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Smart Cities And Urban Management, Singapore Management University Jan 2018

Smart Cities And Urban Management, Singapore Management University

Research Collection Office of Research

In this booklet, read about SMU’s research and initiatives related to smart cities and urban management, and how we strive to make meaningful impact on business, government and society for Singapore and beyond.

Contents:

Liveability and quality of life

  • Community participation through mobile crowdsourcing
  • Smarter, healthier eating with Food AI
  • Data-driven community eldercare platform for sustainable ageing-in-place
  • A date with AI
  • Smart mobility accessibility for barrier-free access
  • Food security

Optimisation and resource management

  • Collaborative urban delivery optimisation
  • Seat occupancy detection through capacitance sensing
  • Large-scale crowd simulation based on real-world data
  • Gaining insights through Wi-Fi technology
  • Taxi driver guidance system
  • Efficiency …


Key Priorities And University Roles To Address Coastal Resilience In Virginia: Findings From The Rotating Resilience Roundtables Workshop Fall 2018, Anamaria Bukvic, Michelle Covi Jan 2018

Key Priorities And University Roles To Address Coastal Resilience In Virginia: Findings From The Rotating Resilience Roundtables Workshop Fall 2018, Anamaria Bukvic, Michelle Covi

Presentations, Lectures, Posters, Reports

From Part 1. Purpose and significance

The first Rotating Resilience Roundtables event took place on October 11 and 12, 2018 on the Virginia Tech campus in Blacksburg and was co-organized between the Coastal@VT initiative at Virginia Tech and Old Dominion University/Virginia Sea Grant Climate Adaptation and Resilience Program. It was designed to respond to the need for a cohesive and policy-relevant science that will align and coordinate efforts between researchers and other stakeholders to benefit the Commonwealth’s resilience planning for changing conditions in coastal zone. The Rotating Roundtables’ concept was selected to facilitate active engagement of audiences with different coastal …


Program And Proceedings: Nebraska Academy Of Sciences 1880–2018, 138th Anniversary Year, One Hundred-Twenty-Eighth Annual Meeting Jan 2018

Program And Proceedings: Nebraska Academy Of Sciences 1880–2018, 138th Anniversary Year, One Hundred-Twenty-Eighth Annual Meeting

Nebraska Academy of Sciences: Programs and Proceedings

Program

Aeronautics and Space Science

Collegiate Academy: Biology

Biological and Medical Sciences

Chemistry and Physics>/p>

Collegiate Academy: Chemistry and Physics

Learn to Print 3-D Models for Your Classroom Workshop

Aeronautics and Space Science Poster Session

Maiben Memorial Lecture: Thomas Clemente

Anthropology

Applied Science and Technology

Earth Science

Environmental Sciences

Teaching of Science and Mathematics

Friend of Science Award: Mary Kalen Romjue and Michael Sibbernsen


An Empirical Assessment Of Senior Citizens’ Cybersecurity Awareness, Computer Self-Efficacy, Perceived Risk Of Identity Theft, Attitude, And Motivation To Acquire Cybersecurity Skills, Carlene G. Blackwood-Brown Jan 2018

An Empirical Assessment Of Senior Citizens’ Cybersecurity Awareness, Computer Self-Efficacy, Perceived Risk Of Identity Theft, Attitude, And Motivation To Acquire Cybersecurity Skills, Carlene G. Blackwood-Brown

CCAC Theses and Dissertations

Cyber-attacks on Internet users have caused billions of dollars in losses annually. Cybercriminals launch attacks via threat vectors such as unsecured wireless networks and phishing attacks on Internet users who are usually not aware of such attacks. Senior citizens are one of the most vulnerable groups who are prone to cyber-attacks, and this is largely due to their limited cybersecurity awareness and skills. Within the last decade, there has been a significant increase in Internet usage among senior citizens. It was documented that senior citizens had the greatest rate of increase in Internet usage over all the other age groups …


University Of Nebraska At Omaha 2018-2019 Course Catalog, University Of Nebraska At Omaha Jan 2018

University Of Nebraska At Omaha 2018-2019 Course Catalog, University Of Nebraska At Omaha

Undergraduate Catalogs

Located in one of America’s best cities to live, work and learn, the University of Nebraska at Omaha (UNO) is Nebraska’s premier metropolitan university. With more than 15,000 students enrolled in 200-plus programs of study, UNO is recognized nationally for its online education, graduate education, military friendliness, and community engagement efforts.Founded in 1908, UNO has served learners of all backgrounds for more than 100 years and is dedicated to another century of excellence both in the classroom and in the community.


