Digital Commons Network^™

Explaining Deep Learning Time Series Classification Models Using A Decision Tree, Ephrem T. Mekonnen, Pierpaolo Dondio, Luca Longo

Academic Posters Collection

This preliminary study proposes a new post hoc method to explain deep learning-based time series classification models using a decision tree. Our approach generates a decision tree graph or rulesets as an explanation, improving interpretability compared to saliency map-based methods. The method involves two phases: training and evaluating the deep learning-based time series classification model and extracting prototypical events from the evaluation set to train the decision tree classifier. We conducted experiments on artificial and real datasets, evaluating the explanations based on accuracy, fidelity, number of nodes, and depth. Our preliminary findings suggest that our post-hoc method improves the interpretability …

Developing A Data-Driven Statistical Model For Accurately Predicting The Superconducting Critical Temperature Of Materials Using Multiple Regression And Gradient-Boosted Methods, Emil Agbemade

Data Science and Data Mining

This study focuses on developing a statistical model for estimating the superconducting critical temperature (Tc) of materials using a data-driven strategy. The study analyzed 21,263 superconductors and used a combination of multiple regression and gradient-boosted models to make predictions. The analysis included a descriptive analysis of the distribution of Tc, feature selection using the Backwards selection method, and model diagnostics. The results showed that the gradient-boosted method outperformed the multiple linear regression method with an RMSE of 12.01 and an R² value of 88.23 after fine-tuning its hyperparameters. The study concludes that the gradient-boosted method is an effective approach …

A Linear Regression Model To Predict The Critical Temperature Of A Superconductor, Amir Alipour Yengejeh

Data Science and Data Mining

Since the superconductivity has been introduced, almost all studies in this area have been striving to predict the critical temperature ($T_{c}$) through the features extracted from the superconductor's chemical formula. In this study, thus, we are interested in exploring the linear association between $T_{c}$ and the related features.

Realism, Disagreement, And Explanation, Brian Leiter

Articles

No abstract provided.

Statistical Inference And Power Analysis For Direct And Spillover Effects In Two-Stage Randomized Experiments, Zhichao Jiang, Kosuke Imai, Anup Malani

Articles

Two-stage randomized experiments become an increasingly popular experimental design for causal inference when the outcome of one unit may be affected by the treatment assignments of other units in the same cluster. In this paper, we provide a methodological framework for general tools of statistical inference and power analysis for two-stage randomized experiments. Under the randomization-based framework, we consider the estimation of a new direct effect of interest as well as the average direct and spillover effects studied in the literature. We provide unbiased estimators of these causal quantities and their conservative variance estimators in a general setting. Using these …

How Ai Can Learn From The Law: Putting Humans In The Loop Only On Appeal, I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia,, Theodoros Evgeniou, Klaus Wertenbroch

Faculty Scholarly Works

While the literature on putting a “human in the loop” in artificial intelligence (AI) and machine learning (ML) has grown significantly, limited attention has been paid to how human expertise ought to be combined with AI/ML judgments. This design question arises because of the ubiquity and quantity of algorithmic decisions being made today in the face of widespread public reluctance to forgo human expert judgment. To resolve this conflict, we propose that human expert judges be included via appeals processes for review of algorithmic decisions. Thus, the human intervenes only in a limited number of cases and only after an …

The Multifaceted Method Of Comparative Law And Economics, Francesco Parisi

Articles

As initially conceived of in the Eighties, Comparative Law and Economics provided legal scholars a neutral language for the exploration of similarities and differences across legal systems. Its value added is the theoretical rigour of its models and the possibility to engage in a scientific dialogue not hampered by jurisdiction-specific features. At a later stage, comparative approaches became fully embedded in economic research and its empirical methods. Possible synergies with comparative legal research abound, but the organization of academic structures has so far prevented to fully exploit them.

