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Articles 2671 - 2700 of 27150
Full-Text Articles in Entire DC Network
A Paradigm For Ecological Dynamics In Predator-Prey Systems: Applications To Climate Change, Grayson D. Adams, Aditi Ghosh Dr.
A Paradigm For Ecological Dynamics In Predator-Prey Systems: Applications To Climate Change, Grayson D. Adams, Aditi Ghosh Dr.
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Poverty And Its Geospatial Association With Access To Hiv Treatment In Malawi, Zvifadzo Matsena Zingoni, Justin Okano, Joan Ponce, Luckson Dullie, Sally Blower
Poverty And Its Geospatial Association With Access To Hiv Treatment In Malawi, Zvifadzo Matsena Zingoni, Justin Okano, Joan Ponce, Luckson Dullie, Sally Blower
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Kreig: Quantifying The Relationship Between Sars-Cov-2 Viral Load And Infectiousness, Aurelien Marc
Kreig: Quantifying The Relationship Between Sars-Cov-2 Viral Load And Infectiousness, Aurelien Marc
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Shevtsov: Teaching Modeling To First-Year Life Science Students: The Ucsc Experience, Martin H. Weissman
Shevtsov: Teaching Modeling To First-Year Life Science Students: The Ucsc Experience, Martin H. Weissman
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Shevtsov: Journeying Through The Modeling Life: Tales From Teaching At Utah State University, Sindura Kularajan
Shevtsov: Journeying Through The Modeling Life: Tales From Teaching At Utah State University, Sindura Kularajan
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy
Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Simulating Interventions To Improve Reproducibility In Scientific Publications, Ben G. Fitzpatrick
Simulating Interventions To Improve Reproducibility In Scientific Publications, Ben G. Fitzpatrick
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Shevtsov: Teaching Modeling And Dynamics To First-Year Life Sciences Students: The Ucla Experience, Jane Shevtsov, Alan Garfinkel, Jess Gregg, Eric J. Deeds
Shevtsov: Teaching Modeling And Dynamics To First-Year Life Sciences Students: The Ucla Experience, Jane Shevtsov, Alan Garfinkel, Jess Gregg, Eric J. Deeds
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Kreig: Examining Affinity Maturation And Antigenic Drift With An Agent-Based Model, Jasmine Af Kreig, Jannatul Ferdous, Ruian Ke, Ruy M. Ribeiro
Kreig: Examining Affinity Maturation And Antigenic Drift With An Agent-Based Model, Jasmine Af Kreig, Jannatul Ferdous, Ruian Ke, Ruy M. Ribeiro
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modelling Saccharomyces Cerevisiae For The Production Of Fermented Beverages, Paul A. Valle Dr., Yolocuauhtli Salazar Dr., Luis N. Coria Dr., Oscar N. Soto Dr., Jesus B. Paez Dr.
Modelling Saccharomyces Cerevisiae For The Production Of Fermented Beverages, Paul A. Valle Dr., Yolocuauhtli Salazar Dr., Luis N. Coria Dr., Oscar N. Soto Dr., Jesus B. Paez Dr.
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Network Analysis Of Progress In Mathematics Research, Anna Singley
Network Analysis Of Progress In Mathematics Research, Anna Singley
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
From Ecology To Modeling Apps - Newts, Crayfish, And Slopes, Timothy Lucas
From Ecology To Modeling Apps - Newts, Crayfish, And Slopes, Timothy Lucas
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Bodine: Exploring The Versatility Of Agent-Based Modeling In Netlogo: Lessons From Education And Research, Anne E. Yust
Bodine: Exploring The Versatility Of Agent-Based Modeling In Netlogo: Lessons From Education And Research, Anne E. Yust
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Bayesian Networks And Machine Learning For Predicting Breast Cancer Growth From In Vitro Cell Count Data, Widodo Samyono
Bayesian Networks And Machine Learning For Predicting Breast Cancer Growth From In Vitro Cell Count Data, Widodo Samyono
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Bodine: Enhancing Netlogo3d Simulations: Computational Efficiency And Online Accessibility Of A Pain Model, Rachael Miller Neilan
Bodine: Enhancing Netlogo3d Simulations: Computational Efficiency And Online Accessibility Of A Pain Model, Rachael Miller Neilan
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling Opioid Addiction In Hand Surgery Patients, Eli Goldwyn, Grace Bowman, Kathryn Montovan, Julie Blackwood
Modeling Opioid Addiction In Hand Surgery Patients, Eli Goldwyn, Grace Bowman, Kathryn Montovan, Julie Blackwood
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Seshaiyer: Data-Driven Machine Learning Framework To Predict Dynamics Of Infectious Diseases Incorporating Human Behavior, Alonso Gabriel Ogueda Oliva, Dr. Padmanabhan Seshaiyer
