Digital Commons Network^™

An Empirical Study Of Refactorings And Technical Debt In Machine Learning Systems, Yiming Tang, Raffi Khatchadourian, Mehdi Bagherzadeh, Rhia Singh, Ajani Stewart, Anita Raja

Publications and Research

Machine Learning (ML), including Deep Learning (DL), systems, i.e., those with ML capabilities, are pervasive in today's data-driven society. Such systems are complex; they are comprised of ML models and many subsystems that support learning processes. As with other complex systems, ML systems are prone to classic technical debt issues, especially when such systems are long-lived, but they also exhibit debt specific to these systems. Unfortunately, there is a gap of knowledge in how ML systems actually evolve and are maintained. In this paper, we fill this gap by studying refactorings, i.e., source-to-source semantics-preserving program transformations, performed in real-world, open-source …

Protocol For A National Probability Survey Using Home Specimen Collection Methods To Assess Prevalence And Incidence Of Sars-Cov-2 Infection And Antibody Response, Aaron J. Siegler, Patrick S. Sullivan, Travis Sanchez, Ben Lopman, Mansour Fahimi, Charles Sailey, Martin Frankel, Richard Rothenberg, Colleen F. Kelley, Heather Bradley

Publications and Research

Purpose: The U.S. response to the SARS-CoV-2 epidemic has been hampered by early and ongoing delays in testing for infection; without data on where infections were occurring and the magnitude of the epidemic, early public health responses were not data-driven. Understanding the prevalence of SARSCoV- 2 infections and immune response is critical to developing and implementing effective public health responses. Most serological surveys have been limited to localities that opted to conduct them and/or were based on convenience samples. Moreover, results of antibody testing might be subject to high false positive rates in the setting of low prevalence of immune …

Analysis Of Surface Temperature Trends Of Global Lakes Using Satellite Remote Sensing And In Situ Observations, Christal Jean Soverall, Zahida Yasmin, Mahoutin Godnou, Wen Yong Huang, Ryan Chen, Abdou Bah, Hamidreza Norouzi, Reginald Blake

Publications and Research

Even though lakes make up a small percentage of the water bodies on the global land surface, lakes provide critically important ecosystem services. Unfortunately, however, several lake surface areas around the globe have been changing with many of them drastically decreasing due to climate variability and local mismanagement at the basin-scale level. Lake Surface Water Temperature (LSWT) is recognized as a critical indicator of climate change in lakes. The changes in water and the surrounding land temperatures may be an indicator of climate variability if there is consistency between changes in both temperatures. This project focuses on the application of …

Proofs Methods And Logical Reasoning In Mathematics Promote Critical Thinking, Real-Life Problem-Solving, And Creativity Skills To The New Generation, Lucie Mingla

Publications and Research

In mathematics we start, by using discovery method, with small observations and operations, then we look for patterns, algorithms procedures, and furthermore we generalize by writing theorems, formulas, and conclusions. Our intuitive thinking, the needs for solving real-life problems, and curiosity often push us towards research and study more about things that matter to us, especially when we see that problems need to be solved right away. This kind of things have driven people now and back then depended on the era in which they have lived, or they live in. For example: In these days, because of Covid 19 …

Cooperative Target Tracking In Balanced Circular And Elliptical Formations, Lili Ma, Naira Hovakimyan

Publications and Research

This paper extends our earlier results on cooperative target tracking in cyclic pursuit using a group of mobile robots by further prescribing the formation radius and achieving an elliptical formation pattern. Prescribing the formation radius of a balanced circular formation is achieved by adjusting a parameter in the existing control input to each robot. The new elliptical formation pattern is obtained via a transformation matrix. Both single-integrator and double-integrator robot models are considered. The effectiveness of the proposed schemes is demonstrated by simulation examples.

