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215,164 full-text articles. Page 4 of 6051.

The Use Of Criteria And Indicator Monitoring Of Ecosystem Sustainability To Assess Ecosystem Services On Grasslands/Rangelands, R. Dennis Child, Janette Kaiser, Ralph Crawford 2020 University of Kentucky 81818app手机版下载

The Use Of Criteria And Indicator Monitoring Of Ecosystem Sustainability To Assess Ecosystem Services On Grasslands/Rangelands, R. Dennis Child, Janette Kaiser, Ralph Crawford

International Grassland Congress Proceedings

No abstract provided.


Applicability Of Criteria And Indicators For Sustainable Grassland Management To Rangelands Of Patagonia (Argentina), Gabriel E. Oliva, Andrés F. Cibils 2020 INTA, Argentina

Applicability Of Criteria And Indicators For Sustainable Grassland Management To Rangelands Of Patagonia (Argentina), Gabriel E. Oliva, Andrés F. Cibils

International Grassland Congress Proceedings

No abstract provided.


Indicators Of Sustainability In African Ranglands, Walter J. Lusigi, Leornad Berry 2020 The World Bank 81818app手机版下载

Indicators Of Sustainability In African Ranglands, Walter J. Lusigi, Leornad Berry

International Grassland Congress Proceedings

No abstract provided.


Concomitant Of Order Statistics From New Bivariate Gompertz Distribution, Sumit Kumar, M. J. S. Khan, Surinder Kumar 2020 Babasaheb Bhimrao Ambedkar University

Concomitant Of Order Statistics From New Bivariate Gompertz Distribution, Sumit Kumar, M. J. S. Khan, Surinder Kumar

Journal of Modern Applied Statistical Methods

For the new bivariate Gompertz distribution, the expression for probability density function (pdf) of rth order statistics and pdf of concomitant arising from rth order statistics are derived. The properties of concomitant arising from the corresponding order statistics are used to derive these results. The exact expression for moment generating function (mgf) of concomitant of order rth statistics is derived. Also, the mean of concomitant arising from rth order statistics is computed using the mgf of concomitant of rth order statistics, and the exact expression for joint density of concomitant of two non-adjacent order statistics ...


Three-Dimensional Profiling Of Oled By Laser Desorption Ionization-Mass Spectrometry Imaging, Andrew E. Paulson, Trevor T. Forsman, Young Jin Lee 2020 Iowa State University

Three-Dimensional Profiling Of Oled By Laser Desorption Ionization-Mass Spectrometry Imaging, Andrew E. Paulson, Trevor T. Forsman, Young Jin Lee

Chemistry Publications

Organic light emitting devices (OLEDs), especially in a screen display format, present unique and interesting substrates for Laser Desorption/Ionization - Mass Spectrometry Imaging (LDI-MSI) analysis. These devices contain many compounds that inherently absorb light energy and do not require an additional matrix to induce desorption and ionization. OLED screens have lateral features with dimensions that are tens of microns in magnitude and depth features that are tens to hundreds of nanometers thick. Monitoring the chemical composition of these features is essential, as contamination and degradation can impact device lifetime. This work demonstrates the capability of LDI-MSI to obtain lateral and ...


Experiences With Grazing The New Annual Pasture Legume Biserrula Pelecinus L. In Southern Australia Production Benefits And Risk Of Photosensitisation, Clinton K. Revell, N. Robertson, I. Williams 2020 Department of Agriculture and Food Western Australia, Australia

Experiences With Grazing The New Annual Pasture Legume Biserrula Pelecinus L. In Southern Australia Production Benefits And Risk Of Photosensitisation, Clinton K. Revell, N. Robertson, I. Williams

International Grassland Congress Proceedings

81818app手机版下载No abstract provided.


Grazing Impacts On The Dynamics Of Two Long Lived Perennial Grasses In Tropical Australia, David M. Orr, P. J. O'Reagain 2020 Department of Primary Industries and Fisheries, Australia

Grazing Impacts On The Dynamics Of Two Long Lived Perennial Grasses In Tropical Australia, David M. Orr, P. J. O'Reagain

International Grassland Congress Proceedings

No abstract provided.


Testing Non‐Equilibrium Theory: Effects Of Grazing On Plant Community Composition And Soil Nutrient Availability In Dry Southern Mongolian Steppes, Karsten Wesche, Katrin Ronnenberg 2020 Geobotany and Botanical Garden, Germany 81818app手机版下载

Testing Non‐Equilibrium Theory: Effects Of Grazing On Plant Community Composition And Soil Nutrient Availability In Dry Southern Mongolian Steppes, Karsten Wesche, Katrin Ronnenberg

International Grassland Congress Proceedings

No abstract provided.


