Research

Groundbreaking work and published results in peer reviewed journals across disciplines.

Title

Topic

  • ‘Giant Mobile Coralliths From the Florida Keys, USA’

    “Coralliths are spherical, free-living (motile), scleractinian colonies inhabiting present day and ancient coral reefs. They form by the coral rolling on the seabed which can occur through biological and/or physical processes. While diving and snorkeling in nearshore environments in the upper Florida Keys, we observed hundreds of coralliths of varying sizes and species. … The largest coralliths we observed were all [Solenastrea] bournoni and ranged between 0.5 and 1.4 m in diameter. The exceptionally large colonies identified (>1 m) may be the largest and oldest spherical coralliths described to date.” Find the paper and authors list at the Bulletin of Marine…

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  • ‘Twisty-Puzzle-Inspired Approach to Clifford Synthesis’

    “The problem of decomposing an arbitrary Clifford element into a sequence of Clifford gates is known as Clifford synthesis. Drawing inspiration from similarities between this and the famous Rubik’s cube twisty puzzle, we develop a machine learning approach for Clifford synthesis based on learning an approximation to the distance to the identity. This approach is probabilistic and computationally intensive. However, when a decomposition is successfully found, it often involves fewer gates than the decomposition methods used in the Qiskit decomposition protocol, which uses a combination of several well-known Clifford decomposition schemes.” Find the paper and authors list at Physical Review A.

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  • ‘Fair Group Decisions via Non-Deterministic Proportional Consensus’

    “Are there group decision methods which (i) give everyone, including minorities, an equal share of effective decision power even when voters act strategically, (ii) promote consensus and equality, rather than polarization and inequality, and (iii) do not favour the status quo or rely too much on chance? We describe two non-deterministic group decision methods that meet these criteria, one based on automatic bargaining over lotteries, the other on conditional commitments to approve compromise options.” Find the paper and full list of authors at Social Choice and Welfare.

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  • ‘Interpretation Issues With “Genomic Vulnerability” Arise From Conceptual Issues in Local Adaptation and Maladaptation’

    “As climate change causes the environment to shift away from the local optimum that populations have adapted to, fitness declines are predicted to occur. Recently, methods known as genomic offsets (GOs) have become a popular tool to predict population responses to climate change from landscape genomic data. Populations with a high GO have been interpreted to have a high “genomic vulnerability” to climate change. … This study uses hypothetical and empirical data to explore situations in which different types of fitness offsets may or may not be correlated with each other or with a GO.”

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  • Advancing wireless with ‘Deep learning-based polymorphic platform’

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    “Electrical and computer engineering William Lincoln Smith Professor Tommaso Melodia and assistant professor Francesco Restuccia were awarded a patent for ‘Deep learning-based polymorphic platform.'”

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  • ‘In Situ Polymer Gelation in Confined Flow Controls Intermittent Dynamics’

    “Polymer flows through pores, nozzles and other small channels govern engineered and naturally occurring dynamics in many processes. … The crosslinking of polymers can change their material properties dramatically, and it is advantageous to know a priori whether or not crosslinking polymers will lead to clogged channels or cessation of flow. In this study, we investigate the flow of a common biopolymer, alginate, while it undergoes crosslinking by the addition of a crosslinker, calcium, driven through a microfluidic channel at constant flow rate.” Find the paper and full list of authors at Soft Matter.

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  • ‘The Expressive Function of Public Policy: Renewable Energy Mandates Signal Social Norms’

    “Addressing collective action problems requires individuals to engage in coordinated and cooperative behaviours. Existing research suggests that individuals’ propensity to work together depends in part on their belief that others support the cause in question. People form their expectations about prevalent beliefs and behaviours from many sources. To date, most of the literature has focussed on how social norm perceptions are inferred from peers or summary statistics. We explore an understudied source of norm information: the passage of policies by democratically elected institutions.” Find the paper and full list of authors at Philosophical Transactions of the Royal Society B.