Artificial Intelligence And Game Theory Controlled Autonomous Uav Swarms, Janusz Kusyk, M. Umit Uyar, Kelvin Ma, Eltan Samoylov, Ricardo Valdez, Joseph Plishka, Sagor E. Hoque, Giorgio Bertoli, Jefrey Boksiner

Publications and Research

Autonomous unmanned aerial vehicles (UAVs) operating as a swarm can be deployed in austere environments, where cyber electromagnetic activities often require speedy and dynamic adjustments to swarm operations. Use of central controllers, UAV synchronization mechanisms or pre-planned set of actions to control a swarm in such deployments would hinder its ability to deliver expected services. We introduce artificial intelligence and game theory based flight control algorithms to be run by each autonomous UAV to determine its actions in near real-time, while relying only on local spatial, temporal and electromagnetic (EM) information. Each UAV using our flight control algorithms positions itself …

Evolutionary Algorithms Converge Towards Evolved Biological Photonic Structures, Mamadou Aliou Barry, Vincent Berthier, Bobo D. Wilts, Marie-Claire Cambourieux, Pauline Bennet, Rémi Pollès, Olivier Teytaud, Emmanuel Centeno, Nicolas Biais, Antoine Moreau

Publications and Research

Nature features a plethora of extraordinary photonic architectures that have been optimized through natural evolution in order to more efciently refect, absorb or scatter light. While numerical optimization is increasingly and successfully used in photonics, it has yet to replicate any of these complex naturally occurring structures. Using evolutionary algorithms inspired by natural evolution and performing particular optimizations (maximize refection for a given wavelength, for a broad range of wavelength or maximize the scattering of light), we have retrieved the most stereotypical natural photonic structures. Whether those structures are Bragg mirrors, chirped dielectric mirrors or the gratings on top of …

Globe Observer Data: 2016–2019, Helen M. Amos, Matthew J. Starke, Tina M. Rogerson, Marilé Colón Robles, Travis Anderson, Rebecca Boger, Brian A. Campbell, Russanne D. Low, Peder Nelson, David Overoye, Jessica E. Taylor, Kristen L. Weaver, Trena M. Ferrell, Holli Kohl, Theresa G. Schwerin

Publications and Research

This technical report summarizes the GLOBE Observer data set from 1 April 2016 to 1 December 2019. GLOBE Observer is an ongoing NASA‐sponsored international citizen science project that is part of the larger Global Learning and Observations to Benefit the Environment (GLOBE) Program, which has been in operation since 1995. GLOBE Observer has the greatest number of participants and geographic coverage of the citizen science projects in the Earth Science Division at NASA. Participants use the GLOBE Observer mobile app (launched in 2016) to collect atmospheric, hydrologic, and terrestrial observations. The app connects participants to satellite observations from Aqua, Terra, …

Coverage Of The 2019 Eastern Equine Encephalitis Virus Outbreak On News Media, Corey H. Basch, Joseph Fera, Christie Jaime, Nasia Quininoes

Publications and Research

Background: The media plays as an important role in delivering information about emergent issues, such as the Eastern equine encephalitis virus (EEEV) outbreak of 2019. As such, there has been an increase in news coverage of vector-borne disease coverage due to a rise in emerging or re-emerging arboviruses.

Methods: The purpose of this study was to describe the content of news clips related to the recent (2019) EEEV outbreak in the United States.

Results: Only 3 of the important topics identified were mentioned in a majority of the 110 videos analyzed. These topics were, mosquito mentioned as transmitter, prevention by …

Consistent Failure To Produce A Cognitive Load Effect In Visual Working Memory Using A Standard Dual-Task Procedure, Timothy J. Ricker, Evie Vergauwe

Publications and Research

Working memory performance is impaired when an attention-demanding task is executed during memory retention. The cognitive load effect is the consistent finding that the size of the memory impairment is determined by the relative amount of time that the secondary processing task occupies attention during memory retention. Cognitive load has been proposed to be a Priority-A benchmark any model of working memory should be able to explain (Oberauer et al., 2018), in part because the effect appears to generalize across different experimental procedures and materials. Using a standard dual-task procedure, we detail four experiments using a visual working memory recall …

