Title
Topic
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Machine learning at play while ‘Rethinking Bacterial Relationships in Light of Their Molecular Abilities’
“Determining the repertoire of a microbe’s molecular functions is a central question in microbial genomics. Modern techniques achieve this goal by comparing microbial genetic material against reference databases of functionally annotated genes/proteins or known taxonomic markers such as 16S rRNA. Here we describe a novel approach to exploring bacterial functional repertoires without reference databases.” See the paper and the full list of authors at BioRxiv.
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Jaeger-Helton selected as Panel Fellow for NSF CMMI Game Changer Academies
“Teaching Professor Beverly Kris Jaeger-Helton was selected as a panel fellow for the 2023 National Science Foundation (NSF) CMMI Game Changer Academies for Advancing Research Innovation Program. The NSF Division of Civil, Mechanical and Manufacturing Innovation (CMMI) created the Game Changer Academies for Advancing Research Innovation to improve group dynamics during panel discussions, increase awareness of bias and identity, and enhance understanding of high-risk, high-reward ideas. Once trained, ‘Panel Fellows’ will bring enhanced skills and awareness when they participate in panel discussions during NSF merit review.”
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Protein identification methods: Now digestion free
Whereas sequencing proteins generally involves “digestion into short peptides before detection and identification,” the authors of this paper have “developed a digestion-free method to chemically unfold and ‘scan’ full-length proteins through a nanopore,” they wrote in a summary of this paper. Read “Unidirectional single-file transport of full-length proteins through a nanopore” and see the full list of authors Nature Biotechnology.
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Zheng receives Early Career Researcher Award from ASTFE
“Associate Professor Yi Zheng was awarded the inaugural American Society of Thermal and Fluids Engineers (ASTFE) Early Career Researcher Award for his significant contributions to the field of Thermal and Fluids Engineering.”
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Untangling single-cell proteins with the Slavov Laboratory
“Inside Precision Medicine published an article entitled ‘Untangling the Complexities of Single Cell Protein Analysis’ that highlights the latest research from the team of Allen Distinguished Investigator and associate professor of bioengineering Nikolai Slavov. Read the article and more about the research team at Inside Precision Medicine.
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‘DCVNet: Dilated Cost Volume Networks for Fast Optical Flow’
“The cost volume, capturing the similarity of possible correspondences across two input images, is a key ingredient in state-of-the-art optical flow approaches. When sampling correspondences to build the cost volume, a large neighborhood radius is required to deal with large displacements, introducing a significant computational burden. To address this, coarse-to-fine or recurrent processing of the cost volume is usually adopted. … In this paper, we propose an alternative by constructing cost volumes with different dilation factors to capture small and large displacements simultaneously.” Read the paper and see the full list of authors in IEEE Xplore.
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Facial recognition by any memes necessary
“As part of ‘JUSTICE,’ an exhibit opening at the Science Gallery Atlanta at Emory University in January 2023,” writes the College of Arts, Media and Design, “professors Derek Curry and Jennifer Gradecki have created the faux surveillance company Boogaloo Bias, a facial recognition tool aimed at finding suspected members of the Boogaloo Bois, an anti-law enforcement militia that emerged from 4chan meme culture and has been present at protests since January 2020. … This interactive artwork and research project highlights some of the known problems with law enforcement agencies’ use of facial recognition technologies.”
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‘In Search of the Miraculous’ in New York art exhibition
Yulia Pinkusevich, professor of studio art at Mills College, was part of a group exhibition that ran between January and March, 2023. The exhibition was titled “In Search of the Miraculous,” and was held at the Marlborough Gallery, in New York City.
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Top 10 in Annals of Internal Medicine: Miller featured with two papers
Matthew Miller, professor of health sciences and epidemiology, was featured in the Annals of Internal Medicine’s “Best of 2022” list with two articles on firearms research, “Homicide Deaths Among Adult Cohabitants of Handgun Owners in California, 2004 to 2016” and the “Firearm Purchasing During the COVID-19 Pandemic: Results From the 2021 National Firearms Survey.” Find his papers with their full list of authors, and the full best-of list, at Annals of Internal Medicine.