Osteohistology And Skeletochronology Of An Ontogenetic Series Of Clidastes (Squamata: Mosasauridae): Growth And Metabolism In Basal Mosasaurids, Cyrus C. Green Jan 2018

Osteohistology And Skeletochronology Of An Ontogenetic Series Of Clidastes (Squamata: Mosasauridae): Growth And Metabolism In Basal Mosasaurids, Cyrus C. Green

Master's Theses or Doctor of Nursing Practice

Clidastes was a large marine reptile from the Late Cretaceous Western Interior Seaway of North America. Though the remains of Clidastes have been found in the Cretaceous chalks and shales for over 150 years, little is known about their growth rates.

Osteohistology is a well-documented technique used to investigate growth in extinct animals. Previous histological studies of Clidastes have hypothesized higher growth rates in basal mosasaurids than varanids due to higher vascularity. These studies focused on adult specimens but did not look at ontogenetic changes in growth rates. Isotopic studies of Clidastes indicate high metabolic temperatures, leading to speculation these …


The Great Potential Of Redox Active Ligands: Applications In Cancer Research And Redox Active Catalysis, Meredith Miles Jan 2018

The Great Potential Of Redox Active Ligands: Applications In Cancer Research And Redox Active Catalysis, Meredith Miles

Browse all Theses and Dissertations

Metal N-heterocyclic carbene (NHC) complexes have recently gained much popularity due to their tunable, steric, and electronic properties. Applications for such versatile molecules include organocatalysis, olefin metathesis, sundry cyclization reactions, and materials chemistry. Redox active NHCs are of special interest due to their ability to alter the electronic properties of the metal centers they are ligated to. In the first chapter, Au(I)-NHC complexes were synthesized and tested for biological activity in human cancer cell lines. Increasing reactive oxygen species (ROS) in cellular systems has proven to be a successful pathway for treating cancer. The redox active group in this case …


Real-World Large-Scale Iot Systems For Community Eldercare: A Comparative Study On System Dependability, Hwee-Pink Tan, Austin Zhang Jan 2018

Real-World Large-Scale Iot Systems For Community Eldercare: A Comparative Study On System Dependability, Hwee-Pink Tan, Austin Zhang

Research Collection School Of Computing and Information Systems

The paradigm of aging-in-place — where the elderly live and age in their own homes, independently and safely, with care provided by the community — is compelling, especially in societies that face both shortages in institutionalized eldercare resources, and rapidly-aging populations. Internet-of-Things (IoT) technologies, particularly in-home monitoring solutions, are commercially available, and can be a fundamental enabler of smart community eldercare, if they are dependable. In this paper, we present our findings on system performance of solutions from two vendors, which we have deployed at scale for technology-enabled community care. In particular, we highlight the importance of quantifying actual system …


Unobtrusive Monitoring To Detect Depression For Elderly With Chronic Illnesses, Jung-Yoon Kim, Na Liu, Hwee Xian Tan, Chao-Hsien Chu Sep 2017

Unobtrusive Monitoring To Detect Depression For Elderly With Chronic Illnesses, Jung-Yoon Kim, Na Liu, Hwee Xian Tan, Chao-Hsien Chu

Research Collection School Of Computing and Information Systems

Mental health related disorders are common diseases, especially among the elder. Among the various mental health diseases, one potential threat to ageing-in-place is the risk of depression. In this paper, we propose a simple unobtrusive sensing system using passive infra-red motion sensors to monitor the activities of daily living of elderly, who are living alone. A feature extraction module comprising of three layers-states, events, and activities, and the corresponding algorithms are proposed to extract features. Four popular classification models-neural network, C4.5 decision tree, Bayesian network, and support vector machine are then applied to detect the severity of depression. We implement …


