Title
Topic
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Patent for network slicing policies
“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’
“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’
“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’
“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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‘Milk Exosomes Anchored With Hydrophilic and Zwitterionic Motifs Enhance Mucus Permeability for Applications in Oral Gene Delivery’
“Exosomes have emerged as a promising tool for the delivery of drugs and genetic materials, owing to their biocompatibility and non-immunogenic nature. However, challenges persist in achieving successful oral delivery due to their susceptibility to degradation in the harsh gastrointestinal (GI) environment and impeded transport across the mucus-epithelium barrier. To overcome these challenges, we have developed high-purity bovine milk exosomes (mExo) as a scalable and efficient oral drug delivery system, which can be customized by incorporating hydrophilic and zwitterionic motifs on their surface.” Find the paper and full list of authors at Biomaterials Science.
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‘Persistent Anisotropy of the Spin Cycloid in BiFeO3 Through Ferroelectric Switching’
“A key challenge in antiferromagnetic spintronics is the control of spin configuration on nanometer scales applicable to solid-state technologies. 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. … This study provides understanding of the antiferromagnetic texture in BiFeO3 and paves new avenues for designing magnetic textures and spintronic devices.” Find the paper and full list of authors at ArXiv.
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Dai receives patent for ‘Biodegradable Elastic Hydrogels for Bioprinting’
From the patent’s abstract: “Disclosed herein are hydrogel compositions comprising a triblock copolymer having a formula A-B-A, wherein A is a polycaprolactone (PCL) block or a polyvalerolactone (PVL) block and B is a polyethylene glycol (PEG) block. Also disclosed are methods of making a hydrogel comprising providing a photoinitiator and a triblock copolymer having a formula A-B-A, wherein the triblock copolymer comprises one or more ethylenically unsaturated moieties; and photocrosslinking the triblock copolymer, thereby forming a hydrogel.”
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‘Genome-Wide Association Identifies a BAHD Acyltransferase Activity that Assembles an Ester of Glucuronosylglycerol and Phenylacetic Acid’
“Genome-wide association studies (GWAS) are an effective approach to identify new specialized metabolites and the genes involved in their biosynthesis and regulation. In this study, GWAS of Arabidopsis thaliana soluble leaf and stem metabolites identified alleles of an uncharacterized BAHD-family acyltransferase (AT5G57840) associated with natural variation in three structurally related metabolites. … Together, this work extends our understanding of the catalytic diversity of BAHD acyltransferases and uncovers a pathway that involves contributions from both phenylalanine and lipid metabolism.” Find the paper and full list of authors at the National Library of Medicine.
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‘Developing and Sustaining Northeastern’s Ed.D. Program During and Post Pandemic’
“Northeastern University’s Ed.D. faculty faced unique challenges during the pandemic and racial reckoning following George Floyd’s murder. During this period, however, we found opportunities to adapt and improve our program. We prioritized compassion and connection. We made significant strides in curriculum development through design and implementation of three new concentrations. We focused all program elements on how social justice works in a variety of educational settings. We altered our approach to data collection and doctoral supervision. In so doing, we were able to maintain consistency for our students and develop a closer bond with our faculty colleagues.”
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‘Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19’
“In the COVID-19 pandemic, digital technologies (DT) supported the design and implementation of solutions addressing new needs and living conditions. We describe Design for Emergency, a digital open design platform developed to ideate solutions for people’s fast-changing needs in the pandemic, to analyze how DT can affect human-centered design processes during emergencies. We illustrate how DT: i) helped quickly collect and analyse people’s needs…; ii) facilitated the creation of a virtual network of stakeholders and an open-innovation digital platform; iii) inspired the ideation of solutions.” Find the paper and full list of authors at Interacting With Computers.
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‘Monodromy of the Casimir Connection of a Symmetrisable Kac–Moody Algebra’
“Let g be a symmetrisable Kac–Moody algebra and V an integrable g–module in category O. We show that the monodromy of the (normally ordered) rational Casimir connection on V can be made equivariant with respect to the Weyl group W of g, and therefore defines an action of the braid group Bw on V. … This action is canonically equivalent to the quantum Weyl group action of Bw on a quantum deformation of V, that is an integrable, category O module V over the quantum group Uhg such that V/hV is isomorphic to V.” Find authors at Inventiones Mathematicae.
