Physical Sciences and Mathematics Commons^™

Productivity Of Sahiwal And Friesian-Sahiwal Crossbreds In Marginal Grasslands Of Kenya, W. B. Muhuyi, F. B. Lukibisi, S. N. Ole Sinkeet

IGC Proceedings (1993-2023)

Dual-purpose cattle can be used to exploit the production potential of semi-arid grasslands of Kenya for milk and meat production. Although the Sahiwal is adapted to these grasslands, its productivity is low. In order to increase milk and meat productivity, the Sahiwal has been crossed with the Friesian to produce Friesian-Sahiwal crossbreds (McDowell et al., 1996) adapted to the tropical environment. The objective of this study was to evaluate the productivity of Sahiwal and Friesian-Sahiwal crossbreds.

Identifying Features And Predicting Consumer Helpfulness Of Product Reviews, Triston Hudgins, Shijo Joseph, Douglas Yip, Gaston Besanson

SMU Data Science Review

Major corporations utilize data from online platforms to make user product or service recommendations. Companies like Netflix, Amazon, Yelp, and Spotify rely on purchasing trends, user reviews, and helpfulness votes to make content recommendations. This strategy can increase user engagement on a company's platform. However, misleading and/or spam reviews significantly hinder the success of these recommendation strategies. The rise of social media has made it increasingly difficult to distinguish between authentic content and advertising, leading to a burst of deceptive reviews across the marketplace. The helpfulness of the review is subjective to a voting system. As such, this study aims …

Bridging The Chasm Between Fundamental, Momentum, And Quantitative Investing, Allen Hoskins, Jeff Reed, Robert Slater

SMU Data Science Review

A chasm exists between the active public equity investment management industry's fundamental, momentum, and quantitative styles. In this study, the researchers explore ways to bridge this gap by leveraging domain knowledge, fundamental analysis, momentum, crowdsourcing, and data science methods. This research also seeks to test the developed tools and strategies during the volatile time period of 2020 and 2021.

Question Answering With Distilled Bert Models: A Case Study For Biomedical Data, Brittany Lewandowski, Rayon Morris, Pearly Merin Paul, Robert Slater

SMU Data Science Review

In the healthcare industry today, 80% of data is unstructured (Razzak et al., 2019). The challenge this imposes on healthcare providers is that they rely on unstructured data to inform their decision-making. Although Electronic Health Records (EHRs) exist to integrate patient data, healthcare providers are still challenged with searching for information and answers contained within unstructured data. Prior NLP and Deep Learning research has shown that these methods can improve information extraction on unstructured medical documents. This research expands upon those studies by developing a Question Answering system using distilled BERT models. Healthcare providers can use this system on their …

Comparison Of Sampling Methods For Predicting Wine Quality Based On Physicochemical Properties, Robert Burigo, Scott Frazier, Eli Kravez, Nibhrat Lohia

SMU Data Science Review

Using the physicochemical properties of wine to predict quality has been done in numerous studies. Given the nature of these properties, the data is inherently skewed. Previous works have focused on handful of sampling techniques to balance the data. This research compares multiple sampling techniques in predicting the target with limited data. For this purpose, an ensemble model is used to evaluate the different techniques. There was no evidence found in this research to conclude that there are specific oversampling methods that improve random forest classifier for a multi-class problem.

Following The Crowd: Beginners Investors Guide To The Options Market, Jeremy Dawkins, Alexy Morris, Jacob Gipson, Masoud Valizadeh

SMU Data Science Review

While the options market may be intimidating for a beginner, having the right tools can help improve the outcome of their investments. This project aims to develop a tool that uses time-series analysis and forecasting to model the future demand of S&P 500 and AAPL options contracts. The open interest of these contracts will be analyzed using various models such as AR, ARIMA, Neural Networks, and VAR, along with the put-call ratio. The goal is not to make buy or sell recommendations, but alert the user when money is flowing into a security or index. Of all the models, the …

The Role Of Machine Learning In Improved Functionality Of Lower Limb Prostheses, Joaquin Dominguez, Richard Kim, Robert Slater

SMU Data Science Review

Lower-limb amputations can cause a plethora of obstacles that lead to a lower quality of life. Implementing machine learning techniques means advanced prosthetics can contribute to facilitating the lives of those that live with lower-limb amputations. Using the publicly available HuGaDB data set, the current study investigates several classification models (random forest, neural network, and Vowpal Wabbit) to predict the locomotive intentions of individuals using lower-limb prostheses. The results of this study show that the neural network model yielded the highest accuracy, comparable precision, and recall scores to the other models. However, the Vowpal Wabbit model's advantage in speed may …

Using Nlp To Model U.S. Supreme Court Cases, Katherine Lockard, Robert Slater, Brandon Sucrese

