Title
Topic
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‘Framework for Department-Level Accountability To Diversify Engineering’
“Diverse teams are more innovative and creative. Nevertheless, science, technology, engineering and mathematics disciplines, including bioengineering, continue to fall short in increasing representation from persons from groups historically excluded because of their ethnicity or race. … In this Perspective, we present a framework for building, assessing and continuously improving strategic plans to improve recruitment and retention and to make departments more inclusive, including the collection of demographic data, the establishment and assessment of DEI plans, specific goal setting and assessment of achievements, with specific examples and guidelines.”Find the paper and full list of authors at Nature Reviews Bioengineering.
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‘Geometric Origin of the Intrinsic Transverse Spin Transport in a Canted-Antiferromagnet/Heavy-Metal Heterostructure’
“We theoretically study the conditions under which an intrinsic spin Nernst effect—a transverse spin current induced by an applied temperature gradient—can occur in a canted-antiferromagnet insulator, such as LaFeO3 and other materials of the same family. … Our paper provides a general derivation of a symmetry-breaking-induced spin Nernst effect, which may open a path to engineering a finite spin Nernst effect in systems where it would otherwise not arise.” Find the paper and full list of authors at Physical Review B.
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‘Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting’
“Programmatically generating tight differential privacy (DP) bounds is a hard problem. Two core challenges are (1) finding expressive, compact and efficient encodings of the distributions of DP algorithms and (2) state space explosion stemming from the multiple quantifiers and relational properties of the DP definition. We address the first challenge by developing a method for tight privacy and accuracy bound synthesis using weighted model counting on binary decision diagrams. … We address the second challenge by developing a framework for leveraging inherent symmetries in DP algorithms.” Find the paper and full list of authors at ArXiv.
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‘The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model’
“In continual learning, catastrophic forgetting is affected by multiple aspects of the tasks. Previous works have analyzed separately how forgetting is affected by either task similarity or overparameterization. In contrast, our paper examines how task similarity and overparameterization jointly affect forgetting in an analyzable model. Specifically, we focus on two-task continual linear regression, where the second task is a random orthogonal transformation of an arbitrary first task (an abstraction of random permutation tasks). We derive an exact analytical expression for the expected forgetting — and uncover a nuanced pattern.” Find the paper and full list of authors at ArXiv.
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‘Project-Based Activities to Introduce Hardware in a Software-Focused Course’
“This workshop introduces attendees to the low-level components used in the design of computer hardware, allowing them to experiment with the hardware-software interface. Attendees explore hands-on experiments that are designed for students unlikely to encounter hardware topics in their course of study. These experiments are offered in bridge courses of a graduate program enrolling students without a Computer Science background at Northeastern University (the Align MSCS Program). The workshop consists of 3 groupings of hardware experiments. In one grouping, attendees use breadboarding to construct digital circuits.” Find the paper and full list of authors in the SIGCSE 2024 proceedings.
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‘Stability of P2P Networks Under Greedy Peering (Full Version)’
“Major cryptocurrency networks have relied on random peering choice rules for making connections in their peer-to-peer networks. Generally, these choices have good properties, particularly for open, permissionless networks. Random peering choices however do not take into account that some actors may choose to optimize who they connect to such that they are quicker to hear about information being propagated in the network. In this paper, we explore the dynamics of such greedy strategies.” Find the paper and full list of authors at ArXiv.
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‘SunBlock: Cloudless Protection for IoT Systems’
“With an increasing number of Internet of Things (IoT) devices present in homes, there is a rise in the number of potential information leakage channels and their associated security threats and privacy risks. Despite a long history of attacks on IoT devices in unprotected home networks, the problem of accurate, rapid detection and prevention of such attacks remains open. … This paper investigates the potential for effective IoT threat detection locally, on a home router, using AI tools combined with classic rule-based traffic-filtering algorithms.” Find the paper and full list of authors at ArXiv.
