Title
Topic
-
Biodegradable nanogenerators lead to less electronic waste
In “Aligned PLLA electrospun fibres based biodegradable triboelectric nanogenerator,” the authors present a new construction method for potential components in energy harvesters. These energy harvesters—like solar cells—”are not always developed using sustainable materials.” Creating components that are biodegradable could make these devices more environmentally friendly. “The presented approach,” the authors argue, “can provide attractive green energy harvesting machine to power portable devices at a large scale—without having to worry about the end-of-life electronic waste management.” Read “Aligned PLLA electrospun fibres based biodegradable triboelectric nanogenerator” and see the full list of authors below.
-
New marine sciences paper, “Changes in water flow alter community dynamics in oyster reefs”
Professor of marine and environmental sciences Jonathan Grabowski, working with professor Sean Powers from the University of South Alabama, has published a new paper in Ecosphere. From their abstract: Fluid (air or water) movements are key determinants of living systems from cellular to community levels of organization. Water flow can influence individual fitness and local population dynamics, but less is known about the collective response of natural communities to alteration in water flow because parameter responses to flow may be additive, juxtaposed, or interactive. To examine how changes in water flow affected initial larval settlement patterns of epifaunal and infaunal…
-
Fayyad answers “Why Most Machine Learning Applications Fail To Deploy” in Forbes
Despite the recent excitement around artificial intelligence endeavors, especially chatbots like ChatGPT, professor of practice and the executive director of the Institute for Experiential AI at the Roux Institute Usama Fayyad points out how, in enterprise environments, machine learning projects often fail to get off the ground. In evaluating how businesses can more successfully deploy those projects, Fayyad points to several options, including estimating the return on investment, building trust, and more. Read “Why Most Machine Learning Applications Fail To Deploy” at Forbes below.
-
New electrochemistry paper, “High Purity Hydrogen Separation with HT-PBI Based Electrochemical Pump Operation at 120 °C”
Read “High Purity Hydrogen Separation with HT-PBI Based Electrochemical Pump Operation at 120 °C” and see the full list of authors below.
-
Isolating plastics to analyze pollutants
Professor of marine and environmental sciences Aron Stubbins, working with graduate teaching assistant Erin Tuttle, has published a new paper in Environmental Pollution describing “An acidic/oxidative digestion that quantitatively removes cellulose acetate.” This process “preserve[s] plastics while digesting synthetic cellulose acetate and a range of organics encountered in environmental samples,” thus isolating the plastics for further study. Read “An optimized acidic digestion for the isolation of microplastics from biota-rich samples and cellulose acetate matrices” below.
-
New computer science paper, “Lattice Network for Lightweight Image Restoration”
Read “Lattice Network for Lightweight Image Restoration” and see the full list of authors at the link below.
-
New chemical biology paper, “Going beyond Binary: Rapid Identification of Protein–Protein Interaction Modulators Using a Multifragment Kinetic Target-Guided Synthesis Approach”
Read “Going beyond Binary: Rapid Identification of Protein–Protein Interaction Modulators Using a Multifragment Kinetic Target-Guided Synthesis Approach” and see the full list of authors below.
-
Breakthrough in early osteoarthritis diagnoses
Read “Cationic Carrier Mediated Delivery of Anionic Contrast Agents in Low Doses Enable Enhanced Computed Tomography Imaging of Cartilage for Early Osteoarthritis Diagnosis” and see the full list of authors below.
-
Magowan publishes new short story in Juked
Kim Magowan, adjunct professor of English and Aurelia H. Reinhardt professor of American literature at Mills College at Northeastern University, has published “Litter Box” in Juked. “Litter Box” tells the story of one woman’s spur-of-the-moment trip to London and her confusion around how life has brought her there. Read the short story below.
-
New chemical biology paper, “Highly-sensitive label-free deep profiling of N-glycans released from biomedically-relevant samples”
Read “Highly-sensitive label-free deep profiling of N-glycans released from biomedically-relevant samples” and see the full list of authors below.
-
Using deep neural networks to model complex wave spectra
Researchers have “Developed data-driven models to estimate wave parameters and spectra near the” Chesapeake Bay Bridge Tunnel. “To estimate wave parameters and energy spectra near the CBBT, novel composite data-driven models were developed using the wind, water level, and offshore wave data” were used in “deep neural networks” to model a complex wave environment with relatively low computational resources. Read “Data-driven modeling of Bay-Ocean wave spectra at bridge-tunnel crossing of Chesapeake Bay, USA” and see the full list of authors below.
