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Frost Tolerance, Deacclimation And Reacclimation Traits In Perennial Ryegrass, Mats Höglind, Hans Martin Hanslin 2020 Norwegian Institute for Agricultural and Environmental Research, Norway

Frost Tolerance, Deacclimation And Reacclimation Traits In Perennial Ryegrass, Mats Höglind, Hans Martin Hanslin

International Grassland Congress Proceedings

The ability of perennial grasses to harden and maintain frost tolerance throughout the winter is crucial for winter survival. This includes the ability to resist deacclimation during transient mild spells in winter, and the ability to reacclimate when cold temperatures return. The latter traits are especially critical in regions with cycles of freezing and thawing, and lack of a stable, insulating snowcover that can protect the plants from extreme air temperatures. Such conditions are typical for many coastal areas in Northern Eurasia and America, such as the southwestern coast of Norway. The climate is changing and one of the consequences ...


Importance Of Grassland Management For Carbon Sequestration And To Mitigate Climate Change: A Review, Poonam Yadav, Sheela Choudhary, Sunil Dutt Choudhary, Praveen Kaushik 2020 Post Graduate Institute of Veterinary Education and Research, India

Importance Of Grassland Management For Carbon Sequestration And To Mitigate Climate Change: A Review, Poonam Yadav, Sheela Choudhary, Sunil Dutt Choudhary, Praveen Kaushik

International Grassland Congress Proceedings

Grasslands, including rangelands, shrub lands, pastureland, and cropland sown with pasture and fodder crops, covered approximately 3.5 billion ha in 2000, representing 26 percent of the world land area and 70 percent of the world agricultural area, and containing about 20 percent of the world’s soil carbon stocks (Ramankutty et al., 2008). All ecosystems- forested ecosystems, agro-ecosystems, grassland, ecosystems etc. take up atmospheric CO2 and mineral nutrients and transform them into organic products In undisturbed ecosystems, the carbon balance tends to be positive: carbon uptake through photosynthesis exceeds losses from respiration, even in mature, old-growth forest ecosystems ...


Effect Of Topographical Condition On Radioactive Cesium Pollution Of Herbaceous Plants In A Mountainous Grazing Pasture After Fukushima Dai-Ichi Nuclear Power Plant Accident, Shin-ichiro Ogura, Masanori Saito 2020 Tohoku University, Japan

Effect Of Topographical Condition On Radioactive Cesium Pollution Of Herbaceous Plants In A Mountainous Grazing Pasture After Fukushima Dai-Ichi Nuclear Power Plant Accident, Shin-Ichiro Ogura, Masanori Saito

International Grassland Congress Proceedings

The Great East Japan Earthquake on 11 March 2011, followed by tsunami, incurred the accident of the Fukushima Dai-Ichi Nuclear Power Station (NPS). The radioactive fallout was dispersed by wind and deposited in large part of eastern Japan by rainfall or snowfall after the accident (Chino et al., 2011; Katata et al., 2012; Terada et al., 2012). That caused extensive pollution by radioactive cesium (Cs) (the sum of 134Cs and 137Cs) in agricultural lands (MEXT, 2011) including permanent pastures and meadows. In mountainous areas, it can be thought that radioactive Cs migrated from convex to concave regions by snow melting ...


Sandy Buck '78: Seeing Light Amidst The Gloom, Gerry Boyle 2020 Colby College

Sandy Buck '78: Seeing Light Amidst The Gloom, Gerry Boyle

Colby Magazine

"If you look at the macro you could come to a grinding halt and throw your hand up. But when you look at the local, and even state and regional levels, there are reasons for hope." -Sandy Buck '78


Gail Carlson: Inspiring Students To Step Up, Gerry Boyle 2020 Colby College

Gail Carlson: Inspiring Students To Step Up, Gerry Boyle

Colby Magazine

"When you become a doomsday person, when you're really pessimistic, it's because you can't see that you can make a difference." -Gail Carlson, associate professor of environmental studies


Modeling The Effects Of Fentanyl And Narcan On The Opioid Epidemic In Allegheny County Using Mathematics, Lindsay Moskal, Lauren Sines, Rachael Neilan Ph.D. 2020 Duquesne University

Modeling The Effects Of Fentanyl And Narcan On The Opioid Epidemic In Allegheny County Using Mathematics, Lindsay Moskal, Lauren Sines, Rachael Neilan Ph.D.

Undergraduate Research and Scholarship Symposium

Starting in the 1990s, physicians across the United States have increasingly prescribed opioid pain relievers, which has given rise to the current opioid epidemic. As a result, there has been a drastic increase in the number of overdose fatalities. In 2017, the number of opioid overdose deaths peaked and the U.S. declared the crisis as a public health emergency. One state that has contributed significantly to this epidemic is Pennsylvania, which ranks first for the greatest number of overdose deaths and third for the highest death rate. In fact, Allegheny County has witnessed an overdose death rate that is ...


