Title
Topic
-
‘Does More Advice Help? The Effects of Second Opinions in AI-Assisted Decision Making’
“AI assistance in decision-making has become popular, yet people’s inappropriate reliance on AI often leads to unsatisfactory human-AI collaboration performance. In this paper, through three pre-registered, randomized human subject experiments, we explore whether and how the provision of {second opinions} may affect decision-makers’ behavior and performance in AI-assisted decision-making. We find that if both the AI model’s decision recommendation and a second opinion are always presented together, decision-makers reduce their over-reliance on AI while increase their under-reliance on AI.” Find the paper and full list of authors at ArXiv.
-
‘Native Capillary Electrophoresis–Mass Spectrometry of Near 1 MDa Non-Covalent GroEL/GroES/Substrate Protein Complexes’
“Protein complexes are essential for proteins’ folding and biological function. Currently, native analysis of large multimeric protein complexes remains challenging. Structural biology techniques are time-consuming and often cannot monitor the proteins’ dynamics in solution. Here, a capillary electrophoresis-mass spectrometry (CE–MS) method is reported to characterize, under near-physiological conditions, the conformational rearrangements of ∽1 MDa GroEL upon complexation with binding partners involved in a protein folding cycle.” Find the paper and full list of authors at Advanced Science.
-
‘Emotion Regulation Convoys: Individual and Age Differences in the Hierarchical Configuration of Emotion Regulation Behaviors in Everyday Life’
“A key limitation of studying emotion regulation behavior is that there is currently no way to describe individual differences in use across a range of tactics, which could lead to investigations of intraindividual changes over time or interindividual differences as a function of personality, age, culture, or psychopathology diagnosis. We, therefore, introduce emotion regulation convoys. This research tool provides a snapshot of the hierarchy of emotion regulation tactics an individual favors across everyday life situations and how effective they are at regulating moods.” Find the paper and full list of authors at Research Gate.
-
‘Linear Extension and Calcification Rates in a Cold-Water, Crustose Coralline Alga are Modulated by Temperature, Light and Salinity’
“Long-lived crustose coralline algae are important ecosystem engineers and environmental archives in regions where observations of climate variability are sparse. … Here, we present the results of the first, to-our-knowledge, controlled laboratory experiment isolating the effects of light, temperature, and salinity on calcification rates of C. compactum. Algal calcification rates were modulated by a combination of light exposure, salinity, and temperature, where temperature and salinity were positively correlated, and light level was negatively correlated with calcification rate.” Find the paper and full list of authors in Limnology and Oceanography.
-
‘Covalent Inhibition of Pro-Apoptotic BAX’
“BCL-2-associated X protein (BAX) is a promising therapeutic target for activating or restraining apoptosis in diseases of pathologic cell survival or cell death, respectively. In response to cellular stress, BAX transforms from a quiescent cytosolic monomer into a toxic oligomer. … In this study, we performed a disulfide tethering screen to discover C126-reactive molecules that modulate BAX activity. We identified covalent BAX inhibitor 1 (CBI1) as a compound that selectively derivatizes BAX at C126 and inhibits BAX activation by triggering ligands or point mutagenesis.” Find the paper and full list of authors at Nature Chemical Biology.
-
Vision paper: ‘Towards Mobility Data Science’
“Mobility data captures the locations of moving objects such as humans, animals and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning and health sciences. In this paper, we present the emerging domain of mobility data science. Towards a unified approach to mobility data science, we envision a pipeline having the following components: mobility data collection, cleaning, analysis, management and privacy.” Find the paper and full list of authors at ArXiv.
-
‘Distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive Systems of Older Adults With Mild Cognitive Impairment’
“While consumer digital calendars are widely used for appointment reminders, they do not fulfill all of the compensatory functions that are supported by calendars designed for cognitive rehabilitation therapies. … We employed a Distributed Cognition framework to elucidate how older adults with mild cognitive impairment (MCI) and their care partners manage calendaring details when supported by a traditional rehabilitation calendar. … We used a Distributed Cognition framing to articulate information flows and breakdowns in participants’ calendaring systems.” Find the paper and full list of authors in the International Conference on Ubiquitous Computing and Ambient Intelligence proceedings.
