing genuine human accounts from bot accounts has become a pressing issue for researchers. In this paper, we propose a framework based on deep learning to classify Twitter accounts as either ‘human’ or ‘bot.’ We use the information from user profile metadata of the Twitter account like description, follower count and tweet count. We name the …

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Fenchel-Rockafellar Theorem In Infinite Dimensions Via Generalized Relative Interiors, Dang Van Cuong, Mau Nam Nguyen, B. S. Mordukhovich, G. Sandine Mar 2022

Fenchel-Rockafellar Theorem In Infinite Dimensions Via Generalized Relative Interiors, Dang Van Cuong, Mau Nam Nguyen, B. S. Mordukhovich, G. Sandine

Mathematics and Statistics Faculty Publications and Presentations

In this paper we provide further studies of the Fenchel duality theory in the general framework of locally convex topological vector (LCTV) spaces. We prove the validity of the Fenchel strong duality under some qualification conditions via generalized relative interiors imposed on the epigraphs and the domains of the functions involved. Our results directly generalize the classical Fenchel-Rockafellar theorem on strong duality from finite dimensions to LCTV spaces.

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Ruminant Livestock Production Systems And Imperatives For Sustainable Development, J. W. Smith Mar 2022

Ruminant Livestock Production Systems And Imperatives For Sustainable Development, J. W. Smith

IGC Proceedings (1993-2023)

No abstract provided.

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Biodiversity Conservation And Sustainable Livelihoods In Rangelands: Trends, Challenges And Opportunities, J. Waithaka Mar 2022

Biodiversity Conservation And Sustainable Livelihoods In Rangelands: Trends, Challenges And Opportunities, J. Waithaka

IGC Proceedings (1993-2023)

Rangelands cover about 54% of the earth’s surface and are essential for agricultural and livestock production, environmental protection and the in-situ conservation of genetic resources. Despite providing services that support life on earth, rangelands have been neglected to a large extent when compared to other types of ecosystems. This paper provides an overview of the importance of rangelands in conserving biodiversity and supporting the livelihoods of millions of people globally. Rangelands have lost ecological integrity due to unsustainable anthropogenic land-use changes and impacts. It is estimated that over 80% of Key Biodiversity Areas (KBAs) are either not adequately protected or …

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Feasibility Of Organic Certification Of Sheep And Goats Produced In Pastoral Systems In Northern Kenya, F. Von Steimker, H. T. Wario, B. Kaufmann Mar 2022

Feasibility Of Organic Certification Of Sheep And Goats Produced In Pastoral Systems In Northern Kenya, F. Von Steimker, H. T. Wario, B. Kaufmann

IGC Proceedings (1993-2023)

In pastoral systems of Kenya, sale of small ruminants is the main regular income source for most households. Although the meat of small ruminants produced in Marsabit county is preferred in the domestic market, no mechanisms are in place that allow for a respective price differentiation. Establishing value chains for labelled sheep and goat meat would be an option to allow pastoralists to profit from their high process and product quality. The aim of the current study is to assess the requirements and feasibility to establish a value chain for labelled products (e.g. origin labelled, organic certified) together with the …

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Uses Of Native Plant Species Of A Communal Rangeland Within ‘Sierra De Huautla’ Protected Area, México, E. Cortés-Díaz, T. González-Bonilla, L. López-Aguilar, Pedro A. Martínez-Hernández, A. Hernández-Tapia Mar 2022

Uses Of Native Plant Species Of A Communal Rangeland Within ‘Sierra De Huautla’ Protected Area, México, E. Cortés-Díaz, T. González-Bonilla, L. López-Aguilar, Pedro A. Martínez-Hernández, A. Hernández-Tapia

IGC Proceedings (1993-2023)

Sustainability of communal rangelands has become a major concern at national and international levels because land use conflicts and associated social conflicts allows for over-utilization of selected species making a high pressure on them and given away their places to species with no use at all becoming lands degraded and unproductive. The objective of the study was to determine floristic composition and native plant uses by local peasants. The range surface is of 4262 ha, belongs to the communal land ‘El Limon’, in Tepalcingo, Morelos, Mexico, and it is within the Natural Reserve Area “Sierra de Huautla”. Native vegetation is …