The Use Of Faecal Nirs To Monitor Diet Quality Different Grazing Systems In Tropical Savannas, Andrew I. White, L. P. Hunt, S. R. Petty, Dennis P. Poppi 2020 Heytesbury Beef, Australia

The Use Of Faecal Nirs To Monitor Diet Quality Different Grazing Systems In Tropical Savannas, Andrew I. White, L. P. Hunt, S. R. Petty, Dennis P. Poppi

International Grassland Congress Proceedings

No abstract provided.


Linear Analysis Method To Calculate The Specific Forage Ingestion By Livestock, Andrea Pardini, V. Pratesi, N. Staglianò 2020 University of Florence, Italy

Linear Analysis Method To Calculate The Specific Forage Ingestion By Livestock, Andrea Pardini, V. Pratesi, N. Staglianò

International Grassland Congress Proceedings

No abstract provided.


Effects Of Oxidative Modifications On The Structure And Non-Canonical Functions Of Cytochrome C Studied By Mass Spectrometry, Victor Yin 2020 The University of Western Ontario

Effects Of Oxidative Modifications On The Structure And Non-Canonical Functions Of Cytochrome C Studied By Mass Spectrometry, Victor Yin

Electronic Thesis and Dissertation Repository

The peroxidase activity of the mitochondrial protein cytochrome c (cyt c) plays a critical role in triggering programmed cell death, or apoptosis. However, the native structure of cyt c should render this activity impossible due to the lack of open iron coordination sites at its heme cofactor. Despite its key biological importance, the molecular mechanisms underlying this structure-function mismatch remain enigmatic. The work detailed in this dissertation fills this knowledge gap by using mass spectrometry (MS) to decipher the central role that protein oxidative modifications and their associated structural changes play in activating the peroxidase function of cyt c.

81818app手机版下载Chapter ...


Topic Modeling To Understand Technology Talent, Chad Madding, Allen Ansari, Chris Ballenger, Aswini Thota 2020 Southern Methodist University

Topic Modeling To Understand Technology Talent, Chad Madding, Allen Ansari, Chris Ballenger, Aswini Thota

SMU Data Science Review

81818app手机版下载Attracting technology talent in today’s hiring climate is more complicated than ever. Recruiting for technology talent in non-technology industries is even more challenging. This intense hiring landscape is motivating companies not only to attract the right talent but also to create a culture that can retain and grow that talent. In this paper, we developed algorithms and present insights that use data provided in reviews to glean information employers can use to address or even change their priorities to meet the demands of an ever-changing job market. The core of our research is to investigate and attribute the role ...


Cover Song Identification - A Novel Stem-Based Approach To Improve Song-To-Song Similarity Measurements, Lavonnia Newman, Dhyan Shah, Chandler Vaughn, Faizan Javed 2020 Southern Methodist University

Cover Song Identification - A Novel Stem-Based Approach To Improve Song-To-Song Similarity Measurements, Lavonnia Newman, Dhyan Shah, Chandler Vaughn, Faizan Javed

SMU Data Science Review

Music is incorporated into our daily lives whether intentional or unintentional. It evokes responses and behavior so much so there is an entire study dedicated to the psychology of music. Music creates the mood for dancing, exercising, creative thought or even relaxation. It is a powerful tool that can be used in various venues and through advertisements to influence and guide human reactions. Music is also often "borrowed" in the industry today. The practices of sampling and remixing music in the digital age have made cover song identification an active area of research. While most of this research is focused ...


Time Series Analysis Of Offshore Buoy Light Detection And Ranging (Lidar) Windspeed Data, Aditya Garapati, Charles J. Henderson, Carl Walenciak, Brian T. Waite 2020 Southern Methodist University

Time Series Analysis Of Offshore Buoy Light Detection And Ranging (Lidar) Windspeed Data, Aditya Garapati, Charles J. Henderson, Carl Walenciak, Brian T. Waite

SMU Data Science Review

In this paper, modeling techniques for the forecasting of wind speed using historical values observed by Light Detection and Ranging (LIDAR) sensors in an offshore context are described. Both univariate time series and multivariate time series modeling techniques leveraging meteorological data collected simultaneously with the LIDAR data are evaluated for potential contributions to predictive ability. Accurate and timely ability to predict wind values is essential to the effective integration of wind power into existing power grid systems. It allows for both the management of rapid ramp-up / down of base production capacity due to highly variable wind power inputs and integration ...