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  • ‘Experimental and Data Analysis Advances in Thermal Proteome Profiling’

    “Method development for mass spectrometry (MS)-based thermal shift proteomic assays have advanced to probe small molecules with known and unknown protein-ligand interaction mechanisms and specificity, which is predominantly used in characterization of drug-protein interactions. … In this review, we discuss areas of improvement at each stage of thermal proteome profiling data analysis that includes processing of MS-based data, method development, and their effect on the overall quality of thermal proteome profiles.” Find the paper and full list of authors at Cell Reports Methods.

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  • ‘FANCJ Promotes PARP1 Activity during DNA replication that Is Essential in BRCA1 Deficient Cells’

    “The effectiveness of poly (ADP-ribose) polymerase inhibitors (PARPi) in creating single-stranded DNA gaps and inducing sensitivity requires the FANCJ DNA helicase. Yet, how FANCJ relates to PARP1 inhibition or trapping, which contribute to PARPi toxicity, remains unclear. Here, we find PARPi effectiveness hinges on S-phase PARP1 activity, which is reduced in FANCJ deficient cells as G-quadruplexes sequester PARP1 and MSH2.” Find the paper and full list of authors at Nature Communications.

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  • ‘Ensemble2: Scenarios Ensembling for Communication and Performance Analysis’

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    “Throughout the COVID-19 pandemic, scenario modeling played a crucial role in shaping the decision-making process of public health policies. Unlike forecasts, scenario projections rely on specific assumptions about the future that consider different plausible states-of-the-world that may or may not be realized. … As a consequence, long-term scenario projections require different evaluation criteria than the ones used for traditional short-term epidemic forecasts. Here, we propose a novel ensemble procedure for assessing pandemic scenario projections using the results of the Scenario Modeling Hub (SMH) for COVID-19 in the United States (US).” Find the paper and full list of authors in Epidemics.

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  • ‘AI Fairness in Action: A Human-Computer Perspective on AI Fairness in Organizations and Society’

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    “As fairness is acutely subjective in nature, and it is those subjective experiences that determine behavioral outcomes, it follows that the use of AI systems in decision-making raises important concerns about the fairness of processes, treatment and outcomes. Therefore, we need to situate the psychology of how humans perceive fairness into the realm of algorithmic decision-making. … In this special issue, we aim to fill these voids [in the literature] by presenting theoretical and empirical work that contribute to our understanding of what AI fairness encapsulates.” Find the paper and full list of authors at the International Journal of Human–Computer…

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  • ‘Accounting for Hydroclimatic Properties in Flood Frequency Analysis Procedures’

    “Flood hazard is typically evaluated by computing extreme flood probabilities from a flood frequency distribution following nationally defined procedures. … These procedures, also known as flood frequency analysis, typically recommend only one probability distribution family for all watersheds within a country or region. However, large uncertainties associated with extreme flood probability estimates (>50-year flood or Q50) can be further biased when fit to an inappropriate distribution model. … Here, we demonstrate that hydroclimatic parameters can aid in the selection of a parametric flood frequency distribution.” Find the paper and full list of authors at Hydrology and Earth System Sciences.

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  • ‘Physical Activity-Related Individual Differences in Functional Human Connectome Are Linked to Fluid Intelligence in Older Adults’

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    “The study examined resting state functional connectivity (rs-FC) associated with moderate-to-vigorous physical activity (MV-PA), sedentary time (ST), TV viewing, computer use and their relationship to cognitive performance in older adults. We used pre-intervention data from 119 participants from the Fit & Active Seniors trial. … Our findings suggest that greater functional integration within networks implementing top-down control and within those supporting visuospatial abilities, paired with segregation between networks critical and those not critical to top-down control, may help promote cognitive reserve in more physically active seniors.” Find the paper and full list of authors at Neurobiology of Aging.

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  • ‘Spin–Orbit Exciton–Induced Phonon Chirality in a Quantum Magnet’

    “Phonons are known as an important energy carrier and their interaction with electrons is critical for understanding exotic properties in correlated materials. … Chiral phonons arising from circular ionic motions alone would only exhibit a small magnetic moment. In contrast, chiral phonons reported recently in several classes of materials including the pseudogap phase of cuprates and topological semimetals exhibit surprisingly large moments. Here, we report studies of chiral phonons in CoTiO3, a quantum magnet that hosts interesting bosonic excitations such as topological magnons and spin–orbit excitons.” Find the paper and full list of authors at PNAS.