SMU Data Science Review

The advantages of employing text analysis to uncover policy positions, generate legal predictions, and inform or evaluate reform practices are multifold. Given the far-reaching effects of legislation at all levels of society these insights and their continued improvement are impactful. This research explores the use of natural language processing (NLP) and machine learning to predictively model U.S. Supreme Court case outcomes based on textual case facts. The final model achieved an F1-score of .324 and an AUC of .68. This suggests that the model can distinguish between the two target classes; however, further research is needed before machine learning models …

Content-Based Unsupervised Fake News Detection On Ukraine-Russia War, Yucheol Shin, Yvan Sojdehei, Limin Zheng, Brad Blanchard

SMU Data Science Review

The Ukrainian-Russian war has garnered significant attention worldwide, with fake news obstructing the formation of public opinion and disseminating false information. This scholarly paper explores the use of unsupervised learning methods and the Bidirectional Encoder Representations from Transformers (BERT) to detect fake news in news articles from various sources. BERT topic modeling is applied to cluster news articles by their respective topics, followed by summarization to measure the similarity scores. The hypothesis posits that topics with larger variances are more likely to contain fake news. The proposed method was evaluated using a dataset of approximately 1000 labeled news articles related …

Professor Text: University Fundraising Optimization, Braden Anderson, Connor Dobbs, Hien Lam, John Santerre

SMU Data Science Review

University fundraising campaigns are a unique type of cause-related marketing with its own challenges and opportunities. Campaigns like this typically last an extended period, such as five or more years, and goals exist beyond the dollar amount raised. These supplemental goals, such as awareness among potential future donators or brand reputation within the local community, are important to consider and strategize. There can also be unique limitations, such as requiring advertising specifically on recent large gifts or endowment programs. This research explores how machine learning techniques such as natural language processing can be used to optimize a fundraising campaign strategy, …

Extending The M3-Competition: Category And Interval-Specific Time Series Forecasting, Will Sherman, Kati Schuerger, Randy Kim, Bivin Sadler

SMU Data Science Review

The M3-Competition found that simple models outperform more complex ones for time series forecasting. As part of these competitions, several claims were made that statistical models exceeded machine learning (ML) techniques, such as recurrent neural networks (RNN), in prediction performance. These findings may over-generalize the capabilities of statistical models since the analysis measured the total forecasting accuracy across a wide range of industries and fields and with different interval lengths. This investigation aimed to assess how statistical and ML methods compared when individuating series by category and time interval. Utilizing the M3 data and building individual models using Facebook© Prophet …

The Effects Of A High Grass Input Feeding System Compared To High Concentrate Input Feeding System Offered To Spring Calving Dairy Cows In Early Lactation, E. Kennedy, M. O'Donovan, J. P. Murphy, F. P. O'Mara, L. Delaby

IGC Proceedings (1993-2023)

Grazed grass is the cheapest feed available on Irish dairy farms. The inclusion of grass in the diet of the spring-calving dairy cow in early lactation is recommended. Previous studies focused on introducing grazed herbage into the cows diet in early spring in conjunction with grass silage and concentrate, and compared this to cows fed indoors. The objective of this study was to compare the milk production and feed budget of two contrasting early lactation feeding regimes. One regime was based on a high herbage inclusion with a low concentrate level (HG), while the other was based on a high …

A Comparison Of A Full Time Grazing And A Partial Storage Feeding System, For Dairy Cows, C. P. Ferris, D. C. Patterson

IGC Proceedings (1993-2023)

Partial storage feeding has been adopted by a number of Northern Ireland dairy farmers in recent years. This is due in part to increasing cow numbers, and as such, insufficient pasture close to the milking parlour to permit full time grazing. Partial storage feeding may also have environmental benefits, as well as reducing labour requirements associated with 'droving' and pasture management. In view of this, a study was undertaken to examine animal performance with either a full-time grazing, or a partial storage feeding regime.

Effect Of A Summer Period At Pasture On The Performance Of Young Bulls Offered Concentrates Ad Libitum, R. J. Fallon, M. G. Keane

IGC Proceedings (1993-2023)

Holstein bull calves can produce a 250 kg carcass at 11 to 12 months of age on indoor feeding of ad libitum concentrates. An outdoor period at pasture would reduce housing costs. Two experiments were undertaken to determine the effect of an outdoor period at pasture on concentrate intake, liveweight gain and selected carcass traits of Holstein young bulls.

Spring Calving Suckler Beef Systems: Influence Of Grassland Management System On Herbage Availability, Utilisation, Quality And Cow And Calf Performance To Weaning, M. J. Drennan, M. Mcgee, S. Kyne, B. O'Neill

IGC Proceedings (1993-2023)

Suckler beef systems in Ireland are primarily based on grass. Suckler systems vary in intensity but many operate low input systems and participate in REPS (Rural Environmental Protection Scheme). As there is a considerable cost associated with second-cut silage this research compared a two-cut system with a simplified low input one-cut system.