Modeling The Effects Of Fentanyl And Narcan On The Opioid Epidemic In Allegheny County Using Mathematics, Lindsay Moskal, Lauren Sines, Rachael Neilan Ph.D. 2020 Duquesne University

Modeling The Effects Of Fentanyl And Narcan On The Opioid Epidemic In Allegheny County Using Mathematics, Lindsay Moskal, Lauren Sines, Rachael Neilan Ph.D.

Undergraduate Research and Scholarship Symposium

Starting in the 1990s, physicians across the United States have increasingly prescribed opioid pain relievers, which has given rise to the current opioid epidemic. As a result, there has been a drastic increase in the number of overdose fatalities. In 2017, the number of opioid overdose deaths peaked and the U.S. declared the crisis as a public health emergency. One state that has contributed significantly to this epidemic is Pennsylvania, which ranks first for the greatest number of overdose deaths and third for the highest death rate. In fact, Allegheny County has witnessed an overdose death rate that is ...


D-Orbital Occupancy Of Transition Metal Oxides By X-Ray Absorption Near Edge Structure (Xanes), Eric Kurywczak 2020 Seton Hall University

D-Orbital Occupancy Of Transition Metal Oxides By X-Ray Absorption Near Edge Structure (Xanes), Eric Kurywczak

Seton Hall University Dissertations and Theses (ETDs)

XANES L2 and L3-edge X-Ray Absorption Near Edge Spectra (XANES) for 4d and 5d row transition metals (TM) oxides are assumed to be directly reflecting unoccupied d orbitals influenced by the local symmetry of the metal ion. XANES L2- and L3-edge data analysis through non-linear curve fitting allows for a unique, efficient look at the structural eccentricities of transition metal oxides. In this way it is possible to determine the oxidation state of a material as well as its site symmetry. We have used non-linear least-squares fitting across the near-edge region of ...


Prediction Of Drug-Drug Interaction Potential Using Machine Learning Approaches, Joseph Scavetta 2020 Rowan University

Prediction Of Drug-Drug Interaction Potential Using Machine Learning Approaches, Joseph Scavetta

Theses and Dissertations

Drug discovery is a long, expensive, and complex, yet crucial process for the benefit of society. Selecting potential drug candidates requires an understanding of how well a compound will perform at its task, and more importantly, how safe the compound will act in patients. A key safety insight is understanding a molecule's potential for drug-drug interactions. The metabolism of many drugs is mediated by members of the cytochrome P450 superfamily, notably, the CYP3A4 enzyme. Inhibition of these enzymes can alter the bioavailability of other drugs, potentially increasing their levels to toxic amounts. Four models were developed to predict CYP3A4 ...


Emerging Technologies In Healthcare: Analysis Of Unos Data Through Machine Learning, Reyhan Merekar 2020 CUNY Bernard M Baruch College

Emerging Technologies In Healthcare: Analysis Of Unos Data Through Machine Learning, Reyhan Merekar

Student Theses

The healthcare industry is primed for a massive transformation in the coming decades due to emerging technologies such as Artificial Intelligence (AI) and Machine Learning. With a practical application to the UNOS (United Network of Organ Sharing) database, this Thesis seeks to investigate how Machine Learning and analytic methods may be used to predict one-year heart transplantation outcomes. This study also sought to improve on predictive performances from prior studies by analyzing both Donor and Recipient data. Models built with algorithms such as Stacking and Tree Boosting gave the highest performance, with AUC’s of 0.6810 and 0.6804 ...


Real-Time Ad Click Fraud Detection, Apoorva Srivastava 2020 San Jose State University

Real-Time Ad Click Fraud Detection, Apoorva Srivastava

Master's Projects

With the increase in Internet usage, it is now considered a very important platform for advertising and marketing. Digital marketing has become very important to the economy: some of the major Internet services available publicly to users are free, thanks to digital advertising. It has also allowed the publisher ecosystem to flourish, ensuring significant monetary incentives for creating quality public content, helping to usher in the information age. Digital advertising, however, comes with its own set of challenges. One of the biggest challenges is ad fraud. There is a proliferation of malicious parties and software seeking to undermine the ecosystem ...