Protecting The Environment: Awareness And Responsibility, Susan E. Mason, James J. Winkelman Aug 2017

Protecting The Environment: Awareness And Responsibility, Susan E. Mason, James J. Winkelman

Journal of Vincentian Social Action

Protecting the environment is not only the right thing to do, it is the smart thing to do, in terms of both short-term and long term business goals. Green businesses can realize immediate financial benefits from environmental sustainability and energy conservation, and there are branding benefits associated with developing and maintaining a reputation for integrity and social responsibility. All participants first answered demographic questions and then responded to a ten-item questionnaire, which was a modified version of Simpson’s (1998) environmental awareness questionnaire. In conclusion, the study revealed gender, age, and political affiliation difference in environmental awareness.


Implant Treatment In The Predoctoral Clinic: A Retrospective Database Study Of 1091 Patients, Soni Prasad, Christopher Hambrook, Eric Reigle, Katherine Sherman, Naveen K. Bansal, Arthur F. Hefti Aug 2017

Implant Treatment In The Predoctoral Clinic: A Retrospective Database Study Of 1091 Patients, Soni Prasad, Christopher Hambrook, Eric Reigle, Katherine Sherman, Naveen K. Bansal, Arthur F. Hefti

Mathematics, Statistics and Computer Science Faculty Research and Publications

Purpose: This retrospective study was conducted at the Marquette University School of Dentistry to (1) characterize the implant patient population in a predoctoral clinic, (2) describe the implants inserted, and (3) provide information on implant failures.

Materials and Methods: The study cohort included 1091 patients who received 1918 dental implants between 2004 and 2012, and had their implants restored by a crown or a fixed dental prosthesis. Data were collected from patient records, entered in a database, and summarized in tables and figures. Contingency tables were prepared and analyzed by a chi-squared test. The cumulative survival probability of implants was …


Managing Sensor Systems For Early Detection Of Mild Cognitive Impairment In Community Elderly: Lessons Learned And Future Work, Boon Thai Ng, Hwee-Pink Tan, Hwee Xian Tan Aug 2017

Managing Sensor Systems For Early Detection Of Mild Cognitive Impairment In Community Elderly: Lessons Learned And Future Work, Boon Thai Ng, Hwee-Pink Tan, Hwee Xian Tan

Research Collection School Of Computing and Information Systems

The aging population is a pertinent issue faced by governments globally. One of the most common and costly health issues associated with the aging population is cognitive decline, leading up to dementia. In this paper, we describe a non-intrusive, continuous and scalable system for early detection of Mild Cognitive Impairment (MCI) in the elderly, which enables early medical interventions to be provided. We focus on the system design and feature extraction of the sensor system, to validate our hypothesis of the use of sensor systems for early detection of MCI. Lessons learned from deploying the sensor system is presented, together …


Network Exploration Of Correlated Multivariate Protein Data For Alzheimer's Disease Association, Matthew J. Lane Apr 2017

Network Exploration Of Correlated Multivariate Protein Data For Alzheimer's Disease Association, Matthew J. Lane

Theses

Alzheimer Disease (AD) is difficult to diagnose by using genetic testing or other traditional methods. Unlike diseases with simple genetic risk components, there exists no single marker determining as to whether someone will develop AD. Furthermore, AD is highly heterogeneous and different subgroups of individuals develop the disease due to differing factors. Traditional diagnostic methods using perceivable cognitive deficiencies are often too little too late due to the brain having suffered damage from decades of disease progression. In order to observe AD at early stages prior to the observation of cognitive deficiencies, biomarkers with greater accuracy are required. By using …


Neighborhood Environment And Falls Among Community-Dwelling Older Adults, Emily Joy Nicklett, Matthew C. Lohman Ph.D., Matthew Lee Smith Feb 2017

Neighborhood Environment And Falls Among Community-Dwelling Older Adults, Emily Joy Nicklett, Matthew C. Lohman Ph.D., Matthew Lee Smith