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  • ‘Effect of Emotion Naming on Emotion Regulation in Younger and Older Adults’

    “Prior research has shown that naming one’s emotions before regulation has a detrimental effect on regulation success (Nook et al., 2020). … The aim of the current replication-extension study was to evaluate whether this effect would replicate in an older adult sample. Due to age-related changes in emotion regulation knowledge and behaviors, we hypothesized that age would moderate this effect. … However, contrary to our hypothesis, this effect was larger in older adults (d=.82) than younger adults (d=.41). These findings suggest that affect crystallization may be stronger or faster in older adulthood.” Find the paper and list of authors at Innovation…

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  • ‘Associations Between Cognitive Resources and Emotion Regulation Tactics in an Adult Lifespan Sample’

    “The current study investigated how trait-level cognitive capacity relates to emotion regulation tactic preferences in everyday life in adulthood and old age. 51 younger adults (ages 18-39), 53 middle-aged adults (ages 40-59), and 55 older adults (ages 60+) completed measures of working memory and verbal fluency, as well as 21 days of experience sampling. On each survey, participants indicated if they had regulated since the last survey and if so, what emotion regulation strategies they used and how they implemented that strategy through specific emotion regulation tactics.” Find the paper and full list of authors at Innovation in Aging.

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  • ‘Modeling the Role of Immune Cell Conversion in the Tumor-Immune Microenvironment’

    “Tumors develop in a complex physical, biochemical, and cellular milieu, referred to as the tumor microenvironment. Of special interest is the set of immune cells that reciprocally interact with the tumor, the tumor-immune microenvironment (TIME). … While tumor cells are known to induce immune cells to switch from anti-tumor to pro-tumor phenotypes, this type of ecological interaction has been largely overlooked. To address this gap in cancer modeling, we develop a minimal, ecological model of the TIME with immune cell conversion, to highlight this important interaction and explore its consequences.” Find the paper and authors list at Bulletin of Mathematical…

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  • ‘Switching the Spin Cycloid in BiFeO3 With an Electric Field’

    “Bismuth ferrite (BiFeO3) is a multiferroic material that exhibits both ferroelectricity and canted antiferromagnetism at room temperature, making it a unique candidate in the development of electric-field controllable magnetic devices. The magnetic moments in BiFeO3 are arranged into a spin cycloid, resulting in unique magnetic properties which are tied to the ferroelectric order. Previous understanding of this coupling has relied on average, mesoscale measurements. Using nitrogen vacancy-based diamond magnetometry, we observe the magnetic spin cycloid structure of BiFeO3 in real space.” Find the paper and full list of authors at Nature Communications.

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  • Joshi, Nguyen receive patent for ‘therapeutic protein’-secreting bacteria

    Associate professor of chemistry and chemical biology Neel S. Joshi, with student Peter Nguyen, received a patent for “Engineered bacteria that secrete therapeutic polypeptides, pharmaceutical compositions comprising the bacteria, methods for producing recombinant polypeptides and methods for using the bacteria for diagnostic and therapeutic purposes.”

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  • ‘Multivariate Pattern Analysis ff Childhood Functional Brain Network Connectivity After Acute Moderate-to-Vigorous Physical Activity’

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    “An acute bout of moderate-to-vigorous physical activity (MVPA) can transiently benefit mood and cognition, which may have a basis in resting-state functional brain network connectivity. Yet, little is known about how acute MVPA affects childhood network connectivity and no prior research has utilized a data-driven approach. … With multivariate pattern analysis of functional connectivity, we aimed to characterize the modulation of childhood neural networks resultant from acute MVPA.” Find the paper and full list of authors at Medicine & Science in Sports & Exercise.

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  • Patent for network slicing policies

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    “Electrical and computer engineering assistant research professor Salvatore D’oro, assistant professor Francesco Restuccia and professor Tommaso Melodia were awarded a patent for ‘Methods for the Enforcement of Network Slicing Policies in Virtualized Cellular Networks.'”

