Forecasting Locational Marginal Prices In Electricity Markets By Using Artificial Neural Networks, Kim Jay R. Rosano, Allan C. Nerves

Journal of Economics, Management and Agricultural Development

Electricity price forecasting is an important tool used by market players in decision-making and strategizing their participation in the electricity market. In most studies, market-clearing price is forecasted as it gives an aggregated overview of system price. However, locational marginal price (LMP) gives better outlook of the price particular to the customer location in the electrical power grid. This study utilizes Artificial Neural Networks to forecast weekday LMP of generator and load nodes. Various inputs such as historical prices and demand, and temporal indices were used. Using data for selected nodes of the Philippine Wholesale Electricity Spot Market, forecast Mean …

A Novel Arabic Corpus For Text Classification Using Deep Learning And Word Embedding, Roua A. Abou Khachfeh, Islam El Kabani, Ziad Osman

BAU Journal - Science and Technology

Over the last years, Natural Language Processing (NLP) for Arabic language has obtained increasing importance due to the massive textual information available online in an unstructured text format, and its capability in facilitating and making information retrieval easier. One of the widely used NLP task is “Text Classification”. Its goal is to employ machine learning technics to automatically classify the text documents into one or more predefined categories. An important step in machine learning is to find suitable and large data for training and testing an algorithm. Moreover, Deep Learning (DL), the trending machine learning research, requires a lot of …

Application Of Competitive Intelligence For Insular Territories: Automatic Analysis Of Scientific And Technology Trends To Fight The Negative Effects Of Climate Change, Henri Dou, Pierre Fournie

International Journal of Islands Research

Islands are fragile territories because of their geographical position. As a result, climate impacts can have serious consequences, of which some are irreversible. Therefore, it is necessary to allow insular territories to benefit from the latest scientific and technological advances in combating climate effects. The current article shows how to deal with automatic analysis of scientific information on the one hand, but also its applications via patents. We will analyse the latest scientific results as well as their possible applications using patent analysis. We will also focus on experts, laboratories, and leading companies, that are active on the field. The …

Climate Change-Induced Effects On Beach Degradation And Tourist Behaviour: A Review Of Previous Studies With Potential In An Island Tourism Context, Yen E. Lam González, Carmen Garcia, Matias M. González Hernández, Carmelo J. Leon

International Journal of Islands Research

This article conducts a qualitative meta-analysis of papers addressing the topic of climate change impacts on beach loss and degradation, and its relation to tourist behaviour (destination choice, willingness to re-visit, expenditure and willingness to pay). The main aim is to identify values that can be used in future research works in the context of island tourism. We found that the strong specialisation and fragmentation of data and methods limit the transferability potential of previous research analysing climate-induced effects on beaches and tourist behaviour. Researchers from different fields bring their own conceptual models which often address similar problems but use …

Development Experience Of International Open Source And Its Enlightenment To Construction Of Open Source Innovation System In China, Yuntao Long, Xiaoming Wang, Rong Gu, Yungang Bao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Open source has become an essential innovation model for global technological progress and the construction of an open source innovation system is an important path for China to achieve self-reliance and self-improvement in science and technology. As an indispensable part of the global software value chain and high-tech industry chain, China needs to improve its open source innovation ecosystem. The paper, based on a systematic review of the related development policies and successful experiences on the open source work in US and Europe, puts forward a series of policy suggestions to solve the practical problems faced by the construction of …

Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun

SMU Data Science Review

This study investigates a comparison of classification models used to determine aspect based separated text sentiment and predict binary sentiments of movie reviews with genre and aspect specific driving factors. To gain a broader classification analysis, five machine and deep learning algorithms were compared: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), and Recurrent Neural Network Long-Short-Term Memory (RNN LSTM). The various movie aspects that are utilized to separate the sentences are determined through aggregating aspect words from lexicon-base, supervised and unsupervised learning. The driving factors are randomly assigned to various movie aspects and their impact tied to …

Urban Traffic Simulation: Network And Demand Representation Impacts On Congestion Metrics, Aaron Faltesek, Balasubramaniam Dakshinamoorthi, Sreeni Prabhala, Akbar Thobani, Anu Kuncheria, Jane Macfarlane