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Beta Macrophyta Diversity Analysis In The Temporary Pond Habitats Of Vettangudi Birds Sanctuary, Kannan Dorai Pandian, Mahesh Mony Mar 2022

Beta Macrophyta Diversity Analysis In The Temporary Pond Habitats Of Vettangudi Birds Sanctuary, Kannan Dorai Pandian, Mahesh Mony

IGC Proceedings (1993-2023)

Three temporary ponds of Vettangudi birds sanctuary situate in very close proximity, located in Sivaganga District, Tamil Nadu state of India. However similar eco-climatic conditions prevailing at these pond habitat, those ponds experience the varying nature of biotic interactions. Since the habitat conditions and their land-use pattern have the major role on the vegetation diversity. Temporary ponds of Vettangudi Birds Sanctuary has the characteristic alternate drying and inundation at varying levels and this environmental condition in addition to the biotic influence over the habitat ecology and its vegetation diversity. Understanding this specific relationship is pivotal in the development of management …

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Sustainable Intensification In Crop-Livestock Systems, P. Rovira, Paulo C. De F. Carvalho, J. Terra, F. Lattanzi, R. Pizzio, W. Ayala Mar 2022

Sustainable Intensification In Crop-Livestock Systems, P. Rovira, Paulo C. De F. Carvalho, J. Terra, F. Lattanzi, R. Pizzio, W. Ayala

IGC Proceedings (1993-2023)

Extensive livestock production is the main animal source food system in the Pampas and Campos sub-regions in South America. Beef cattle and sheep convert forage biomass that humans cannot eat into nutrient-dense human-edible foods (meat and milk) and valuable co-products (wool). However, diverse global pressures are acting on Pampas systems including increasing demand for protein sources (food security), climate change, environmental footprint, and competition for land. The integration of small areas of pasture-crop rotations is an alternative for increasing efficiency and sustainable intensification of agroecosystems based on natural grasslands. Rotations led by improved pastures increase the carrying capacity and productivity …

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Nutritional Sensitivity Per Morphological Component In Urochloa Hybrid Under Tropical Environments, Bernal-Flores Alvaro, E. A. Pizarro, Adrián R. Quero-Carrillo, Paulino Pérez-Rodríguez, Ramon Rodolfo Ruíz, Thiago Da Cruz Madeira Mar 2022

Nutritional Sensitivity Per Morphological Component In Urochloa Hybrid Under Tropical Environments, Bernal-Flores Alvaro, E. A. Pizarro, Adrián R. Quero-Carrillo, Paulino Pérez-Rodríguez, Ramon Rodolfo Ruíz, Thiago Da Cruz Madeira

IGC Proceedings (1993-2023)

Camello® (GP 3025) is a tolerant to drought Urochloa hybrid grass showing good forage production, early flowering with high regrowth rates. The objective was to define nutrient concentration changes by morphological component and, their differences for two tropical contrasting environments. Nutrient concentrations differences (P≤0.05) were observed among morphological components over time. In environments (Aw1) the morphological components showed higher average protein content in comparison to that from hostile conditions (Aw0); lamina (12.2% vs 10.4%), pseudostem (9.5% vs 6.6%) and sheath (9.8% vs 6.8%). Hostile environments (Aw0) promoted increases for FAD (47.9%, 46.9%, pseudostem …

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The Comparative Effects Of Short Duration, High Density And Conventional, Rotational Grazing On Different Soil, Vegetation And Animal Parameters In Dry And Mesic Grasslands Of South Africa, Jamie Paulse, Paul Malan, Nico Smit Mar 2022

The Comparative Effects Of Short Duration, High Density And Conventional, Rotational Grazing On Different Soil, Vegetation And Animal Parameters In Dry And Mesic Grasslands Of South Africa, Jamie Paulse, Paul Malan, Nico Smit

IGC Proceedings (1993-2023)

Short duration, high density grazing is a grazing management strategy that incorporates the rotation of large livestock herds, often at double or triple the normal prescribed stocking densities of the specific area. It is claimed that this type of grazing management can improve rangeland health by improving soil and vegetation condition, and subsequently influencing animal performance. Regardless of the scarcity of scientific evidence validating these claims, the change from conventional rotational grazing systems to short duration, high density grazing systems is on the increase in South Africa. This study aims to assess these claims, through the quantification of various rangeland …

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