Mapping Gadolinium Contrast In A Complex Ionic And Photosynthesis Environment Of Pineapple By Near-Infrared And X-Ray Imaging, Subhendra Sarkar, Zoya Vinokur, Chen Xu, Tetiana Soloviova, Amina Shahbaz, Aldona Gjoni

Publications and Research

This work explores the diffusivity of a lanthanide complex, Eovist (Gadolinium-Ethoxy Benzyl Diethylenetriamine pentaacetate) that is stable in neutral media but is not in acidic environment. In the current work an acidic fruit model like pineapple that is rich in transition metals was used and a possible transmetallation reaction among Eovist and transition metal complexes was tested using X-ray imaging. Another goal of this work was to perturb the usual and the unusual photosynthesis systems that pineapple has maintained for millions of years during the evolution of circadian genes for efficient water conservation by dark photosynthesis. To detect such photosynthesis …

Philosophical Inquiry For Critical Mathematics Education, Nadia Kennedy

Publications and Research

This paper argues that critical mathematics education requires reflective knowledge, which lies outside of mathematical and technological knowledge, and which can be generated through philosophical inquiry in the classroom. Philosophical inquiry can provide “thinking tools” for questioning, challenging and critiquing implicit assumptions and misconceptions and for the reconstruction of concepts. As such, it can offer a space for critical reflection on mathematics, for the development of an epistemological approach that encourages an enriched, overarching view of mathematics and its connections to the other school disciplines, society and self. It also offers space for the deconstruction and reconstruction of beliefs about …

National Summer Transportation Institute: Increasing Career Awareness In Civil Engineering For Underserved High School Students, Melanie L. Villatoro, Janet Liou-Mark

Publications and Research

Our nation needs to increase the number of students pursuing degrees in the fields of Science, Technology, Engineering, and Mathematics (STEM) and those leading to transportation-related careers. In order to meet the demand for qualified graduates in transportation, it is necessary to diversify the pool of students entering college with an interest in these fields. The National Summer Transportation Institute (NSTI) is an educational initiative developed by the Federal Highway Administration (FHWA) and Department of Transportation (DOT). The NSTI at City Tech was designed to increase awareness of transportation-related careers among New York City high school students. The structure of …

Oral Anticoagulants For Nonvalvular Atrial Fibrillation In Frail Elderly Patients: Insights From The Aristophanes Study, G. Y. H. Lip, A. V. Keshishian, A. L. Kang, A. D. Dhamane, X. Luo, X. Li, N. Balachander, L. Rosenblatt, J. Mardekian, X. Pan, M. Di Fusco, A. B. Garcia Reeves, Huseyin Yuce, S. Deitelzweig

Publications and Research

Background

Patient frailty amongst patients with nonvalvular atrial fibrillation (NVAF) is associated with adverse health outcomes and increased risk of mortality. Additional evidence is needed to evaluate effective and safe NVAF treatment in this patient population.

Objectives

This subgroup analysis of the ARISTOPHANES study compared the risk of stroke/systemic embolism (S/SE) and major bleeding (MB) amongst frail NVAF patients prescribed nonvitamin K antagonist oral anticoagulants (NOACs) or warfarin.

Methods

This comparative retrospective observational study of frail, older NVAF patients who initiated apixaban, dabigatran, rivaroxaban or warfarin from 01JAN2013‐30SEP2015 was conducted using Medicare and 3 US commercial claims databases. To compare …

A Differential-Algebraic Criterion For Obtaining A Small Maximal Cohen-Macaulay Module, Hans Schoutens

Publications and Research

We show how for a three-dimensional complete local ring in positive characteristic, the existence of an F-invariant, differentiable derivation implies Hochster’s small MCM conjecture. As an application we show that any three-dimensional pseudo-graded ring in positive characteristic satisfies Hochster’s small MCM conjecture.