SMU Data Science Review

Traffic simulations are often used by city planners as a basis for predicting the impact of policies, plans, and operations. The complexities underpinning traffic simulations are often not described in detail yet can significantly impact the simulation outcome. Conflating underlying data for simulations is complex and hinders the interest in this type of exploration. This paper aims to elucidate critical features of traffic simulations that drive the generated metrics of the modeled urban environment. Specifically, this paper examines differences in two road graph networks for the metropolitan region of Houston, TX: a reduced network composed of 45,675 road links and …

Non-Parametric Tests For Testing Of Scale Parameters, Manish Goyal, Narinder Kumar

Journal of Modern Applied Statistical Methods

One of the fundamental problems in testing of equality of populations is of testing the equality of scale parameters. The subsequent usages for scale are dispersion, spread and variability. In this paper, we proposed non-parametric tests based on U-Statistics for the testing of equality of scale parameters. The null distribution of proposed tests is developed and its Pitman efficiency is worked out to compare proposed tests with respect to some existing tests. Simulation study is carried out to compute the asymptotic power of proposed tests. An illustrative example is also provided.

Ready, Willing, And Able, Gerry Boyle

Colby Magazine

So what gives? How, after four years on Mayflower Hill, do these Colby alumni have an outsized impact in a fintech company that is focused on, for example, changing the way municipal bonds are traded? What makes them able to dive in and figure it out? “That’s part of the liberal arts education,” said Associate Professor of History John Turner, who taught Tagg Martin ’13, history major turned MarketAxess go-to analyst. “You’re always learning. … You are always going to be mastering something, as opposed to having mastered.”

(R1523) Abundant Natural Resources, Ethnic Diversity And Inclusive Growth In Sub-Saharan Africa: A Mathematical Approach, Juliet I. Adenuga, Kazeem B. Ajide, Anthonia T. Odeleye, Abayomi A. Ayoade

Applications and Applied Mathematics: An International Journal (AAM)

The sub-Saharan African region is blessed with abundant natural resources and diverse ethnic groups, yet the region is dominated by the largest number of poor people worldwide due to inequitable distribution of national income. Existing statistics forecast decay in the quality of lives over the years compared to the continent of Asia that shares similar history with the region. In this paper, a-five dimensional first-order nonlinear ordinary differential equations was formulated to give insight into various factors that shaped dynamics of inclusive growth in sub-Saharan Africa. The validity test was performed based on ample mathematical theorems and the model was …

(R1505) A Note On Large Deviations In Insurance Risk, Stefan Gerhold

Applications and Applied Mathematics: An International Journal (AAM)

We study large and moderate deviations for an insurance portfolio, with the number of claims tending to infinity, without assuming identically distributed claims. The crucial assumption is that the centered claims are bounded, and that variances are bounded below. From a general large deviations upper bound, we obtain an exponential bound for the probability of the average loss exceeding a threshold. A counterexample shows that a full large deviation principle, including also a lower bound, does not follow from our assumptions. We argue that our assumptions make sense, in particular, for life insurance portfolios and discuss how to apply our …

Copycat Mass Killings: How Personality Might Moderate Identification With Antisocial Characters, Emily R. Mazzurco

Kean Quest

Research indicates that certain personality traits are prevalent within mass killers. Aggression, social rejection, narcissism, fame-seeking, low self-esteem, and depression are commonalities with mass killers, specifically mass shooters. Identification or idolizing antisocial fictional characters is also a common behavior within these types of offenders. These types of killers often draw inspiration for their own crimes from past criminals or from film and TV, thus committing what is known as a copycat crime. The purpose of the current study will be to examine the effects of social rejection and instigation on the likelihood of identifying with an antisocial character in young …

Constructing Ethical Order Of Digital World, Guoyu Wang, Hong Mei

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the digital transformation and the construction of digital China, a digital world parallel to the real world is being born. Historically, numbers have shaped our perception of the world and human beings. Digital transformation will further expand human cognitive space and means, release productivity, and change the way people think and behave. However, the virtuality and "outof domain" characteristics of people and things in the digital world have caused ethical problems in the digital world. Therefore, it is urgent to construct and improve the ethical order of the digital world. The article summarizes the existing three paths of scientific …

Analysis And Strategy Of Ai Ethical Problems, Zhaoxiang Zhang, Jiyu Zhang, Tieniu Tan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Artificial intelligence (AI) is the core of the fourth industrial revolution, and it has brought challenges to ethics and social governance. On the basis of explaining the current ethical risks of artificial intelligence, the study furtherly analyzes the current consensus on ethics, governance principles, and governance approaches of artificial intelligence. Moreover, the study also proposes to take "co-construction, co-governance and sharing" as the guiding theory to gradually build a multi-dimensional ethical governance system, including education reform, ethical norms, technical supports, legal regulations, and international cooperation.