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Detwiler recognized among Food Safety Set: ‘The people who have shaped’ food safety
Professor Darin Detwiler, who also serves as Assistant Dean of Academic and Faculty Affairs for the College of Professional Studies, was recently recognized in Quality Assurance Magazine as a member of The Food Safety Set, one of twenty-one individuals who have had a pronounced impact on the development of food safety practices in the past 30 years, since the 1992 Jack in the Box E. coli outbreak. Detwiler was featured on the cover of the January-February 2023 issue, among other notables. Find the full Food Safety Set at Quality Assurance Magazine.
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‘The Rise of Emerging Market Lead Firms in Global Value Chains’
“Extending the resource-based view that location characteristics influence firms’ resources and internationalization, we argue that the global value chains (GVCs) of lead firms from emerging and advanced economies differ in three dimensions: objectives, trajectory, and governance.” Read the paper and see the full list of authors in the Journal of Business Research.
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‘Generating Unified Platforms Using Multigranularity Domain DSE (MG-DmDSE) Exploiting Application Similarities’
“Heterogeneous accelerator-rich (ACC-rich) platforms combining general-purpose cores and specialized HW accelerators (ACCs) promise high-performance and low-power streaming application deployments in a variety of domains, such as video analytics and software-defined radio. … A domain platform exploration tool must take advantage of structural and functional similarities across applications by allocating a common set of ACCs. … This article introduces a multigranularity-based domain design space exploration tool (MG-DmDSE) to improve both average application throughput as well as platform generality.” Find the paper and the full list of authors in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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‘Modeling and Simulation… for an Analog Computing Design Approach With Application to EEG Feature Extraction’
“This article presents a design approach for the modeling and simulation of ultralow power (ULP) analog computing machine learning (ML) circuits for seizure detection using electroencephalography (EEG) signals in wearable health monitoring applications. In this article, we describe a new analog system modeling and simulation technique to associate power consumption, noise, linearity and other critical performance parameters of analog circuits with the classification accuracy of a given ML network.” Find the paper and the full list of authors in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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‘Restructuring of Emergent Grain Boundaries at Free Surfaces—An Interplay Between Core Stabilization and Elastic Stress Generation’
“Emergent grain boundaries at free surface impact a wide range of material properties but little is known about their atomic-scale behavior. Using scanning tunneling microscopy and calculations, we studied the structure of emergent grain boundaries at the surfaces of planar nanocrystalline copper (111) films and bicrystals. We show that for a wide range of misorientation angles there exists a strong energetic preference for boundary cores to lie along close-packed planes that leads to the restructuring of emergent grain boundaries at free surfaces.” Read the paper and see the full list of authors in Acta Materiala.
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Global work and enterprises in the wake of COVID-19
The authors examine “the future of global work … [for] multinational enterprises” in the wake of “a great ‘reset'” caused by the COVID-19 pandemic. The authors apply “a phenomenon-based approach” to cover “the most critical macrotrends shaping the future of global work, their implications for [international human resource management], and global work in the context of MNEs. Specifically, [they] address how these trends have affected the where, how, who, and why of global work.” Read “Global work in a rapidly changing world: Implications for MNEs and individuals” and see the full list of authors in the Journal of World Business.
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Using coding languages to teach vibrational mechanics
“Vibrational Mechanics by Maple Practical Applications” promises “to assist undergraduate and postgraduate students majoring in physics, mechanical engineering, electromechanical and aerospace engineering in acquiring a more thorough knowledge of vibrational mechanics using the Maple programming language.” Read more about the book and see the full list of authors, including Northeastern University affiliated research professor of physics Mohammad Khoshnevisan, at the publisher’s website.
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‘Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations’
“The prevalence of inadequate SARS-COV-2 (COVID-19) responses may indicate a lack of trust in forecasts and risk communication. However, no work has empirically tested how multiple forecast visualization choices impact trust and task-based performance. The three studies presented in this paper ( N=1299 ) examine how visualization choices impact trust in COVID-19 mortality forecasts and how they influence performance in a trend prediction task.” Read “Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations” and see the full list of authors in IEEE Transactions on Visualization and Computer Graphics.