Faculty Publications

Background: Falls present a major challenge to active aging, but the relationship between neighborhood factors and falls is poorly understood. This study examined the relationship between fall events and neighborhood factors, including neighborhood social cohesion (sense of belonging, trust, friendliness, and helpfulness) and physical environment (vandalism/graffiti, rubbish, vacant/deserted houses, and perceived safety walking home at night). Methods: Data were analyzed from 9259 participants over four biennial waves (2006–2012) of the Health and Retirement Study (HRS), a nationally representative sample of adults aged 65 and older in the United States. Results: In models adjusting for demographic and health-related covariates, a one-unit …


Phishing Suspiciousness In Older And Younger Adults: The Role Of Executive Functioning, Brandon E. Gavett, Rui Zhao, Samantha E. John, Cara A. Bussell, Jennifer R. Roberts, Chuan Yue Feb 2017

Phishing Suspiciousness In Older And Younger Adults: The Role Of Executive Functioning, Brandon E. Gavett, Rui Zhao, Samantha E. John, Cara A. Bussell, Jennifer R. Roberts, Chuan Yue

Interdisciplinary Informatics Faculty Publications

Phishing is the spoofing of Internet websites or emails aimed at tricking users into entering sensitive information, with such goals as financial or identity theft. The current study sought to determine whether age is associated with increased susceptibility to phishing and whether tests of executive functioning can predict phishing susceptibility. A total of 193 cognitively intact participants, 91 younger adults and 102 older adults, were primarily recruited through a Psychology department undergraduate subject pool and a gerontology research registry, respectively. The Executive Functions Module from the Neuropsychological Assessment Battery and the Iowa Gambling Task were the primary cognitive predictors of …


Consumers' Perceptions Of Voluntary And Involuntary Deconsumption: An Exploratory Sequential Scale Development Study, Kranti K. Dugar Jan 2017

Consumers' Perceptions Of Voluntary And Involuntary Deconsumption: An Exploratory Sequential Scale Development Study, Kranti K. Dugar

Electronic Theses and Dissertations

This exploratory sequential mixed methods study of scale development was conducted among baby boomers in the United States to render conceptual clarity to the concepts of voluntary and involuntary deconsumption, to explore deconsumption behavior under the tenets of the attribution theory of motivation, and to examine the components, structures, uses, and measurement properties of scales of voluntary and involuntary deconsumption. It was also an attempt to reiterate the importance of the baby boomer segment(s) for marketing practitioners based on growth, economic viability, and the power of influence, and to establish a deep understanding of the deconsumption processes, which could enable …


Advance Care Planning As A Shared Endeavor: Completion Of Acp Documents In A Multidisciplinary Cancer Program, Melissa A. Clark, Miles Q. Ott, Michelle L. Rogers, Mary C. Politi, Susan C. Miller, Laura Moynihan, Katina Robison, Ashley Stuckey, Don Dizon Jan 2017

Advance Care Planning As A Shared Endeavor: Completion Of Acp Documents In A Multidisciplinary Cancer Program, Melissa A. Clark, Miles Q. Ott, Michelle L. Rogers, Mary C. Politi, Susan C. Miller, Laura Moynihan, Katina Robison, Ashley Stuckey, Don Dizon

Statistical and Data Sciences: Faculty Publications

Objective—We examined the roles of oncology providers in advance care planning (ACP) delivery in the context of a multidisciplinary cancer program.

Methods—Semi-structured interviews were conducted with 200 women with recurrent and/or metastatic breast or gynecologic cancer. Participants were asked to name providers they deemed important in their cancer care and whether they had discussed and/or completed ACP documentation. Evidence of ACP documentation was obtained from chart reviews.

Results—Fifty percent of participants self-reported completing an advance directive (AD) and 48.5% had named a healthcare power of attorney (HPA), 38.5% had completed both, and 39.0% had completed neither document. Among women who …


University Of Nebraska At Omaha 2017-2018 Course Catalog, University Of Nebraska At Omaha Jan 2017

University Of Nebraska At Omaha 2017-2018 Course Catalog, University Of Nebraska At Omaha

Graduate Catalogs

The University of Nebraska Omaha (UNO) is a premier metropolitan university that combines the resources of a doctoral research institution with a thriving community in the heart of Omaha.