Critical Pedagogy In The Time Of Covid-19: Lessons Learned, Carol Christine Hordatt Gentles

Journal of Multicultural Affairs

The abrupt closure of universities due to the coronavirus pandemic caused unprecedented challenges for educators. They struggled to transition to online teaching almost overnight. This has raised questions about the readiness of Higher Education for digitalisation and hybridization of learning environments and focused attention on the renewal of teaching and learning models. It is incumbent upon those who practise critical pedagogy to join this conversation; the mandatory transition has raised difficult questions around how to ensure continuity of an agenda to offer students humanistic and democratic learning experiences in the new virtual reality. In this paper I offer a critical …

Book Review: The Death Project: An Anthology For These Times, Ted D. Ayres

Journal of Multicultural Affairs

A book review of The Death Project: An Anthology for These Times.

Ted Ayres, Social Justice And Education Advocate: "Making It Count" With Book Reviews, Kristen P. Erdem

Journal of Multicultural Affairs

This is an interview article with a prolific reviewer of books seen on public television and in print. Ted Ayres had an inspired legal career, and his advocacy continues to this day. The year 2020, like no other year in our recent U.S. history, was a raucous reckoning for an array of social justice issues. As this theme continues in 2021, it is heartwarming getting to know a quiet advocate in our midst. Meet Ted Ayres. Ayres will be a contributor to the journal with book reviews. This is an introduction to the person, Ted Ayres as social justice and …

How The Common School Has Failed Hispanic Children—Witnessing The Severe Regression Of Language English Proficient Learners During A Pandemic: Teaching During Covid-19, Yvonne S. Herrera

Journal of Multicultural Affairs

Personal reflection on the impacts of the common school on Hispanic children during the COVID-19 pandemic, when Hispanic children experienced less opportunities in becoming educated due to lack of accessible technology.

Covid And Curriculum: Elementary Teachers Report On The Challenges Of Teaching And Learning Mathematics Remotely, Kristin Giorgio-Doherty, Mona Baniahmadi, Jill Newton, Amy M. Olson, Kristen Ferguson, Kaitlyn Sammons, Marcy M. Wood, Corey Drake

Journal of Multicultural Affairs

This article reports on findings from a survey administered to 524 elementary teachers across 46 states that asked about their experiences with mathematics teaching, learning, and curriculum use before and during the COVID-19 pandemic. The purpose of this article is to report on the challenges teachers experienced with mathematics teaching, learning, and curriculum use during the pandemic and to explore educational inequities faced by students of families with lower income backgrounds. In particular, we discuss differences across high- and low-income schools regarding teachers’ perceived preparedness for online teaching, teachers’ use and decisions about mathematics curriculum, and their students’ remote resources …

Overview: From The Desk Of The Guest Editor, Tonya Huber

Journal of Multicultural Affairs

Overview from the Guest Editor on this special issue on the impacts of Covid-19 in educational settings. One theme explored in the contents of this issue is the powerlessness many educators felt as the editors set out to hear, comprehend, represent, and amplify their experiences. Other themes include: appreciation and empathy, focusing on what matters, and new ways of teaching with technology.

The Spatial Effects Of Elderly Population Presence On Covid -19 Incidence In Dki Jakarta Before, During, And After Large-Scale Social Restriction, Chotib Chotib, I G A A Karishma Maharani Raijaya Mrs., Ahmad Aki Aki Muhaimin Mr., Novani Saputri

Smart City

ABSTRACT

Infected cases and suspect cases of covid-19 are increasing more and more daily. This increment happens either in whole regions of Indonesia and DKI Jakarta as a capital city. The purpose of this research is to seek the pattern in spatial of Covid-19 incidence with 3 different periods of before, during, and after large-scale social restriction, and to identify the influence of the presence of the elderly and other factors. One of the scopes of this study is the presence of the elderly because the elderly population is considered as influencing the increase of Covid-19 incidence. The analysis method …

From The Editors, Ahmad Gamal

Smart City

No abstract provided.