Effect Of Time Spent On Pasture On Milk Production And Quality In Latxa Dairy Sheep, A. Garcia-Rodriguez, N. Mandaluniz, L. M. Oregui

IGC Proceedings (1993-2023)

Dairy sheep production systems in the Basque country are pasture based. Forage resources are managed by shepherds who match herbage, forage and supplement availability with production requirements. This is achieved through a part-time grazing system, where ewes spend 3 to 7 hours grazing. The aim of this study was to evaluate the effect of restricted access to pasture on milk production and quality.

Animal Unit Of Sheep (Zel Breed) Grazing In Mazandaran Grasslands In Iran, Hossein Arzani, Reza Erfanzadeh, S. Farazmand

IGC Proceedings (1993-2023)

Animal unit equivalents (AUEs), provide a means of summarising grazing capacity, calculating stocking rates and other stocking variables (Scarnecchia, 1990). Animal units (AU) are often defined in relation to the dominant animal type in an area In Iran there are 27 sheep breeds which are classified into three main body size classes, namely: small, medium and large. The objective of this experiment was to define animal units, animal and forage requirements for sheep grazing in Mozandaran grasslands.

Mixed Fattening Of Steers And Lambs On Improved Grasslands In Uruguay: I. Pasture Performance, D. F. Risso, Fabio Montossi, E. J. Berretta, R. Cuadro, I. De Barbieri, R. San Julián, A. Dighiero, A. Zarza

IGC Proceedings (1993-2023)

The use of P fertilisers together with legume broadcasting is a low cost and high impact technology for improving native grassland (Risso et al., 2001). Its use is increasing in Uruguay, although not for mixed grazing, even though this management is a common practice on native grasslands. Good pasture response may occur under mixed grazing when it is adequately managed (Nolan & Connolly, 1989). The following trials characterise pasture response with such management, in Uruguayan conditions.

Mixed Fattening Of Steers And Lambs On Improved Grasslands In Uruguay: Ii. Animal Performance And Productivity, D. F. Risso, Fabio Montossi, E. J. Berretta, R. Cuadro, I. De Barbieri, R. San Julián, A. Dighiero, A. Zarza

IGC Proceedings (1993-2023)

In cow-calf operations in Uruguay, mixed cattle and sheep grazing on rangelands is predominant, while fattening is a specialised process. Within certain limits of the lamb/steer ratio and stocking rate, a complementary grazing effect occurs under mixed grazing, improving net results (Nolan & Connolly, 1977; Risso et al., 2002). These trials characterise animal performance under such management.

The Rostock Energetic Feed Evaluation On The Base Of Net Energy, W. Jentsch, A. Chudy, M. Beyer, S. Kuhla

IGC Proceedings (1993-2023)

Feed evaluation was an emphasis of research from the foundation of the "Oskar-Kellner-Institute of Animal Nutrition" in 1953 at Rostock by Prof. Kurt Nehring. The aim of the research work was the elaboration of a feed evaluation system containing reference numbers of feed values and requirements of farm animals. The approach and the present system are outlined in this paper.

Constraints On Dairy Cattle Production From Locally Available Forages In Bangladesh, M. A. S. Khan

IGC Proceedings (1993-2023)

The productivity of milk producing animals in Bangladesh is low because of low individual yield and poor fertility. The reasons for the low productivity are complex but, in order of priority, appear to be (a) the imbalanced nature of the nutrients that arise from the digestion of the forage resources, (b) the incidence of disease/parasitism, and (c) the often harsh climatic circumstances. Thus, the purpose of this study was to find out the practical constraints on dairy cattle production from locally available forages under small holding village conditions of Bangladesh.

Effects Of Supplementary Concentrate Level And Separate Or Mixed Feeding Of Grass Silage And Concentrates On Rumen Fluid Composition In Steers, J. Caplis, M. G. Keane, F. P. O'Mara

IGC Proceedings (1993-2023)

The effects of dietary concentrate level and method of feeding (separate or mixed) on performance and carcass traits of steers may be mediated through changes in rumen fluid composition. The objectives of this study were to determine the effects on rumen fluid composition of (1) supplementary concentrate level with grass silage, and (2) separate or mixed feeding of silage and concentrates,

Body Temperature In Free-Roaming Beef Cattle, T. L. Mader, S. L. Colgan

IGC Proceedings (1993-2023)