Seshaiyer: Data-Driven Machine Learning Framework To Predict Dynamics Of Infectious Diseases Incorporating Human Behavior, Alonso Gabriel Ogueda Oliva, Dr. Padmanabhan Seshaiyer
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Seshaiyer: Using Dynamic Systems To Predict The Passage Of Climate Bills, Andrew Jacoby, Samiran Ghosh, Malay Banerjee, Padmanabhan Seshaiyer, Aditi Ghosh
Seshaiyer: Using Dynamic Systems To Predict The Passage Of Climate Bills, Andrew Jacoby, Samiran Ghosh, Malay Banerjee, Padmanabhan Seshaiyer, Aditi Ghosh
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Modeling The Synergistic Interplay Between Malaria Dynamics And Economic Growth, Ruijun Zhao, Hope Enright, Calistus Ngonghala, Olivia Prsoper
Modeling The Synergistic Interplay Between Malaria Dynamics And Economic Growth, Ruijun Zhao, Hope Enright, Calistus Ngonghala, Olivia Prsoper
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Bodine: Modeling The Impacts Of An Invasive Weevil On The Evolutionary Dynamics And Population Viability Of A Florida Endangered Bromeliad, Erin N. Bodine
Bodine: Modeling The Impacts Of An Invasive Weevil On The Evolutionary Dynamics And Population Viability Of A Florida Endangered Bromeliad, Erin N. Bodine
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Seshaiyer: Understanding Non-Linear Dynamics Of Interacting Subpopulations And Implicit Human Behavior Using Physics-Informed Neural Networks, Naima Aubry-Romero, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer
Seshaiyer: Understanding Non-Linear Dynamics Of Interacting Subpopulations And Implicit Human Behavior Using Physics-Informed Neural Networks, Naima Aubry-Romero, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Harvesting Modulation In Three Species Food Chains Using A Robust Control Approach, Hector Puebla, Mariana Rodriguez-Jara, Priti Kumar Roy
Harvesting Modulation In Three Species Food Chains Using A Robust Control Approach, Hector Puebla, Mariana Rodriguez-Jara, Priti Kumar Roy
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Identifiability And Convergence Behavior For Markov Chain Monte Carlo Using Multivariate Probit Models, Xiao Zhang
Identifiability And Convergence Behavior For Markov Chain Monte Carlo Using Multivariate Probit Models, Xiao Zhang
Michigan Tech Publications
Multivariate probit models have been popularly utilized to analysis multivariate ordinal data. However, the identifiable multivariate probit models entail the covariance matrix for the underlying multivariate normal variables to be a correlation matrix, which brings a rigorous task to conduct efficient statistical analysis. Parameter expansion to make the identifiable model to be non-identifiable has been inevitably explored. However, the effect of the expanded parameters on the convergence of Markov chain Monte Carlo (MCMC) is seldomly investigated; in addition, the comparison of MCMC developed based on the identifiable model and that based on the non-identifiable model is hardly ever explored, especially …
Impact Of Chytrid Fungal Infection On Muscle Structure In Amphibians, Esther Hassan, Chisom Ukachukwu
Impact Of Chytrid Fungal Infection On Muscle Structure In Amphibians, Esther Hassan, Chisom Ukachukwu
Science University Research Symposium (SURS)
Many fungal infections affect a wide variety of ecosystems. They cause numerous negative consequences, one in particular being the disruption of biodiversity. disrupting biodiversity and leading to numerous negative consequences. A previous study in the Kinsey lab focused on a chytrid fungal disease, Batrachochytrium dendrobatidis (Bd), a species of chytrid fungus. This disease poses a major threat to amphibian populations worldwide. The Bd zoospores infect the epidermis impacting essential systems. This leads to electrolyte transport that is conducted through the epidermis from the environment has now become disrupted and the ions required for daily functions are diminished. Eventually, these lack …
Predicting And Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence In Pancreatic Cancer, Guangbo Yu, Zigeng Zhang, Aydin Eresen, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Vahid Yaghmai, Zhuoli Zhang
Predicting And Monitoring Immune Checkpoint Inhibitor Therapy Using Artificial Intelligence In Pancreatic Cancer, Guangbo Yu, Zigeng Zhang, Aydin Eresen, Qiaoming Hou, Farideh Amirrad, Sha Webster, Surya M. Nauli, Vahid Yaghmai, Zhuoli Zhang
Pharmacy Faculty Articles and Research