Toxic Language Detection Using Robust Filters, Deepti Kunupudi, Shantanu Godbole, Pankaj Kumar, Suhas Pai 2020 Southern Methodist University(SMU) 81818app手机版下载

Toxic Language Detection Using Robust Filters, Deepti Kunupudi, Shantanu Godbole, Pankaj Kumar, Suhas Pai

SMU Data Science Review

Social networks sometimes become a medium for threats, insults, and other types of cyberbullying. A large number of people are involved in online social networks. Hence, the protection of network users from anti-social behavior is a critical activity [19]. One of the significant tasks of such activity is the detection of toxic language. Abusive/Toxic language in user-generated online content has become an issue of increasing importance in recent years. Most current commercial methods use blacklists and regular expressions; however, these measures fall short when contending with more subtle, lesser-known examples of hate speech, profanity, or swearing[6]. Abusive language ...


Reducing Age Bias In Machine Learning: An Algorithmic Approach, Adriana Solange Garcia de Alford, Steven K. Hayden, Nicole Wittlin, Amy Atwood 2020 Southern Methodist University 81818app手机版下载

Reducing Age Bias In Machine Learning: An Algorithmic Approach, Adriana Solange Garcia De Alford, Steven K. Hayden, Nicole Wittlin, Amy Atwood

SMU Data Science Review

81818app手机版下载In this paper, we study the prevalence of bias in machine learning; we explore the life cycle phases where bias is potentially introduced into a machine learning model; and lastly, we present how adversarial learning can be leveraged to measure unwanted bias and unfair behavior from a machine learning algorithm. This study focuses particularly on the topics of age bias in predicting employee attrition and presents a practical approach for how adversarial learning can be successful in mitigating age bias. To measure bias, we calculate group fairness metrics across five-year age groups and evaluate fairness between a baseline predictive model ...


Forecasting Spare Parts Sporadic Demand Using Traditional Methods And Machine Learning - A Comparative Study, Bhuvana Adur Kannan, Ganesh Kodi, Oscar Padilla, Dough Gray, Barry C. Smith 2020 Southern Methodist University

Forecasting Spare Parts Sporadic Demand Using Traditional Methods And Machine Learning - A Comparative Study, Bhuvana Adur Kannan, Ganesh Kodi, Oscar Padilla, Dough Gray, Barry C. Smith

SMU Data Science Review

Sporadic demand presents a particular challenge to traditional time forecasting methods. In the past 50 years, there has been developments, such as, the Croston Model [3], which has improved forecast performance. With the rise of Machine Learning (ML) there is abundant research in the field of applying ML algorithms to predict sporadic demand [8][12][9]. However, most existing research has analyzed this problem from the demand side [17]. In this paper, we tackle this predictive analytics challenge from the supply side. We perform a comparative analysis utilizing a spare parts demand dataset from an Original Equipment Manufacturer (OEM). Since ...


Floor Regularization And Investigation Of Transfer Learning Through Sharing Of Probability Distribution Parameters, Daniel Byrne, Stacey Smith, Joanna Duran, John Santerre 2020 Southern Methodist University 81818app手机版下载

Floor Regularization And Investigation Of Transfer Learning Through Sharing Of Probability Distribution Parameters, Daniel Byrne, Stacey Smith, Joanna Duran, John Santerre

SMU Data Science Review

81818app手机版下载In this work we introduce a simple new regularization technique, aptly named Floor, which drops low weight connections on every forward pass whenever they fall below a specified event horizon threshold. We compare the results of this technique side by side on identical network architectures between regular Dropout and Floor algorithms. We report similar or improved regularization, with the Floor algorithm versus regular Dropout and/or in concert with regular Dropout.

In this paper we also describe our research into transfer learning by sharing of probability distribution parameters in which we investigated methods of transferring Gaussian prior parameters derived from ...


Monitoring Of Inner Mongolian Grassland Using Sustainable Roundtable Indictors, Mengli Zhao, Guodong Han, Mingjun Wang, Xiaoyu Wang, Chunli Li, Zhongwu Wang, Dennis Chlld, Lakhdar Benkobi, Walter D. Willms 2020 Inner Mongolia Agricultural University, China 81818app手机版下载

Monitoring Of Inner Mongolian Grassland Using Sustainable Roundtable Indictors, Mengli Zhao, Guodong Han, Mingjun Wang, Xiaoyu Wang, Chunli Li, Zhongwu Wang, Dennis Chlld, Lakhdar Benkobi, Walter D. Willms

International Grassland Congress Proceedings

81818app手机版下载No abstract provided.


Indicators Of Sustainability For Production And Biodiversity Conservation In Australian Rangelands, Margaret H. Friedel, G. N. Bastin, A. K. Smyth 2020 CSIRO, Australia 81818app手机版下载

Indicators Of Sustainability For Production And Biodiversity Conservation In Australian Rangelands, Margaret H. Friedel, G. N. Bastin, A. K. Smyth

International Grassland Congress Proceedings

No abstract provided.