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‘Black-Box Access is Insufficient for Rigorous AI Audits’
“External audits of AI systems are increasingly recognized as a key mechanism for AI governance. The effectiveness of an audit, however, depends on the degree of system access granted to auditors. Recent audits of state-of-the-art AI systems have primarily relied on black-box access, in which auditors can only query the system and observe its outputs. However, white-box access to the system’s inner workings … allows an auditor to perform stronger attacks. … In this paper, we examine the limitations of black-box audits and the advantages of white- and outside-the-box audits.” Find the paper and full list of authors at ArXiv.
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‘Deploying and Evaluating LLMs to Program Service Mobile Robots’
“Recent advancements in large language models (LLMs) have spurred interest in using them for generating robot programs from natural language, with promising initial results. We investigate the use of LLMs to generate programs for service mobile robots leveraging mobility, perception and human interaction skills, and where accurate sequencing and ordering of actions is crucial for success. We contribute CodeBotler, an open-source robot-agnostic tool to program service mobile robots from natural language, and RoboEval , a benchmark for evaluating LLMs’ capabilities of generating programs to complete service robot tasks.” Find the paper and list of authors at IEEE Robotics and Automation…
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‘How Beginning Programmers and Code LLMs (Mis)read Each Other’
“Generative AI models, specifically large language models (LLMs), have made strides towards the long-standing goal of text-to-code generation. This progress has invited numerous studies of user interaction. However, less is known about the struggles and strategies of non-experts, for whom each step of the text-to-code problem presents challenges: describing their intent in natural language, evaluating the correctness of generated code, and editing prompts when the generated code is incorrect. This paper presents a large-scale controlled study of how 120 beginning coders across three academic institutions approach writing and editing prompts.” Find the paper and full list of authors at ArXiv.
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‘Early life adversity accelerates hypothalamic drive of pubertal timing in female rats with associated enhanced acoustic startle’
“Early life adversity in the form of childhood maltreatment in humans or as modeled by maternal separation (MS) in rodents is often associated with an earlier emergence of puberty in females. Earlier pubertal initiation is an example of accelerated biological aging and predicts later risk for anxiety in women, especially in populations exposed to early life trauma. … These findings indicate precocial maturation of central pubertal timing mechanisms after MS, as well as a potential role of CRH-R1 in these effects and an association with a translational measure of anxiety.” Find the paper and list of authors at Hormones and…
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‘Top-Down Control Over Dissolved Organic Carbon in the Bottom Water of the Weddell Sea and its Implication for the Continental Shelf Pump’
“Dense water out of the Antarctic shelves is expected to drive the transport of carbon into the deep Southern Ocean via the formation of Antarctic Bottom Water. However, bottom water formation’s capacity to sequester carbon into the deep ocean is poorly constrained. Here, dissolved organic carbon (DOC), dissolved black carbon and particulate organic carbon were examined to reveal the influence of the Weddell Sea Deep Water on DOC transport. … This study highlights the key role of the Antarctic continental shelf pump in carbon sequestration.” Find the paper and authors list at Progress in Oceanography.
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‘Local and Regional Geographic Variation in Inducible Defenses’
“Invasive predators can cause substantial evolutionary change in native prey populations. … Our ability to understand how local variation shapes patterns of inducible defense expression has thus far been limited by insufficient replication of populations within regions. Here, we examined local and regional variation in the inducible defenses of 12 native marine snail (Littorina obtusata) populations within two geographic regions in the Gulf of Maine that are characterized by vastly different contact histories with the invasive predatory green crab (Carcinus maenas).” Find the paper and full list of authors in Ecology.
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‘ICML 2023 Topological Deep Learning Challenge: Design and Results’
“This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competition asked participants to provide open-source implementations of topological neural networks from the literature by contributing to the python packages TopoNetX (data processing) and TopoModelX (deep learning). The challenge attracted twenty-eight qualifying submissions in its two month duration. This paper describes the design of the challenge and summarizes its main findings.” Find the paper and full list of authors at Proceedings of Machine Learning Research.
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‘Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture’
“Real-world domain experts (e.g., doctors) rarely annotate only a decision label in their day-to-day workflow without providing explanations. Yet, existing low-resource learning techniques, such as Active Learning (AL), that aim to support human annotators mostly focus on the label while neglecting the natural language explanation of a data point. This work proposes a novel AL architecture to support experts’ real-world need for label and explanation annotations in low-resource scenarios.” Find the paper and full list of authors in the Findings of the Association for Computational Linguistics.