Doing Injustice: Exchanging One “Arbitrary, Cruel, And Reckless” Sentencing System For Another, Michael Tonry

Articles

Marvin Frankel’s characterization of American sentencing in Criminal Sentences: Law Without Order remarkably successfully distilled ideas that were in the air and emerging. His main proposals—a sentencing commission, sentencing rules, requirements that judges explain their decisions, and meaningful appellate sentence review—would in a better America go a long way toward establishing the kind of rational, humane, and just process he imagined. Despite some early, partial successes, however, Frankel’s proposals remain largely untested. In retrospect, he underestimated, misunderstood, or chose to ignore formidable political impediments to serious sentencing reform in late twentieth century America. He also largely ignored two intractable problems, …

Decarbonization Analysis For Thermal Generation And Regionally Integrated Large-Scale Renewables Based On Minutely Optimal Dispatch With A Kentucky Case Study, Donovin Lewis, Aron Patrick, Evan S. Jones, Rosemary E. Alden, Abdullah Al Hadi, Malcolm D. Mcculloch, Dan Ionel

Power and Energy Institute of Kentucky Faculty Publications

Decarbonization of existing electricity generation portfolios with large-scale renewable resources, such as wind and solar photo-voltaic (PV) facilities, is important for a transition to a sustainable energy future. This paper proposes an ultra-fast optimization method for economic dispatch of firm thermal generation using high granularity, one minute resolution load, wind, and solar PV data to more accurately capture the effects of variable renewable energy (VRE). Load-generation imbalance and operational cost are minimized in a multi-objective clustered economic dispatch problem with various generation portfolios, realistic generator flexibility, and increasing levels of VRE integration. The economic feasibility of thermal dispatch scenarios is …

Azimuthal Anisotropy Measurement Of (Multi)Strange Hadrons In Au+Au Collisions At √S Nn = 54.4 Gev, Star Collaboration

Physics and Astronomy Faculty Publications

Azimuthal anisotropy of produced particles is one of the most important observables used to access the collective properties of the expanding medium created in relativistic heavy-ion collisions. In this paper, we present second (v2) and third (v3) order azimuthal anisotropies of KS0, φ, Λ, Ξ, and ω at midrapidity (|y|< 1) in Au+Au collisions at sNN=54.4 GeV measured by the STAR detector. The v2 and v3 are measured as a function of transverse momentum and centrality. Their energy dependence is also studied. v3 is found to be more sensitive to the change in the center-of-mass energy than v2. Scaling by constituent quark number is found to hold for v2 within 10%. This observation could be evidence for the development of partonic collectivity in 54.4 GeV Au+Au collisions. Differences in v2 and v3 between baryons and antibaryons are presented, and ratios of v3/v23/2 are studied and motivated by hydrodynamical calculations. The ratio of v2 of φ mesons to that of antiprotons [v2(φ)/v2(p¯)] shows centrality dependence at low transverse momentum, presumably resulting from the larger effects from hadronic interactions on antiproton v2.

Introduction To Contemporary Mathematics Syllabus (Spring 2023), Heather Nunnally

Open and Affordable Course Content at VCU

No abstract provided.

Swosu Research And Scholarly Activity Fair 2023, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) - Welcome to the Thirtieth SWOSU Research and Scholarly Activity Fair! There are 77poster presentations and 2 oral presentations involving over 130 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors encompassing activities from the SWOSU College of Pharmacy; SWOSU School of Nursing & Allied Health Sciences; and SWOSU Departments of Allied Health Sciences; Art, Communication & Theatre; Biological Sciences; Business; Computer Science; Chemistry & Physics; Engineering Technology; Language & Literature; …

Reliable Change In College Coursework Self-Efficacy, Nancy R. Patel, Matthew H. Kim, Justin E. Karr

Modern Psychological Studies

This study aimed to examine the test-retest reliability of the College Self-Efficacy Inventory-Coursework subscale (CSEI-C) and calculate cutoffs for determining reliable change. A sample of 39 college students from a U.S. university (M=19.0±1.0 years old, 84.6% women, 64.1% White) completed the CSEI-C twice (test-retest interval: M=55.4±12.4 days). The CSEI-C had good test-retest reliability, per the intraclass correlation (ICC=.85). The cutoffs of detecting reliable change were ±.91, ±1.12, and ±1.44 for 70%, 80%, and 90% confidence intervals, respectively. College students often experience mental health problems, and those presenting for psychotherapy may experience concurrent reductions in academic self-efficacy. Clinicians could use the …

Personalized Point Of Interest Recommendations With Privacy-Preserving Techniques, Longyin Cui

Theses and Dissertations--Computer Science

Location-based services (LBS) have become increasingly popular, with millions of people using mobile devices to access information about nearby points of interest (POIs). Personalized POI recommender systems have been developed to assist users in discovering and navigating these POIs. However, these systems typically require large amounts of user data, including location history and preferences, to provide personalized recommendations.