Body temperature (BT) measurements are traditionally used in diagnosing sick animals, but may also be used as an indicator of stress or activity. Based on results of metabolism studies, Mader et al. (1999) reported that BT can vary as much as 0.9^oC and can depend on metabolisable energy (ME) of the diet consumed. Acceptable measures of BT can be obtained from the rectum, vagina, or ear canal. Technologies are also being developed for continuously monitoring BT via radio-telemetry. The objectives of this study were to determine the effect of high concentrate (low fibre) versus high fibre diets on …

Yield And Quality Parameters Of An Interspecific Hybrid Pennisetum Purpureum Schum. (Elephant-Grass) X Pennisetum Glaucum (L.) R. Br. Stuntz (Pearl Millet), J. A. Usberti Jr., R. Usberti, P. B. Alcantara, V. B. G. Alcantara, R. A. Possenti, M. A. C. Lucena

IGC Proceedings (1993-2023)

Elephant-grass is a tropical forage grass used either as a supplement fodder or for direct grazing. It usually shows regular nutritive value (6-13% crude protein, CP, and 55-60% forage digestibility) (Alcantara et al., 1981). Most of the available cultivars produce no viable seeds. On the other hand, pearl millet has high seed yielding potential along with high quality forage (>15% CP and 70% forage digestibility). However, it shows poor forage production, low field persistence under grazing and low regrowth potential after cutting or grazing. During the 90's, an interspecific hybrid between the two species was developed, trying to …

Development Of New Synthetic Routes For Ebselen In Pursuit Of The First Synthesis Of Ebtellur, Elijah Kellner, Creed Poppler

Research & Creative Achievement Day

Ebselen, N-phenyl-1,2-benzoisoselenazol-3(2H)-one, an established anti-oxidant and cytoprotective agent, has been assessed for an array of pharmaceutical applications in treating a multitude of disorders and maladies. It has further been identified as an anti-microbial and anti-viral agent against multiple infectious agents and has even been FDA-approved for a variety of these applications. While ebselen has captured pharmaceutical interest, its tellurium analogue, ebtellur, has yet to be successfully obtained, and in only one case was an attempt to obtain ebtellur reported. We have developed multiple new synthetic routes specifically targeting the first synthesis of ebtellur and discuss the viability of each pathway …

Hplc And Cms Analysis Of Clomipramine Metabolism: A Multi-Drug Study, Tess E. Buescher, Tu Khiem Ho, Kyler Ford

Research & Creative Achievement Day

Daily use of multiple medications is commonplace for many Americans. While pharmacists monitor prescriptions for drug interactions, consumers rarely check the possible side effects when using an over-the-counter product. In this fictional case study, Sam is prescribed clomipramine and ciprofloxacin, while also taking Tylenol PM. All three medications are orally administered, and drug metabolism is catalyzed in the liver by cytochrome P450 enzymes (CYP450). CYP isoenzymes CYP1A2, CYP3A4 and CYP2C19 are responsible for clomipramine metabolism and formation of major bioactive metabolite desmethylclomipramine, while CYP2D6 hydroxylates clomipramine and metabolite into hydroxyclomipramine and hydroxydesmethylclomipramine, respectively. Multi-drug use can inhibit or induce metabolic …

It Application Administrator Internship, Payton Simmons

Research & Creative Achievement Day

This presentation is a focus on my internship with Fastenal as an IT Application Administrator. I'll talk about some of my daily tasks as well as the CMDB installation that will take place in the future. I am incredibly grateful to everyone who helped make this position possible because it gave me a wealth of knowledge that I will use in the near future.

Exploration Of Known Disease-Causing Vrk1 Mutants, Madelyn M. Degenhardt

Research & Creative Achievement Day

VRK1 is a vaccinia-related serine/threonine kinase that contributes to the regulation of cell proliferation. Point mutations within the VRK1 sequence are associated with a variety of complex neurodegenerative disorders which previous research suggests are due to changes in kinase activity and/or structure and stability. Point mutations seen with VRK1 may affect how a tail on the C-terminus of the protein interacts with the protein's active site, possibly altering the ability of the protein to bind to specific substrates.  This study looked specifically at the point mutation D263G and its effect on protein stability and ability to bind substrates at its …

A Statistical Comparison Of Hebrews To Accepted Pauline And Lukan Corpora, Benjamin Erickson

Liberty University Research Week

Undergraduate

Applied

Synthesis Of Activated Carbon From Spent Coffee Beans, Alyssa Priebe, Jennifer Zemke

Research & Creative Achievement Day

Activated carbon is a material that is used in various industries. An important way that activated carbon is used, is to remove impurities and contaminants from water. Activated carbon is used to filter out odors and pollutants such as organic compounds by adsorbing and trapping these molecules within the structure of the carbon. The goal of this research is to synthesize activated carbon from spent coffee grounds. To this end, we are developing and tuning a protocol for the synthesis of activated carbon via a Microwave-Assisted Reaction System (MARS-TA). Variables investigated in this study are the amount of phosphoric acid …