Crash Course: Student Team Uses Statistical Modeling And Bigelow Partnership To Map Moose-Car "Hot Zones", Gerry Boyle, Max Slomiak

Colby Magazine

The project began in 2004 when Alex Jospe ’06, a Nordic skier who traveled Maine roads to meets, decided to use skills learned in a GIS class taught by Associate Professor of Environmental Studies Philip Nyhus. Jospe used data supplied by state transportation officials to map moose-collision hot zones. On a trip to Vermont, the map came in handy. “She came back all excited and said, ‘I saw a moose right where my map said I would,’” Nyhus recalled.

Characterizing Clustering Models Of High-Dimensional Remotely Sensed Data Using Subsampled Field-Subfield Spatial Cross-Validated Random Forests, Andrew B. Whetten

International Journal of Geospatial and Environmental Research

Clustering models are regularly used to construct meaningful groups of observations within complex datasets, and they are an exceptional tool for spatial exploratory analysis. The clusters detected in a recent spatio-temporal cluster analysis of leaf area index (LAI) in the Columbia River Basin (CRB) require further investigation since they are only derived using a single greenness metric. It is of great interest to further understand how greening indices can be used to determine separation of sites across an array of remotely sensed environmental attributes. In this prior work, there are highly localized minority clusters that were detected to be most …

Comparative Study Of New And Traditional Estimators Of A New Lifetime Model, Sandeep Kumar Maurya, Sanjay Kumar Singh, Umesh Singh

Journal of Modern Applied Statistical Methods

In this article, we have studied the behavior of estimators of parameter of a new lifetime model, suggested by Maurya et al. (2016), obtained by using methods of moments, maximum likelihood, maximum product spacing, least squares, weighted least squares, percentile, Cramer-von-Mises, Anderson-Darling and Right-tailed Anderson-Darling. Comparison of the estimators has been done on the basis of their mean square errors, biases, absolute and maximum absolute differences between empirical and estimated distribution function and a newly proposed criterion. We have also obtained the asymptomatic confidence interval and associated coverage probability for the parameter.

Participatory Action Research: Undergraduate Researchers Engaging Secondary Students In Social Justice Mathematics, Isabelle Miller, Alexis Grimes, Camryn Adkison

The Journal of Purdue Undergraduate Research

No abstract provided.

Automated Data Processing: Making Community Indicators Possible For Lafayette, Indiana, Jace T. Newell, Eli W. Coltin, Eric D. Flaningam

The Journal of Purdue Undergraduate Research

No abstract provided.

Short-Term Slope Changes On Dokdo Island Identified From Ground-Based 3d Lidar Data, Jihyun Kang, Hyejin Kim, Jaegeum Park, Hyunchul Shin

International Journal of Geospatial and Environmental Research

This study was designed to determine the slope changes on Dokdo Island, focusing on Seodo islet (slopes consisting of colluvial debris) and Dongdo islet (slopes consisting of large-scale tafoni). To do so, we obtained high-resolution 3D LiDAR data in May and November 2020 and calculated the changes in slope shape and volume over this period. Our results showed that during this time, approximately 136 m³ of colluvial debris was removed from the slopes of Seodo islet and a boulder that had separated from the massive tuff breccia migrated approximately 5 cm downslope. The major causes of such rapid changes …

On The Extension Of Exponentiated Pareto Distribution, Amal S. Hassan, Saeed Elsayed Hemeda, Said G. Nassr

Journal of Modern Applied Statistical Methods

In this study, an extended exponentiated Pareto distribution is proposed. Some statistical properties are derived. We consider maximum likelihood, least squares, weighted least squares and Bayesian estimators. A simulation study is implemented for investigating the accuracy of different estimators. An application of the proposed distribution to a real data is presented.

A Clash Of Cultures: The Struggle Of Native Americans To Participate In Traditional Ecological Knowledge And Western Science Under California’S Marine Life Protection Act, John W. Corbett, Ruthie A. Maloney

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

This article comprehensively details the culture clash that took place between Native Americans, the North Group Science Panel, and the Science Advisory Team (SAT) involved in the Marine Life Protection Act (MLPA). In 1999, the California Legislature passed the Marine Life Protection Act to create a statewide, science-driven network of marine reserves along the 1,100 miles of the California coast. The MLPA was meant to protect marine areas from overharvesting, and an initiative was formed to create a state marine reserve system advised by regional science panels. The science panel, a public body, decided that Native Americans science was not …