Load Balancing In Cloud Computing, Snehal Dhumal 2020 San Jose State University

Load Balancing In Cloud Computing, Snehal Dhumal

Master's Projects

Cloud computing is one of the top trending technologies which primarily focuses on the end user’s use cases. The service provider needs to provide services to many clients. These increasing number of requests from the clients are giving rise to the new inventions in the load scheduling algorithms. There are different scheduling algorithms which are already present in the cloud computing, and some of them includes the Shortest Job First (SJF), First Come First Serve (FCFS), Round Robin (RR) etc. Though there are different parameters to consider when load balancing in cloud computing, makespan (time difference between start time ...


Virtual Robot Locomotion On Variable Terrain With Adversarial Reinforcement Learning, Phong Nguyen 2020 San Jose State University

Virtual Robot Locomotion On Variable Terrain With Adversarial Reinforcement Learning, Phong Nguyen

Master's Projects

Reinforcement Learning (RL) is a machine learning technique where an agent learns

to perform a complex action by going through a repeated process of trial and error to maximize a well-defined reward function. This form of learning has found applications in robot locomotion where it has been used to teach robots to traverse complex terrain. While RL algorithms may work well in training robot locomotion, they tend to not generalize well when the agent is brought into an environment that it has never encountered before. Possible solutions from the literature include training a destabilizing adversary alongside the locomotive learning agent ...


Ternary Polar Intermetallics Within The Pt/Sn/R Systems (R = La− Sm): Stannides Or Platinides?, Melissa L. Rhodehouse, Volodymyr Smetana, Chris Celania, Anja-Verena Mudring, Gerd H. Meyer 2020 Iowa State University and Ames Laboratory

Ternary Polar Intermetallics Within The Pt/Sn/R Systems (R = La− Sm): Stannides Or Platinides?, Melissa L. Rhodehouse, Volodymyr Smetana, Chris Celania, Anja-Verena Mudring, Gerd H. Meyer

Ames Laboratory Accepted Manuscripts

Starting generally with a 4:6:3 molar ratio of Pt, Sn, and R (where R = La–Sm), with or without the application of a NaCl flux, seven ternary compounds were obtained as single crystals. The platinides Pt4Sn6R3 (R = La–Nd) crystallize with the Pt4Ge6Pr3 type of structure (oP52, Pnma, a = 27.6–27.8 Å, b = 4.59–4.64 Å, c = 9.33–9.40 Å). With R = Pr, Pt4Sn6Pr3–x (oP52, Pnma, a = 7.2863(3) Å, b = 4.4909(2) Å, c = 35.114(1) Å) is also obtained, which might be considered a ...


Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma 2020 San Jose State University

Network Traffic Based Botnet Detection Using Machine Learning, Anand Ravindra Vishwakarma

Master's Projects

The field of information and computer security is rapidly developing in today’s world as the number of security risks is continuously being explored every day. The moment a new software or a product is launched in the market, a new exploit or vulnerability is exposed and exploited by the attackers or malicious users for different motives. Many attacks are distributed in nature and carried out by botnets that cause widespread disruption of network activity by carrying out DDoS (Distributed Denial of Service) attacks, email spamming, click fraud, information and identity theft, virtual deceit and distributed resource usage for cryptocurrency ...


Simulating The Effect Of The Climate Change, Genotypes And Management On The Productivity Of Forage Cowpea In Semi-Arid Regions Of India, Suchit K. Rai, Sunil Kumar, D. Deb 2020 Indian Grassland and Fodder Research Institute, India

Simulating The Effect Of The Climate Change, Genotypes And Management On The Productivity Of Forage Cowpea In Semi-Arid Regions Of India, Suchit K. Rai, Sunil Kumar, D. Deb

International Grassland Congress Proceedings

Climate variability and change due to increase in green house gases concentration and the resultant increase in temperature has led to notable changes in different sectors including water and agriculture which would impact food security (Rai et al., 2014) in many regions of the developing world, which are largely dependent on rainfed and labor intensive agricultural production (Ziervogel and Calder, 2003). Eco-physiological models are widely used especially the potential impacts of climate change (Gitay et al., 2001; White et al., 2011). The cowpea (Vigna unguiculata (L.) Walp.) is an annual herbaceous legume cultivated for its edible seeds or for fodder ...