-
‘An Efficient OFDM-Based Monostatic Radar Design for Multitarget Detection’
“In this paper, we propose a monostatic radar design for multitarget detection based on orthogonal-frequency division multiplexing, where the monostatic radar is co-located with the transmit antenna. The monostatic antenna has the perfect knowledge of the transmitted signal and listens to echoes coming from the reflection of fixed or moving targets. We estimate the target parameters, i.e., range and velocity, using a two-dimensional periodogram. By this setup we improve the periodogram estimation performance under the condition of low signal-to-noise ratio using Zadoff-Chu precoding and the discrete Fourier transform channel estimation.” Find the paper and authors list at IEEE Access.
-
‘DREiMac: Dimensionality Reduction With Eilenberg-MacLane Coordinates’
“DREiMac is a library for topological data coordinatization, visualization, and dimensionality reduction. Currently, DREiMac is able to find topology-preserving representations of point clouds taking values in the circle, in higher dimensional tori, in the real and complex projective spaces, and in lens spaces. In a few words, DREiMac takes as input a point cloud together with a topological feature of the point cloud (in the form of a persistent cohomology class), and returns a map from the point cloud to a well-understood topological space.” Find the paper and full list of authors at the Journal of Open Source Software.
-
The Ocean Census project aims to discover 100,000 species in the next 10 years
Knowledge remains “the most important ingredient in protecting the planet,” says Dan Distel, research professor in biology and marine and environmental sciences at Northeastern University. The Ocean Census project, a collaboration between universities and environmental institutes across the globe, will accelerate the taxonomic process, adding to scientists’ understanding of how marine environments function.
-
‘”Why Did You Say That?”: Understanding Explainability in Conversational AI Systems for Older Adults With Mild Cognitive Impairment’
“As Conversational AI systems evolve, their user base widens to encompass individuals with varying cognitive abilities, including older adults facing cognitive challenges like Mild Cognitive Impairment (MCI). Current systems, like smart speakers, struggle to provide effective explanations for their decisions or responses. This paper argues that the expectations and requirements for AI explanations for older adults with MCI differ significantly from conventional Explainable AI (XAI) research goals.” Find the article and full list of authors in the Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence.
-
‘A Graphical Model of Hurricane Evacuation Behaviors’
“Natural disasters such as hurricanes are increasing and causing widespread devastation. People’s decisions and actions regarding whether to evacuate or not are critical and have a large impact on emergency planning and response. Our interest lies in computationally modeling complex relationships among various factors influencing evacuation decisions. We conducted a study on the evacuation of Hurricane Irma. … We evaluated different graphical structures based on conditional independence tests using Irma data. The final model … shows that both risk perception (threat appraisal) and difficulties in evacuation (coping appraisal) influence evacuation decisions.” Find the paper and full list of authors at ArXiv.
-
‘The OpenMolcas Web: A Community-Driven Approach to Advancing Computational Chemistry’
“The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections. … This report offers an overview of the chemical phenomena and processes OpenMolcas can address, while showing that OpenMolcas is an attractive platform for state-of-the-art atomistic computer simulations.” Find the paper and full list of authors at the Journal of Chemical Theory and Computation.
-
‘Testing Language Model Agents Safely in the Wild’
“A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild. Yet real-world autonomous tests face several unique safety challenges, both due to the possibility of causing harm during a test, as well as the risk of encountering new unsafe agent behavior through interactions with real-world and potentially malicious actors. We propose a framework for conducting safe autonomous agent tests on the open internet: agent actions are audited by a context-sensitive monitor that enforces a stringent safety boundary to stop an unsafe test, with suspect behavior ranked and logged to be examined by humans.” Find the paper and full authors list at ArXiv.