Circuits With Broken Fibration Symmetries Perform Core Logic Computations In Biological Networks, Ian Leifer, Flaviano Morone, Saulo D. S. Reis, José S. Andrade Jr., Mariano Sigman, Hernán A. Makse

Publications and Research

We show that logic computational circuits in gene regulatory networks arise from a fibration symmetry breaking in the network structure. From this idea we implement a constructive procedure that reveals a hierarchy of genetic circuits, ubiquitous across species, that are surprising analogues to the emblematic circuits of solid-state electronics: starting from the transistor and progressing to ring oscillators, current-mirror circuits to toggle switches and flip-flops. These canonical variants serve fundamental operations of synchronization and clocks (in their symmetric states) and memory storage (in their broken symmetry states). These conclusions introduce a theoretically principled strategy to search for computational building blocks …

Medical Resource Use And Costs Of Treating Sickle Cell-Related Vaso-Occlusive Crisis Episodes: A Retrospective Claims Study, Nirmish Shah, Menaka Bhor, Lin Xie, Jincy Paulose, Huseyin Yuce

Publications and Research

Background: The study investigated the economic burden of vaso-occlusive crisis (VOC) among sickle cell disease (SCD) patients, through assessment of overall utilization and costs and costs per VOC episode (regarding the number of VOC episodes and health care setting, respectively).

Methods: Using the Medicaid Analytic Extracts database, the first SCD-related diagnosis claim (index claim) between June 1, 2009–December 31, 2012 was identified among eligible adults. Patients were required to have continuous medical and pharmacy benefits for 6 months pre- and 12 months post-index. Discrete VOC claims identified within a 3-day gap were combined as a single VOC episode. Annual all-cause …

Female Breast Cancer Mortality In Relation To Puberty On Staten Island, New York, Alfred M. Levine, Donna B. Gerstle

Publications and Research

Pursuant to a Congressional act in 2008, the Department of Health and Human Services established the Interagency Breast Cancer and Environmental Research Coordinating Committee to address the burden of breast cancer in the United States. Subsequently, the Committee recommended researchers study the timing of exposure to breast cancer risk factors. Given the high breast cancer mortality rate on Staten Island, this paper presents a case-control study investigating breast cancer risk associated with puberty while living on Staten Island. The dataset combined New York City Department of Health and Mental Hygiene female death certificate information between 1985 and 2006, with life …

Fabrication Of Magnetocaloric La(Fe,Si)13 Thick Films, N H. Dung, N B. Doan, P De Rango, L Ranno, Karl G. Sandeman, N M. Dempsey

Publications and Research

La(Fe,Si)₁₃–based compounds are considered to be very promising magnetocaloric materials for magnetic refrigeration applications. Many studies have focused on this material family but only in bulk form. In this paper we report on the fabrication of thick films of La(Fe,Si)₁₃, both with and without post-hydriding. These films exhibit magnetic and structural properties comparable to bulk materials. We also observe that the ferromagnetic phase transition has a negative thermal hysteresis, a phenomenon not previously found in this material but which may have its origins in the availability of a strain energy reservoir, as in the cases of …

Representing Percents And Personas: Designing Syncretic Curricula For Modeling And Statistical Reasoning, Sarah Radke, Sara Vogel, Christopher Hoadley, Jasmine Ma

Publications and Research

Syncretic literacy can link everyday and scientific concepts in student learning. In this paper we describe the design and implementation of a curricular unit in a bilingual middle school science class developed to help students link everyday conceptions, conceptions from math, science, and computer science, and their own broad linguistic repertoires to support syncretic literacy in modeling and statistics in a unit on post-Hurricane Maria outmigration from Puerto Rico. The unit invited students to use printed maps, physical objects, computer code, and simulations to explore concepts such as percentages and scientific models, framed by an approach from translanguaging pedagogy. Qualitative …

Languages, Literacies, And Literate Programming: Can We Use The Latest Theories On How Bilingual People Learn To Help Us Teach Computational Literacies?, Sara Vogel, Christopher Hoadley, Ana Rebeca Castillo, Laura Ascenzi-Moreno

Publications and Research

Background and Context: In this theory paper, we explore the concept of translanguaging from bilingual education, and its implications for teaching and learning programming and computing in especially computer science (CS) for all initiatives.