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‘Image-Text Embedding Learning via Visual and Textual Semantic Reasoning’
“As a bridge between language and vision domains, cross-modal retrieval between images and texts is a hot research topic in recent years. It remains challenging because the current image representations usually lack semantic concepts in the corresponding sentence captions. To address this issue, we introduce an intuitive and interpretable model to learn a common embedding space for alignments between images and text descriptions.” Read the paper and see the full list of authors IEEE Transactions on Pattern Analysis and Machine Intelligence.
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‘Data Lake Organization’
“We consider the problem of building an organizational directory of data lakes to support effective user navigation. The organization directory is defined as an acyclic graph that contains nodes representing sets of attributes and edges indicating subset relationships between nodes. A probabilistic model is constructed to model user navigational behaviour. The model also predicts the likelihood of users finding relevant tables in a data lake given an organization.” Read the paper and see the full list of authors in IEEE Transactions on Knowledge and Data Engineering.
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‘Not Your Average App: A Large-Scale Privacy Analysis of Android Browsers’
“Mobile browsers may present contradicting privacy behaviors. On the one end, they can have access to (and can expose) a unique combination of sensitive user data. … However, on the other end, they also are in a unique position to protect users’ privacy by limiting data sharing with other parties by implementing ad-blocking features. In this paper, we perform a comparative and empirical analysis on how hundreds of Android web browsers protect or expose user data during browsing sessions.” Read the paper and see the full list of authors in the Proceedings on Privacy Enhancing Technologies Symposium.
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‘GenoREC: A Recommendation System for Interactive Genomics Data Visualization’
“Interpretation of genomics data is critically reliant on the application of a wide range of visualization tools. A large number of visualization techniques for genomics data and different analysis tasks pose a significant challenge. … Since genomics analysts typically have limited training in data visualization, their choices are often based on trial and error or guided by technical details. … To address these challenges, we designed GenoREC, a novel visualization recommendation system for genomics. GenoREC enables genomics analysts to select effective visualizations.” Read the paper and see the full list of authors in IEEE Transactions on Visualization and Computer Graphics.
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‘Photosensitive Accessibility for Interactive Data Visualizations’
“We systematically gathered and tested 1,132 interactive and animated visualizations for seizure-inducing risk using established methods and found that currently available methods for determining photosensitive risk are not reliable when evaluating interactive visualizations, as risk scores varied significantly based on the individual interacting with the visualization. To address this issue, we introduce a theoretical model defining the degree of control visualization designers have over three determinants of photosensitive risk in potentially seizure-inducing sequences: the size, frequency, and color of flashing content.” Read the paper and see the full list of authors in IEEE Transactions on Visualization and Computer Graphics.
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‘Learning How To Listen: Automatically Finding Bug Patterns in Event-Driven JavaScript APIs’
“Event-driven programming is widely practiced in the JavaScript community. … Concentrating on the problem of detecting dead listeners, we present an approach to learn how to use event-based APIs by first mining a large corpus of JavaScript code using a simple static analysis to identify code snippets that register an event listener, and then applying statistical modeling to identify anomalous patterns, which often indicate incorrect API usage.” Read the paper and see the full list of authors in IEEE Transactions on Software Engineering.
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MRI studies of ‘nonword repetition’ provides insight into brain function of autistic children
Researchers have “used functional magnetic resonance imaging (fMRI) to investigate the brain bases for nonword repetition challenges in autism.” Nonword repetition, or the ability to repeat sounds not associated with a meaning-laden word, is “a common clinical measure of phonological working memory.” Also employing “Multivoxel pattern analysis within the speech production network,” researchers found that their “findings suggest that atypical function in speech production brain regions may contribute to nonword repetition difficulties in autism.” Find “Altered engagement of the speech motor network is associated with reduced phonological working memory in autism” and the full list of authors in NeuroImage: Clinical.