-
‘The Verse Calculus: A Core Calculus for Deterministic Functional Logic Programming’
“Functional logic languages have a rich literature, but it is tricky to give them a satisfying semantics. … We describe the Verse calculus, VC, a new core calculus for deterministic functional logic programming. Our main contribution is to equip VC with a small-step rewrite semantics, so that we can reason about a VC program in the same way as one does with lambda calculus; that is, by applying successive rewrites to it. We also show that the rewrite system is confluent for well-behaved terms.” Find the article and authors list in the Proceedings of the ACM on Programming Languages.
-
‘Fast and Expressive Gesture Recognition Using a Combination-Homomorphic Electromyogram Encoder’
“We study the task of gesture recognition from electromyography (EMG), with the goal of enabling expressive human-computer interaction at high accuracy, while minimizing the time required for new subjects to provide calibration data. To fulfill these goals, we define combination gestures consisting of a direction component and a modifier component. New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures. We extrapolate to unseen combination gestures by combining the feature vectors of real single gestures to produce synthetic training data.” Find the paper and authors list at ArXiv.
-
‘FairytaleCQA: Integrating a Commonsense Knowledge Graph Into Children’s Storybook Narratives’
“AI models (including LLM) often rely on narrative question-answering (QA) datasets to provide customized QA functionalities to support downstream children education applications; however, existing datasets only include QA pairs that are grounded within the given storybook content, but children can learn more when teachers refer the storybook content to real-world knowledge (e.g., commonsense knowledge). We introduce the FairytaleCQA dataset, which is annotated by children education experts, to supplement 278 storybook narratives with educationally appropriate commonsense knowledge.” Find the article and full list of authors at ArXiv.
-
‘On Hardness Assumptions Needed for “Extreme High-End” PRGs and Fast Derandomization’
“The hardness vs.~randomness paradigm aims to explicitly construct pseudorandom generators G:{0,1}r→{0,1}m that fool circuits of size m, assuming the existence of explicit hard functions. … We study whether extreme high-end PRGs can be constructed from the following scaled version of the assumption which we call “the extreme high-end hardness assumption”, and in which β=1−o(1) and B=1+o(1). We give a partial negative answer, showing that certain approaches cannot yield a black-box proof.” Find the paper and full list of authors at ArXiv.
-
‘Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness’
“Evidence-based medicine aims to improve the quality of healthcare by empowering medical decisions and practices with the best available evidence. The rapid growth of medical evidence, which can be obtained from various sources, poses a challenge in collecting, appraising, and synthesizing the evidential information. Recent advancements in generative AI, exemplified by large language models, hold promise in facilitating the arduous task. However, developing accountable, fair and inclusive models remains a complicated undertaking. In this perspective, we discuss the trustworthiness of generative AI in the context of automated summarization of medical evidence.” Find the paper and authors list at ArXiv.
-
Developing new arrays for cystic fibrosis treatment
“Chemical engineering professor Ming Su and assistant research professor Sidi Bencherif were awarded a patent for ‘Coordinately-ordered single cells with individual identities for high-throughput assay.'”
-
Rethinking innovation for the betterment of the planet
Professor Ruth Aguilera, writing with Sophie Bacq, argues that “we’re making our planet unlivable,” and as more and more planetary “limits for viability” are breached, businesses must shift the ways in which they think about innovation. “Stakeholder theory,” they write, “governs business practices in relation to the multiple or diverse constituencies touched by an organization and its activities.” Rather than focusing on a profit-only model, “Organizations that embrace a broader definition of value and rethink the way different value is apportioned and shared among diverse groups of stakeholders stand to gain in the long run.”
-
‘Stochastic Biological System-of-Systems Modeling for iPSC Culture’
“Large-scale manufacturing of induced pluripotent stem cells (iPSCs) is essential for cell therapies and regenerative medicines. Yet, iPSCs form large cell aggregates in suspension bioreactors, resulting in insufficient nutrient supply and extra metabolic waste build-up for the cells located at the core. Since subtle changes in micro-environment can lead to a heterogeneous cell population, a novel Biological System-of-Systems (Bio-SoS) framework is proposed to model cell-to-cell interactions, spatial and metabolic heterogeneity and cell response to micro-environmental variation.” Find the paper and full list of authors at ArXiv.