Pancreatic cancer remains one of the most lethal cancers, primarily due to its late diagnosis and limited treatment options. This review examines the challenges and potential of using immunotherapy to treat pancreatic cancer, highlighting the role of artificial intelligence (AI) as a promising tool to enhance early detection and monitor the effectiveness of these therapies. By synthesizing recent advancements and identifying gaps in the current research, this review aims to provide a comprehensive overview of how AI and immunotherapy can be integrated to develop more personalized and effective treatment strategies. The insights from this review may guide future research efforts …
Communication In Noise Is The Window On Cognition, R. Haven Wiley
Communication In Noise Is The Window On Cognition, R. Haven Wiley
Animal Sentience
As Griffin surmised, communication is the window on cognition, but as shown here, only if it is noisy. This commentary is an invitation to consider the full implications of the evolution of noisy communication. A combination of Information Theory, Signal Detection Theory, and Natural Selection, in a unified theory of the evolution of communication, reveals that noise is inevitable. All organisms are thus decision makers. Perception, thought, freedom of decision, self-awareness, metabolism, and natural selection all share the consequences of signals in noise. A full understanding of each requires attention to the errors of receivers. Griffin’s hunch is correct with …
Higher Expectations: A Systematic Review Of Reporting The Science Of Propensity Score Modeling In Criminal Justice Studies, Christopher M. Campbell, Ryan M. Labrecque, Alicia D. Mckay
Higher Expectations: A Systematic Review Of Reporting The Science Of Propensity Score Modeling In Criminal Justice Studies, Christopher M. Campbell, Ryan M. Labrecque, Alicia D. Mckay
Criminology and Criminal Justice Faculty Publications and Presentations
Objectives This systematic review examined the reporting practices of propensity score modeling (PSM) in criminology and criminal justice studies. Methods There were 229 articles (with 527 individual sets of PSM analyses) published between 2000 and 2022 in the top 19 ranked criminology and criminal justice journals that were identified for study inclusion. These articles were systematically coded to assess the presence of key PSM reporting elements, including covariates, estimation methods, balancing strategy, matching type, sample size, balance assessment, sensitivity analysis, and post-PSM analyses. Results The use of PSM has increased dramatically over the last two decades. Study findings suggest that …
Holistic & Socially Just Admissions Procedures In An Artificially Intelligent (Ai) World, Lucinda Bratini, Ali Cunningham Abbott, Tracy N. Baker
Holistic & Socially Just Admissions Procedures In An Artificially Intelligent (Ai) World, Lucinda Bratini, Ali Cunningham Abbott, Tracy N. Baker
Faculty and Staff Publications & Presentations
In our ever-evolving social context, the counseling profession continues to center social justice and decolonial praxis in training programs. Simultaneously, we remain attuned to shifts in machine learning and artificial intelligence (AI) which require us to adjust and grow. This roundtable discussion shares the development of a holistic admissions review (HAR) pilot process, which incorporates relational, diversity and social justice values alongside AI innovations and current CACREP considerations.
Future-Oriented Science Learning And Its Effects On Students’ Emotions, Futures Literacy And Agency In The Anthropocene, Jessica Chan, Sibel Erduran
Future-Oriented Science Learning And Its Effects On Students’ Emotions, Futures Literacy And Agency In The Anthropocene, Jessica Chan, Sibel Erduran
School of Law, Humanities and Social Sciences
Science education bears the broader objective of nurturing students today to be scientifically-literate citizens of tomorrow who are able to foresee challenges, invent solutions and make responsible decisions for global issues. As a prelude to the new focus of agency in the Anthropocene, this paper presents an intervention on climate change with upper secondary students in a museum of natural history in England. Instructional strategies such as infusing scenarios and arts into scientific discussions were adopted to induce imagination, future-oriented thinking and emotional responses. Statistical results showed that the intervention significantly enhanced participants’ futures literacy, environmental agency and positive emotions. …
Volume 45-2 Complete Issue, C. Nicholas Raphael
Volume 45-2 Complete Issue, C. Nicholas Raphael
The Geographical Bulletin
Volume 45-2 Complete Issue