With a global reach and vision, UNO is large enough to provide opportunities students seek, yet personal enough to include the mentorship they need to achieve academic excellence, creativity, and engaged learningat competitive tuition rates.

UNO is committed to and engaged with the city surrounding it, allowing students unique hands-on opportunities, internships, service learning,applied research, and other collaborative activities that enhance time in the classroom.

This is the ”O” we want …


Detecting Agitation Onset In Individuals With Dementia Using Smart Phone Sensors, Christianne Fowler, Ajay Gupta, Kurt Maly, Karen Karlowicz, Maheedhar Gunnam, Rohila Gudipati, Mahesh Kukunooru, Rahul Rachamalla Jan 2017

Detecting Agitation Onset In Individuals With Dementia Using Smart Phone Sensors, Christianne Fowler, Ajay Gupta, Kurt Maly, Karen Karlowicz, Maheedhar Gunnam, Rohila Gudipati, Mahesh Kukunooru, Rahul Rachamalla

Ellmer School of Nursing Faculty Publications

Individuals living with dementia (ILWD) often experience problematic agitated behaviors, this occurs in up to 80% of ILWD. These behaviors lead to stress for caregivers and increased frequency of institutionalization. There are many proven methods to intervene during agitated behavior outburst and the earlier these methods are used the better the results. Technology has been used successfully to monitor many aspects of health monitoring for older adults. Technology is now being investigated to evaluate the effectiveness of predicting the onset of problem behaviors, especially escalating agitation in ILWD. Off the shelf technology, smart watches and android phones, are being tested …


Using Pentosidine And Hydroxyproline To Predict Age And Sex In An Avian Species, Brian S. Dorr, Randal S. Stahl, Katie C. Hanson-Dorr, Carol A. Furcolow Jan 2017

Using Pentosidine And Hydroxyproline To Predict Age And Sex In An Avian Species, Brian S. Dorr, Randal S. Stahl, Katie C. Hanson-Dorr, Carol A. Furcolow

United States Department of Agriculture Wildlife Services: Staff Publications

All living organisms are subject to senescence accompanied by progressive and irreversible physiological changes. The error damage and cross-linking theories suggest that cells and tissues are damaged by an accumulation of cross-linked proteins, slowing down bodily processes and resulting in aging. A major category of these cross-linked proteins are compounds called advanced glycation end products (AGEs). We investigated the relationship between accumulation of the AGE, pentosidine (Ps), and hydroxyproline (HYP) a post-translationally modified amino acid, with age, sex, and breeding status (breeder/ nonbreeder) from skin samples of known age (i.e., banded as fledglings), free-ranging Double-crested Cormorants (Phalacrocorax auritus, …


Comparative Proteomic Analyses Of The Parietal Lobe From Rhesus Monkeys Fed A High-Fat/Sugar Diet With And Without Resveratrol Supplementation, Relative To A Healthy Diet: Insights Into The Roles Of Unhealthy Diets And Resveratrol On Function, Aaron M. Swomley, Judy C. Triplett, Jeriel T. Keeney, Govind Warrier, Kevin J. Pearson, Julie A. Mattison, Rafael De Cabo, Jian Cai, Jon B. Klein, D. Allan Butterfield Jan 2017

Comparative Proteomic Analyses Of The Parietal Lobe From Rhesus Monkeys Fed A High-Fat/Sugar Diet With And Without Resveratrol Supplementation, Relative To A Healthy Diet: Insights Into The Roles Of Unhealthy Diets And Resveratrol On Function, Aaron M. Swomley, Judy C. Triplett, Jeriel T. Keeney, Govind Warrier, Kevin J. Pearson, Julie A. Mattison, Rafael De Cabo, Jian Cai, Jon B. Klein, D. Allan Butterfield