Objective: We use translanguaging to examine how programming is and isn’t like using human languages. We frame CS as computational literacies. We describe a pedagogical approach for teaching computational literacies.

Method: We review theory from applied linguistics, literacy, and computational literacy. We provide a design narrative of our pedagogical approach by describing activities from bilingual middle school classrooms integrating Scratch into academic subjects.

Findings: Translanguaging pedagogy …

Effectiveness And Safety Of Oral Anticoagulants Among Nvaf Patients With Obesity: Insights From The Aristophanes Study, Steve Deitelzweig, Allison Keshishian, Amiee Kang, Amol Dhamane, Xuemei Luo, Xiaoyan Li, Neeraja Balachander, Lisa Rosenblatt, Jack Mardekian, Xianying Pan, Manuela Di Fusco, Alessandra B. Garcia Reeves, Huseyin Yuce, Gregory Y. H. Lip

Publications and Research

This ARISTOPHANES analysis examined stroke/systemic embolism (SE) and major bleeding (MB) among a subgroup of nonvalvular atrial fibrillation (NVAF) patients with obesity prescribed warfarin or non-vitamin K antagonist oral anticoagulants (NOACs) in order to inform clinical decision making. A retrospective observational study was conducted among NVAF patients who were obese and initiated apixaban, dabigatran, rivaroxaban, or warfarin from 1 January 2013–30 September 2015, with data pooled from CMS Medicare and four US commercial claims databases. Propensity score matching was completed between NOACs and against warfarin in each database, and the results were pooled. Cox models were used to evaluate the …

Challenges In Quantifying Air‐Water Carbon Dioxide Flux Using Estuarine Water Quality Data: Case Study For Chesapeake Bay, Maria Herrmann, Raymond G. Najjar, Fei Da, Jaclyn R. Friedman, Marjorie A. M. Friedrichs, Sreece Goldberger, Alana Menendez, Elizabeth H. Shadwick, Edward G. Stets, Pierre St-Laurent

Publications and Research

Estuaries play an uncertain but potentially important role in the global carbon cycle via CO₂ outgassing. The uncertainty mainly stems from the paucity of studies that document the full spatial and temporal variability of estuarine surface water partial pressure of carbon dioxide ( pCO₂). Here, we explore the potential of utilizing the abundance of pH data from historical water quality monitoring programs to fill the data void via a case study of the mainstem Chesapeake Bay (eastern United States). We calculate pCO₂ and the air-water CO₂ flux at monthly resolution from 1998 to …

Measuring The Temporal Stability Of Near-Repeat Crime Patterns: A Longitudinal Analysis, David Hatten, Eric L. Piza

Publications and Research

This study investigates the temporal stability of identified near-repeat robbery patterns in Newark, New Jersey. With one noteworthy exception, scholars have yet to explore the temporal stability of identified spatiotemporal crime clusters. Furthermore, researchers have yet to measure the near-repeat phenomenon longitudinally. To fill this gap, this study employs a longitudinal design to measure variation in effect size and significance of identified near- repeat crime patterns across 13 “rolling” one-year time periods within a 2-year study period (January 2015–December 2016). Temporal instability was found within two out of six spatiotemporal crime clusters. Results are reported in the form of formalized …

Decision Tree For Predicting The Party Of Legislators, Afsana Mimi

Publications and Research

The motivation of the project is to identify the legislators who voted frequently against their party in terms of their roll call votes using Office of Clerk U.S. House of Representatives Data Sets collected in 2018 and 2019. We construct a model to predict the parties of legislators based on their votes. The method we used is Decision Tree from Data Mining. Python was used to collect raw data from internet, SAS was used to clean data, and all other calculations and graphical presentations are performed using the R software.