-
New patent around classifications of wireless signals
From the College of Engineering: Electrical and computer engineering research assistant professor Salvatore D’Oro, William Lincoln Smith Professor Tommaso Melodia, and assistant professor Francesco Restuccia were awarded a patent for “Device and method for reliable classification of wireless signals.” Read more about the patent at the College of Engineering below.
-
New patent for “Real-time cognitive wireless networking”
From the College of Engineering: Electrical and computer engineering assistant professor Francesco Restuccia and William L. Smith Professor Tommaso Melodia were awarded a patent for “Real-time cognitive wireless networking through deep learning in transmission and reception communication paths.” Read more about their patent below.
-
New bioengineering paper, “Nonspherical ultrasound microbubbles”
From the College of Engineering: Bioengineering assistant professor Tao Sun recently published his postdoctoral research from the John A. Paulson School of Engineering and Applied Sciences and Brigham and Women’s Hospital on “Nonspherical ultrasound microbubbles,” in PNAS. Read more about Sun’s research below.
-
New computer science paper, “Erasing Concepts from Diffusion Models”
Read “Erasing Concepts from Diffusion Models” and see the full list of authors below.
-
Materials science paper featured on cover of Advanced Engineering Materials
Associate professor of mechanical and industrial engineering Yaning Li and co-author Siyao Liu have published a new paper titled “Mechanical Properties of Cochiral and Contrachiral Mechanical Metamaterials Under Different Temperatures.” The paper was featured on the cover of the March 2023 issue of Advanced Engineering Materials. Read “Mechanical Properties of Cochiral and Contrachiral Mechanical Metamaterials Under Different Temperatures” below.
-
A bellwether of embeddedness: one professor says that “the AI system… keeping me alive is ruining my life”
In an article with Data & Society: Points, professor Laura Forlano writes how an AI system in her insulin pump system, which promised to “dynamically adjust blood sugar when compared to the previous linear system,” has actually required such frequent human-computer interactions as to make it medically detrimental. “Human labor,” Forlano writes of her frequent interactions with the device, “is a necessary component that is often pushed out of view or, in my case, into the middle of the night.” “Rather than dismiss this particular system as bad engineering,” she argues, “unlucky consumer choice or unethical technology, it’s more useful…
-
New genetics paper, “The paradox of adaptive trait clines with nonclinal patterns in the underlying genes”
Read “The paradox of adaptive trait clines with nonclinal patterns in the underlying genes” and see the full list of authors below.
-
Forlano’s research included in robotic sculpture
Laura Forlano, professor of art and design and communication studies, has had her work featured in a “robotic sculpture” designed by multimedia artist Itziar Barrio. “Some of the sculptures are programmed and inscribed with text that Forlano, a Type 1 diabetic, transcribed from the alert and alarm history from her ‘smart’ insulin pump and then annotated with field notes,” writes Smack Mellon, Barrio’s exhibition space in Brooklyn, New York. The exhibition’s title, “did not feel low, was sleeping,” is sourced from one of the sculptures in Barrio’s collaboration with Forlano. Read more about Barrio and Forlano’s collaboration below. The exhibition…
-
New computer science paper, “Automated Grading of Automata with ACL2s”
Read “Automated Grading of Automata with ACL2s” and see the full list of authors below.
-
New biomedical paper, “Role of circular RNA and its delivery strategies to cancer – An overview”
Read “Role of circular RNA and its delivery strategies to cancer – An overview” and see the full list of authors below.
-
New computer science paper, “A General Theory of Correct, Incorrect, and Extrinsic Equivariance”
Read “A General Theory of Correct, Incorrect, and Extrinsic Equivariance” and see the full list of authors below.
-
Chemistry paper, ‘Autonomous Electrochemical System for Ammonia Oxidation Reaction Measurements at the International Space Station’
From the abstract: “An autonomous electrochemical system prototype for ammonia oxidation reaction (AOR) measurements was efficiently done inside a 4” x 4” x 8” 2U Nanoracks module at the International Space Station (ISS). This device, the Ammonia Electrooxidation Lab at the ISS (AELISS), included an autonomous electrochemical system that complied with NASA ISS nondisclosure agreements, power, safety, security, size constrain, and material compatibility established for space missions.” Read the paper and see the full list of authors here.
-
Shrivastava receives patent for self-powered computing architecture
From the College of Engineering: Electrical and computer engineering assistant professor Aatmesh Shrivastava was awarded a patent for “Self-powered analog computing architecture with energy monitoring to enable machine-learning vision at the edge.” Read more about the patent below.