Chemistry Faculty Publications

A diet consisting of a high intake of saturated fat and refined sugars is characteristic of a Western-diet and has been shown to have a substantial negative effect on human health. Expression proteomics were used to investigate changes to the parietal lobe proteome of rhesus monkeys consuming either a high fat and sugar (HFS) diet, a HFS diet supplemented with resveratrol (HFS+RSV), or a healthy control diet for 2 years. Here we discuss the modifications in the levels of 12 specific proteins involved in various cellular systems including metabolism, neurotransmission, structural integrity, and general cellular signaling following a nutritional intervention. …


Dynamical Systems Modeling To Identify A Cohort Of Problem Drinkers With Similar Mechanisms Of Behavior Change, Kidist Maxwell, Rebecca Everett, Sijing Shao, Alexis Kuerbis, Lyric Stephenson, H. T. Banks, Jon Morgenstern Jan 2017

Dynamical Systems Modeling To Identify A Cohort Of Problem Drinkers With Similar Mechanisms Of Behavior Change, Kidist Maxwell, Rebecca Everett, Sijing Shao, Alexis Kuerbis, Lyric Stephenson, H. T. Banks, Jon Morgenstern

Publications and Research

One challenge to understanding mechanisms of behavior change (MOBC) completely among individuals with alcohol use disorder is that processes of change are theorized to be complex, dynamic (time varying), and at times non-linear, and they interact with each other to influence alcohol consumption. We used dynamical systems modeling to better understand MOBC within a cohort of problem drinkers undergoing treatment. We fit a mathematical model to ecological momentary assessment data from individual patients who successfully reduced their drinking by the end of the treatment. The model solutions agreed with the trend of the data reasonably well, suggesting the cohort patients …


System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung Jan 2017

System Identification Of Motion Artifact: Noise In Eeg Headsets From Locomotion, Kaela Shea, James Tung

H-Workload 2017: Models and Applications (Works in Progress)

Fall prevention for geriatric populations is a growing concern among clinicians and researchers due to severe risk of morbidity and loss of independence. Emerging evidence has demonstrated that mental workload while walking influences gait stability and the risk for falling. Electroencephalography (EEG) presents a potential method to provide objective measures of mental workload, particularly during daily activities. Noise introduced to the EEG signal during motion, however, is restrictive. The study presented in the following paper isolates EEG signal noise attained from gait for a commercially accessible EEG system, the "Emotiv" Time and spectral system identification techniques were applied to model …


Unsupervised Monitoring Of An Elderly Person's Activities Of Daily Living Using Kinect Sensors And A Power Meter, Hossein Pazhoumand-Dar Jan 2017

Unsupervised Monitoring Of An Elderly Person's Activities Of Daily Living Using Kinect Sensors And A Power Meter, Hossein Pazhoumand-Dar

Theses: Doctorates and Masters

The need for greater independence amongst the growing population of elderly people has made the concept of “ageing in place” an important area of research. Remote home monitoring strategies help the elderly deal with challenges involved in ageing in place and performing the activities of daily living (ADLs) independently. These monitoring approaches typically involve the use of several sensors, attached to the environment or person, in order to acquire data about the ADLs of the occupant being monitored.

Some key drawbacks associated with many of the ADL monitoring approaches proposed for the elderly living alone need to be addressed. These …


Birth Mass Is The Key To Understanding The Negative Correlation Between Lifespan And Body Size In Dogs, Rong Fan, Gayla R. Olbricht, Xavior Baker, Chen Hou Dec 2016

Birth Mass Is The Key To Understanding The Negative Correlation Between Lifespan And Body Size In Dogs, Rong Fan, Gayla R. Olbricht, Xavior Baker, Chen Hou

Mathematics and Statistics Faculty Research & Creative Works

Larger dog breeds live shorter than the smaller ones, opposite of the mass-lifespan relationship observed across mammalian species. Here we use data from 90 dog breeds and a theoretical model based on the first principles of energy conservation and life history tradeoffs to explain the negative correlation between longevity and body size in dogs. We found that the birth/adult mass ratio of dogs scales negatively with adult size, which is different than the weak interspecific scaling in mammals. Using the model, we show that this ratio, as an index of energy required for growth, is the key to understanding why …