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  • ‘A Gradient of Unisons: The Emergent Superunit in Collective Action’

    “As design practice shifts from designing material goods to shaping and facilitating social situations, there is a compelling need to develop a richer understanding of specific social relations as facilitated by design. This article explores bodied unisons—enkinaesthetic entrainments of self + other. We present these unison acts as identifiable patterns of behavior that are observable when people coordinate, patterns that foster a move from individual to superunit.” Find the paper and full list of authors at Design Issues.

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  • ‘Quasi-Fermi Liquid Behavior in a One-Dimensional System of Interacting Spinless Fermions’

    “We present numerical evidence for a paradigm in one-dimensional interacting fermion systems, whose phenomenology has traits of both Luttinger liquids and Fermi liquids. This state, dubbed a quasi-Fermi liquid, possesses a discontinuity in its fermion occupation number at the Fermi momentum. The excitation spectrum presents particlelike quasiparticles and absence of holelike quasiparticles, giving rise instead to edge singularities.” Find the paper and full list of authors at Physical Review B.

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  • ‘Rigor With Machine Learning From Field Theory to the Poincaré Conjecture’

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    “Despite their successes, machine learning techniques are often stochastic, error-prone and blackbox. How could they then be used in fields such as theoretical physics and pure mathematics for which error-free results and deep understanding are a must? In this Perspective, we discuss techniques for obtaining zero-error results with machine learning, with a focus on theoretical physics and pure mathematics. Non-rigorous methods can enable rigorous results via conjecture generation or verification by reinforcement learning. We survey applications of these techniques-for-rigor ranging from string theory to the smooth 4D Poincaré conjecture in low-dimensional topology.” Find the authors list in Nature Reviews: Physics.

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  • ‘Carvings in Stone: Design Research for Public Health Investigations in the Age of COVID-19’

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    “The COVID-19 pandemic presented complex challenges to public health research involving human subjects, necessitating creative thinking to maintain safe and productive qualitative data collection. In this paper, we describe how an interdisciplinary team overcame these challenges by translating in-person workshops into at-home design probes to explore connections between university students’ climate change attitudes and their health. … This case study provides insight into how pandemic-imposed restrictions presented a novel opportunity to reconceptualize how we collect qualitative data in public health research and summarizes the unique benefits of integrating such design-based approaches.” Find the paper and authors list at Design for…

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  • Zhang receives NSF grant to harness magnonic nonreciprocity

    “Electrical and computer engineering assistant professor Xufeng Zhang, in collaboration with Boston University, was awarded a $420,000 NSF grant for ‘Harnessing Magnonic Nonreciprocity Through Dissipation Engineering.’ This project will investigate the principals of energy dissipation in magnonic systems and engineering approaches for manipulating dissipations.”

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  • ‘An Empirical Study of How Service Designers Use Metrics’

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    “Scholars have advocated for the importance of evaluation in service design, proposing comprehensive frameworks for such integration in design processes. This research seeks to complement existing theoretical studies by providing empirical insights into the utilization of metrics by practicing service designers. Our study presents findings derived from a global survey and in-depth interviews conducted with service designers from eleven countries.” Find the paper and full list of authors at She Ji: The Journal of Design, Economics, and Innovation.

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  • ‘Modeling Benefits and Tradeoffs of Green Infrastructure: Evaluating and Extending Parsimonious Models for Neighborhood Stormwater Planning’

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    “Green infrastructure is often proposed to complement conventional urban stormwater management systems that are stressed by extreme storms and expanding impervious surfaces. Established hydrological and hydraulic models inform stormwater engineering but are time- and data-intensive or aspatial, rendering them inadequate for rapid exploration of solutions. Simple spreadsheet models support quick site plan assessments but cannot adequately represent spatial interactions beyond a site. The present study builds on the Landscape Green Infrastructure Design (L-GrID) Model, a process-based spatial model that enables rapid development and exploration of green infrastructure scenarios to mitigate neighborhood flooding.” Find the paper at Heliyon.

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