The collection and use of such data can pose significant privacy concerns. This dissertation proposes a privacy-preserving approach to POI recommendations that address these privacy concerns. The proposed approach uses clustering, tabular generative adversarial networks, and differential privacy to generate synthetic user …

Historical And Forecasted Kentucky Specific Slope Stability Analyses Using Remotely Retrieved Hydrologic And Geomorphologic Data, Daniel M. Francis

Theses and Dissertations--Civil Engineering

Hazard analyses of rainfall-induced landslides have typically been observed to experience a lack of inclusion of measurements of soil moisture within a given soil layer at a site of interest. Soil moisture is a hydromechanical variable capable of both strength gains and reductions within soil systems. However, in situ monitoring of soil moisture at every site of interest is an unfeasible goal. Therefore, spatiotemporal estimates of soil moisture that are representative of in-situ conditions are required for use in subsequent landslide hazard analyses.

This study brings together various techniques for the acquisition, modeling, and forecasting of spatiotemporal retrievals of soil …

Graduate Bulletin 2023-2024, Cuny John Jay College

College Bulletins

Covers academic year 2023-2024

Undergraduate Bulletin 2023-2024, Cuny John Jay College

College Bulletins

Covers academic year 2023-2024

Molly Hill Honors Portfolio, Molly Hill

Honors Capstone Portfolios

Molly Hill's honors portfolio captured in January 2023.

Soil Moisture And Geomorphologic Data For Use In Dynamic And Forecastable Landslide Hazard Analyses In Eastern Kentucky, Daniel M. Francis, L. Sebastian Bryson

Civil Engineering Research Data

These data are the geomorphologic and land information system-based soil moisture estimates from assimilation of NASA SMAP satellite-based observations and NOAH 3.6 Land Surface Model estimates over known landslides in Eastern Kentucky. Additionally Long Short-Term Memory Recurrent Neural Network and logistic regression machine learning codes, as well as an Application programming interface code are included. Finally, in-situ data from Eastern Kentucky is included.

Bibliography, Elizabeth Gafford

Faculty/Staff Personal Papers

Bibliography of publications by Elizabeth Gafford.

Bibliography, Huanjing Wang

Faculty/Staff Personal Papers

Bibliography of publications by Huanjing Wang.

Liminality & Festivities Facilitating Pandemic Fatigue : Songkran And The Third Wave Of Covid-19 Outbreak In Thailand, Steve Kwok-Leung Chan

Journal of Urban Culture Research

Asian countries were outstanding performers in preventing COVID-19 initially, but many suffered from a new wave of the outbreak in mid-2020. These countries sealed off their borders from the possible spread of the virus from outside. For more than one year, social distancing restrictions were applied and successfully kept the infection rates at a low level. Drawing on the initial findings of Chang et al. (2020) on the spread of the infectious disease intracity and intercity during festivals, this paper examines the outbreaks, with a probe into the case of Songkran, or the Water Festival of Thailand. The author found …

More Is Sore : A Literature Review Of The Urban Morphology Characters Of Depressing Living Conditions, Andi Zhang, Mohd Ezwan Samian, Hafiz Amirrol

Journal of Urban Culture Research

Urbanization promises a better life in cities, drawing more individuals seeking space and opportunity. However, these aspirations often result in distressing and sore living conditions. Using literature review methods, this research seeks to achieve two primary objectives: firstly, to identify elements significantly impacting mental health and contributing to stress in urban settings; and secondly, to summarize strategies within the built environment to improve the quality of live. The limitations of this research is focusing on elements discerned from existing literature and filtered by the case for high density urban. The study focuses on urban morphology elements: buildings, streets, and plots. …

Distillation Of Eugenol From Betel Leaves Using Dichloromethane Vs M.T.B.E, Muhammad Malik

Science University Research Symposium (SURS)

Eugenol is one of the most widely used natural anesthetics in the field of dentistry. It can be extracted from various types of leaves, including betel leaves, by carrying out steam distillations. In this steam distillation process, various oils are extracted from the leaves, and these oils combine to make a cloudy distillate which contains polar and nonpolar molecules. To isolate the eugenol from the other oils, a set of green and non-green solvents are used. The green solvent is MTBE, and the non-green solvent is dichloromethane. Dichloromethane has a high volatility and hazardous for the environment upon evaporation whereas …

Green And Non-Green Extraction Of Eugenol From Cloves Using Steam Distillation, Bek Yuldashbaev