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‘A Survey on Hypergraph Mining: Patterns, Tools and Generators’
“Hypergraphs are a natural and powerful choice for modeling group interactions in the real world, which are often referred to as higher-order networks. For example, when modeling collaboration networks, where collaborations can involve not just two but three or more people, employing hypergraphs allows us to explore beyond pairwise (dyadic) patterns and capture groupwise (polyadic) patterns. … We provide comprehensive taxonomies for them, and we also provide in-depth discussions to provide insights into future research on hypergraph mining.” Find the paper and full list of authors at ArXiv.
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‘RichWasm: Bringing Safe, Fine-Grained, Shared-Memory Interoperability Down to WebAssembly’
“Safe, shared-memory interoperability between languages with different type systems and memory-safety guarantees is an intricate problem as crossing language boundaries may result in memory-safety violations. In this paper, we present RichWasm, a novel richly typed intermediate language designed to serve as a compilation target for typed high-level languages with different memory-safety guarantees. RichWasm is based on WebAssembly and enables safe shared-memory interoperability by incorporating a variety of type features that support fine-grained memory ownership and sharing.” Find the paper and full list of authors at ArXiv.
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‘Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking’
“Fine-tuning on generalized tasks such as instruction following, code generation, and mathematics has been shown to enhance language models’ performance on a range of tasks. Nevertheless, explanations of how such fine-tuning influences the internal computations in these models remain elusive. We study how fine-tuning affects the internal mechanisms implemented in language models. As a case study, we explore the property of entity tracking, a crucial facet of language comprehension, where models fine-tuned on mathematics have substantial performance gains.” Find the paper and full list of authors at ArXiv.
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‘Measuring and Controlling Persona Drift in Language Model Dialogs’
“System-prompting is a standard tool for customizing language-model chatbots, enabling them to follow a specific instruction. An implicit assumption in the use of system prompts is that they will be stable, so the chatbot will continue to generate text according to the stipulated instructions for the duration of a conversation. We propose a quantitative benchmark to test this assumption, evaluating instruction stability via self-chats between two instructed chatbots. Testing popular models like LLaMA2-chat-70B and GPT-3.5, we reveal a significant instruction drift within eight rounds of conversations.” Find the paper and full list of authors at ArXiv.
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‘Fully Dynamic Matching: (2-√2)-Approximation in Polylog Update Time’
“We study maximum matchings in fully dynamic graphs, … graphs that undergo both edge insertions and deletions. Our focus is on algorithms that estimate the size of maximum matching after each update while spending a small time. … We show that for any fixed ɛ > 0, a (2 — √2— ɛ) approximation can be maintained in poly(log n) time per update even in general graphs. Our techniques also lead to the same approximation for general graphs in two passes of the semi-streaming setting, removing a similar gap.” Find the paper and authors list in the 2024 Annual ACM-SIAM Symposium…
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‘A Retrospective Study of One Decade of Artifact Evaluations’
“Reproducibility is a vital property of experimental and empirical research, without whichit is difficult to establish trust in derived conclusions. If results cannot be independently confirmed, they may be affected by observer bias or other confounding factors. As the full-scale reproduction of scientific results from a study takes significant time, which does not match well with the conference-focused publication in computer science, a lighter quality assurance mechanism for scientific work has been established. … After a decade of artifact evaluations, we analyze the impact they have had on published articles and artifacts.” Find the paper authors list at Software Engineering…
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‘The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing and Coloring in Bar Charts’
“Data visualizations present a massive number of potential messages to an observer. … The message that a viewer tends to notice — the message that a visualization ‘affords’ — is strongly affected by how values are arranged in a chart, e.g., how the values are colored or positioned. … We present a set of empirical evaluations of how different messages … are afforded by variations in ordering, partitioning, spacing and coloring of values, within the ubiquitous case study of bar graphs.” Find the paper and full list of authors at Transactions on Visualization and Computer Graphics.
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‘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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‘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’
“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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‘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’
“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’
“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’
“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.