Using Data Mining To Identify The Most Influential Factors In Training Results, Xiaoqing Wu, Daanial Ahmad

Publications and Research

Data Science is used as a tool to find hidden facts in the data. We want to find out what factors such as ‘AGE’, ‘TAX’, ‘PUPIL-TEACHER RATIO’, ‘PER-CAPITA INCOME’ contribute the most to housing prices. To answer this question, we studied the dataset of “Boston Houses Prices”. By applying the Lasso Regression (a Data Mining Technique) on the data set of “Boston Houses Prices” we identified the influential factors in the linear model. As a conclusion we found that there were six inputs which contributed the most to the prices of houses and those inputs are as follow: (i) CRIM-per …

An In-Depth Look At P-Adic Numbers, Xiaona Zhou

Publications and Research

In this study, we consider $p$-adic numbers. We will also study the $p$-adic norm representation of real number, which is defined as $\mathbb{Q}_p = \{\sum_{j=m}^{\infty }a_j p^j: a_j \in \mathbb{D}_p, m\in\mathbb{Z}, a_m\neq 0\} \cup \{0\}$, where $p$ is a prime number. We explore properties of the $p$-adics by using examples. In particular, we will show that $\sqrt{6},i \in \mathbb{Q}_5$ and $\sqrt{2} \in \mathbb{Q}_7 $. $p$-adic numbers have a wide range of applicationsnin fields such as string theory, quantum mechanics, and transportation in porous disordered media in geology.

Presence Of Electron Donor/Acceptor Radiographic Contrast Media In Unusual Photosynthesis Environment Of Fresh Plant Cells: Near-Infrared And X-Ray Characterization, Tetiana Soloviova, Subhendra Sarkar, Amina Shahbaz, Aldona Gjoni

Publications and Research

Photosynthesis is a chemical process through which light energy is used to convert inorganic material (water and carbon dioxide) into organic molecules. Anaerobic photosynthesis, also known as anoxygenic photosynthesis, is the process by which certain bacteria use light energy to create organic compounds but do not adequately involve oxygen. In this experiment we are trying to influence photosynthesis (light and dark reactions: PS-I and PS-II by electron rich gadolinium/iodine complexes like Eovist and Isovue. We also performed X-ray and NIR reflection spectroscopy (NIRS) to measure Gd difusivity and PS-I/II infrared response. The results for X-ray (45kvp and 5 Mas ) …

Uptake Of Co(Ii) Ions From Aqueous Solutions By Low-Cost Biopolymers And Their Hybrid, Mohamdia Nassar, Abel E. Navarro

Publications and Research

Alginate hydrogel beads (AB), spent peppermint leaf (PM), and a hybrid adsorbent of these two materials (ABPM), were studied as potential adsorbents of Cobalt (II) ions from aqueous solutions in batch system at room temperature. Equilibrium parameters such as solution pH, mass of adsorbent and the presence of a crowding agent on the adsorption of Co(II) ions were investigated. The results indicate that Co(II) uptake is maximized at pH values higher than 5, with adsorbent doses in the range 120-200 mg. Co(II) adsorption followed the trend AB > ABPM > PM with adsorption percentages of 77%, 71% and 64%, respectively.

Sensor Data Analysis In Smart Buildings, Manuel A. Mane Penton

Publications and Research

Data analysis and Machine Learning are destined to evolve the current technology infrastructure by solving technology and economy demands present mainly in developed cities like New York. This research proposes a machine learning (ML) based solution to alleviate one of the main issues that big buildings such as CUNY campuses have, that is the waste of energy resources. The analysis of data coming from the readings of different deployed sensors such as CO2, humidity and temperature can be used to estimate occupancy in a specific room and building in general. The outcome of this research established a relationship between the …