Science University Research Symposium (SURS)

Eugenol is commonly found in many plants such as cloves. It is one of the most used natural anesthetics in dentistry. Indonesia is one of the places indigenous to clove trees. Its people take advantage of the pain numbing properties in cloves to aid their tooth pain. The extraction of eugenol itself can be performed through steam distillation. With the process of distillation, the steam carries the oils extracted from the clove buds and recondenses into a cloudy distillate containing polar and non-polar molecules. To separate the eugenol from the distillate, green and non-green solvents were used. The green solvent …

Establishing A Biochemical System For The Purification And Atpase Activity Of Gst-Dbp5, Sarah Utley, Rachel E. Rigsby Phd, Rebecca L. Adams Phd

Science University Research Symposium (SURS)

The export of mRNA out of the nucleus is a crucial step for eukaryotic gene expression. The export of mRNA transcripts is aided by Mex67, which allows export through the nuclear pore complex doorways in the nuclear envelope. Once out of the nucleus, a protein known as Dbp5, bound to ATP, Gle1, and Nup42 aids in the directionality of mRNA export by helping remove Mex67 from the mRNA strand. Following interaction with RNA, Dbp5 then hydrolyzes ATP so that it unbinds the mRNA, allowing for enzyme recycling. The goal of this study is to explore the ATPase activity of Saccharomyces …

Detecting Linc Complex Mps3 And Nuclear Pore Complex Ndj1 Protein Interactions On Yeast Nuclear Membrane S Through Fluorescence Microscopy, Dean Boecher, Rebecca Adams

Science University Research Symposium (SURS)

Though cancer cells have been shown to have abnormal nuclear morphologies and responses to mechanical forces, the mechanisms of how mechanical stress is translated into cellular action and structural reorganization within the nuclear envelope are largely unexplored. The Linker of Nucleoskeleton and Cytoskeleton (LINC) complex is a transmembrane protein complex that connects the actin cytoskeleton to the lamin nucleoskeleton, enabling mechanical forces to be translated between the cytoplasm and the nucleus. In cells exposed to physical stress, nuclear pore complexes (NPCs) –which control the exchange of biochemical signals and macromolecules in and out of the nucleus through mRNA export –have …

Relationship Between Tree Canopy Cover, Impervious Surfaces, & Bird Biodiversity In Urban Parks In Nashville, Tennessee​, Colin Swanson, Darlene Panvini, Lydia Mitchell

Science University Research Symposium (SURS)

Bird diversity is an indicator of the overall biodiversity in urban green spaces. Identifying factors associated with urban green spaces that strongly influence bird biodiversity can inform the development and management of urban green spaces. Parks with larger areas of impervious surfaces were predicted to have lower bird diversity than those with more tree canopy coverage. This study used iTree Canopy to determine the percentage of tree canopy and impermeable surfaces for four different areas of urban parks in Nashville, Tennessee. Two parks were closer to the urban core and two were farther away. Tree canopy and impermeable surface cover …

Anticipation, Autonomic Regulation, And Aces, Sadie K. Schiermeyer, Ella Bursky, Timothy Oakley, Emily Pyle

Science University Research Symposium (SURS)

Stress and anticipation are some of the most commonly talked about topics in the current age of self-help and wellness. Anticipatory stress has been found to aid in autonomic regulation and stress relief (Nasso et al., 2018). What’s more, adverse childhood experiences (ACEs) have been previously associated with a blunted response to stress, but the mechanisms have not been investigated. The primary aim of this study was to identify if the anticipation of a stressor significantly influenced an individual’s autonomic response. Additionally, it sought to identify any correlation between childhood trauma and individuals’ stress response. Participants were comprised of undergraduate …

Analyzing Mex67 Interaction With The Ssa4 Transcript For Selective Export, Gretchen E. Stalnaker, Rebecca Adams

Science University Research Symposium (SURS)

In eukaryotic cells, such as the budding yeast Saccharomyces cerevisiae, mRNA export is the essential process in which mature mRNA is transported from its site of production, the nucleus, through the nuclear pore complex (NPC) to the cytoplasm, where it can then be translated into protein. This is accomplished when a transcript interacts with the mRNA export protein Mex67, which shuttles the message across the NPC. When the cell is under conditions of stress, such as heat shock, most mRNA export is prohibited, allowing for selective gene expression that prioritizes cell recovery. Specifically, SSA4, which encodes a protein that …