Change In Migration And Pasture Utilization By Brokpa Pastoral Nomads: A Sustainable Adaptation Strategy For Climate Sensitive Arunachal Pradesh!?, Sanjit Maiti, S. K. Jha, Sanchita Garai, Vijay Paul, G. Krishnan, A. K. Bera, D. Bhattacharya, S. M. Deb 2020 National Research Centre on Yak, India

Change In Migration And Pasture Utilization By Brokpa Pastoral Nomads: A Sustainable Adaptation Strategy For Climate Sensitive Arunachal Pradesh!?, Sanjit Maiti, S. K. Jha, Sanchita Garai, Vijay Paul, G. Krishnan, A. K. Bera, D. Bhattacharya, S. M. Deb

International Grassland Congress Proceedings

The north-eastern states of India specially Arunachal Pradesh, one of the bio-diversity hotspot, is expected to be greatly affected by climate change. Climate change will not only adversely impact the biodiversity of Arunachal Pradesh, but also affect the livelihood of local communities as they fully dependent on the natural resources. The Monpa is a primitive tribe inhabiting parts of West Kameng and Tawang district of Arunachal Pradesh. The pastoral nomad of the Monpa tribe is popularly known as Brokpa. Transhumance system of livestock mainly yak (Poephagus grunniens L.) rearing is their main source of livelihood. In recent past, challenges of ...


Integrated Evaluation Of Soil Carbon Budget By Manure Application On Forage Production, Mikinori Tsuiki, Ryo Sato, Shoji Matsuura, Mariko Shimizu, Ryusuke Hatano, Takatoshi Arita, Akinori Mori, Akira Miyata, Masayuki Hojito, Mitsuhiro Niimi 2020 Iwate University, Japan

Integrated Evaluation Of Soil Carbon Budget By Manure Application On Forage Production, Mikinori Tsuiki, Ryo Sato, Shoji Matsuura, Mariko Shimizu, Ryusuke Hatano, Takatoshi Arita, Akinori Mori, Akira Miyata, Masayuki Hojito, Mitsuhiro Niimi

International Grassland Congress Proceedings

Grasslands and forage crop fields produce forages and also have many services and functions such as repositories of biodiversity, climate regulation and soil conservation (Sala and Paruelo, 1997). Carbon budget is one of these important ecosystem services by high levels of carbon sequestration below ground (Hungate et al., 1997). Manure application increases carbon budget and also affects forage production, NO3- leaching to underground water and N2O emission to atmosphere. Integrated evaluation of these various environmental impacts is important to find optimum condition for forage production and environmental impacts. LIME2 (Life-cycle Impact assessment Method based on Endpoint modeling ...


Regulation Of Nitrification In Soil: Advances In Integration Of Brachiaria Hybrids To Intensify Agriculture And To Mitigate Climate Change, Jacobo Arango, Idupulapati M. Rao, Manabu Ishitani, John W. Miles, Michael Peters, Joe Tohme, Danilo E. Moreta, Margaret Worthington, Rein van der Hoek, Mario Cuchillo, Glenn Hyman, Jeimar Tapasco, Jesus Martinez 2020 Centro Internacional de Agricultura Tropical, Colombia

Regulation Of Nitrification In Soil: Advances In Integration Of Brachiaria Hybrids To Intensify Agriculture And To Mitigate Climate Change, Jacobo Arango, Idupulapati M. Rao, Manabu Ishitani, John W. Miles, Michael Peters, Joe Tohme, Danilo E. Moreta, Margaret Worthington, Rein Van Der Hoek, Mario Cuchillo, Glenn Hyman, Jeimar Tapasco, Jesus Martinez

International Grassland Congress Proceedings

Higher rates of nitrification in soil facilitate nitrogen (N) losses from agricultural systems through nitrate-leaching and denitrification. Plants’ ability to produce and release nitrification inhibitors from roots and suppress soil-nitrifier activity is termed ‘biological nitrification inhibition’ (BNI) (Subbarao et al., 2015). Up to 70% of applied N-fertilizer is lost (via NO3−leaching and gaseous-N emissions) from agricultural systems and the annual economic loss from lost N-fertilizer is estimated at 90 US$ billion. Previous research has indicated that Brachiaria humidicola (Bh), a tropical forage grass that is well adapted to infertile and waterlogged soils, has high capacity to inhibit nitrification in ...


Down Regulation Of Receptor Like Kinase Gene In Apomictic Cenchrus Ciliaris, Shashi, Anuj Dwivedi, Vishnu Bhat 2020 University of Delhi, India

Down Regulation Of Receptor Like Kinase Gene In Apomictic Cenchrus Ciliaris, Shashi, Anuj Dwivedi, Vishnu Bhat

International Grassland Congress Proceedings

Apomixis is a potential technology for agriculture to fix heterosis or hybrid vigor in hybrid plants. Cenchrus ciliaris which is a popular forage crop reproduces predominantly through apomixis and has been used as a model plant to understand genetic and molecular mechanisms controlling apomixis. A partial receptor like kinase gene (CcRLK) was isolated from apomictic C. ciliaris which showed exclusive expression in the embryo sacs of apomictic flowers compared to sexual embryo sacs during in situ hybridization analysis. This gene showed kinase and LRR domains implying its putative role in signaling pathways. In order to understand its functional significance, it ...


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