Online Detection Of Behavioral Change Using Unobtrusive Eldercare Monitoring System, Thanh Tam La, Alvin Cerdena Valera, Hwee-Pink Tan, Cheryl Li Fang Koh Dec 2016

Online Detection Of Behavioral Change Using Unobtrusive Eldercare Monitoring System, Thanh Tam La, Alvin Cerdena Valera, Hwee-Pink Tan, Cheryl Li Fang Koh

Research Collection School Of Computing and Information Systems

The rapid ageing population is posing challenges to many countries all over the world, particularly in the provision of care to the growing number of elderly who are living alone. Allowing the elderly to age-in-place, i.e., live safely and independently in the comfort of their own homes is a model that can potentially address the resource constraint in health and community care faced by many nations. To make this model a reality and provide appropriate and timely care to the elderly, unobtrusive eldercare monitoring systems (EMS) are being deployed in real homes to continuously monitor the activity of the elderly. …


Computational Methods For Asynchronous Basins, Ian H. Dinwoodie Dec 2016

Computational Methods For Asynchronous Basins, Ian H. Dinwoodie

Mathematics and Statistics Faculty Publications and Presentations

For a Boolean network we consider asynchronous updates and define the exclusive asynchronous basin of attraction for any steady state or cyclic attractor. An algorithm based on commutative algebra is presented to compute the exclusive basin. Finally its use for targeting desirable attractors by selective intervention on network nodes is illustrated with two examples, one cell signalling network and one sensor network measuring human mobility.


Self-Regulated Incremental Clustering With Focused Preferences, Di Wang, Ah-Hwee Tan Jul 2016

Self-Regulated Incremental Clustering With Focused Preferences, Di Wang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Due to their online learning nature, incremental clustering techniques can handle a continuous stream of data. In particular, various incremental clustering techniques based on Adaptive Resonance Theory (ART) have been shown to have low computational complexity in adaptive learning and are less sensitive to noisy information. However, parameter regularization in existing ART clustering techniques is applied either on different features or on different clusters exclusively. In this paper, we introduce Interest-Focused Clustering based on Adaptive Resonance Theory (IFC-ART), which self-regulates the vigilance parameter associated with each feature and each cluster. As such, we can incorporate the domain knowledge of the …


A Comparison Of Postural Stability In Gymnasts, Volleyball Players, And Non-Athletes, Kayla Howerton Jun 2016

A Comparison Of Postural Stability In Gymnasts, Volleyball Players, And Non-Athletes, Kayla Howerton

Ursidae: The Undergraduate Research Journal at the University of Northern Colorado

Balance and postural stability are crucial elements in daily activities and the training of athletes. Volleyball requires the athlete to be capable of regaining balance after jumping and landing. Gymnastics requires the athlete to have focus on multiple aspects of balance during the execution of a skill. Current literature has examined age, comparison of certain sports to other sports, and children in athletics, all with regards to postural stability. Current literature has shown that there is a correlation between balance training and increase of performance and decrease in injuries (Oliver & Di Brezzo, 2009).

This research assessed the balance systems …


The Importance Of Prediction Model Validation And Assessment In Obesity And Nutrition Research, Andrada Ivanescu, P. Li, B. George, A. W. Brown, S. W. Keith, D. Raju, D. B. Allison Jun 2016

The Importance Of Prediction Model Validation And Assessment In Obesity And Nutrition Research, Andrada Ivanescu, P. Li, B. George, A. W. Brown, S. W. Keith, D. Raju, D. B. Allison

Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works

Deriving statistical models to predict one variable from one or more other variables, or predictive modeling, is an important activity in obesity and nutrition research. To determine the quality of the model, it is necessary to quantify and report the predictive validity of the derived models. Conducting validation of the predictive measures provides essential information to the research community about the model. Unfortunately, many articles fail to account for the nearly inevitable reduction in predictive ability that occurs when a model derived on one data set is applied to a new data set. Under some circumstances, the predictive validity can …