Title
Topic
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‘Dragonfly Algorithm Application for Solving the Nurse Scheduling Problem’
“Scheduling plays a crucial role in allocating re-sources to tasks in various domains, including healthcare. Nurse scheduling, in particular, presents significant challenges due to the limited number of nurses. This paper illustrates how a novel meta-heuristic model known as Dragonfly Algorithm (DA) is used to efficiently solve the nurse scheduling problem faced by a major hospital in Belgium. The DA, inspired by the swarming behaviours of dragonflies, offers a new approach to solving this problem.” Find the paper and full list of authors in the proceedings of the International Conference on Computing, Networking and Communications.
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‘Cloud Load Balancing Algorithms Performance Evaluation Using a Unified Testing Platform’
“Due to its improved response time, availability, and efficiency, load balancing emerged as an essential framework for designing high-performance distributed computing systems. This paper introduces a unified testing platform that objectively compares load balancing algorithms and measures their performance. It employs various request patterns and load types to simulate real-world conditions. We evaluate a selection of static and dynamic algorithms on throughput, response time, and failure rate metrics. The results show that most, but not all, dynamic algorithms perform better than static ones.” Find the paper and list of authors in the International Conference on Computing, Networking and Communications proceedings.
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‘Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets’
“One of the potential solutions for model interpretation is to train a surrogate model: a more transparent model that approximates the behavior of the model to be explained. Typically, classification rules or decision trees are used due to their logic-based expressions. However, decision trees can grow too deep, and rule sets can become too large to approximate a complex model. … In this paper, we focus on tabular data and present novel algorithmic and interactive solutions to address these issues.” Find the paper and full list of authors in IEEE Transactions on Visualization and Computer Graphics
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‘RePresent: Enabling Access to Justice for Pro Se Litigants via Co-Authored Serious Games’
“Increasing numbers of people represent themselves in legal disputes—known as pro se litigants. Many lack the skills, experience, or knowledge to navigate legal proceedings without a lawyer. … Serious games may provide an effective, interactive, and engaging way of educating pro se litigants about the law and enabling their access to justice. Through participatory design with legal experts and an authoring tool, we co-designed RePresent, a serious game that helps individuals with limited access to legal support prepare for pro se litigation.” Find the paper and list of authors in the 2024 ACM Designing Interactive Systems Conference proceedings.
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‘Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning CodeLLMs’
“Open-weight LLMs are particularly appealing choices to generate training data for fine-tuning Code LLMs on domain-specific service robot applications because they are cost-effective, customizable, and offer better privacy protection. However, unlike proprietary LLMs, open-weight models are more error-prone and often produce programs that violate domain-specific constraints. … In this work, we introduce ROBO-INSTRUCT that preserves the diversity of programs generated by an LLM while providing the correctness of simulator-based checking.” Find the paper and full list of authors at ArXiv.
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‘StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code’
“Code LLMs have the potential to make it easier for non-experts to understand and write code. However, current CodeLLM benchmarks rely on a single expert-written prompt per problem, making it hard to generalize their success to non-expert users. In this paper, we present a new natural-language-to-code benchmark of prompts written by a key population of non-experts: beginning programmers. … We use StudentEval to evaluate 12 Code LLMs and find that StudentEval is a better discriminator of model performance than existing benchmarks.” Find the paper and full list of authors in ACL Anthology.
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‘E(2)-Equivariant Graph Planning for Navigation’
“Learning for robot navigation presents a critical and challenging task. The scarcity and costliness of real-world datasets necessitate efficient learning approaches. In this letter, we exploit Euclidean symmetry in planning for 2D navigation, which originates from Euclidean transformations between reference frames and enables parameter sharing. To address the challenges of unstructured environments, we formulate the navigation problem as planning on a geometric graph and develop an equivariant message passing network to perform value iteration.” Find the paper and full list of authors in IEEE Robotics and Automation Letters.
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‘Privacy Norms of Transformative Fandom: A Case Study of an Activity-Defined Community’
“Transformative media fandom is a remarkably coherent, long-lived, and diverse community united primarily by shared engagement in the varied activities of fandom. Its social norms are highly-developed and frequently debated, and have been studied by the CSCW and Media Studies communities in the past, but rarely using the tools and theories of privacy, despite fannish norms often bearing strongly on privacy. We use privacy scholarship and existing theories thereof to examine these norms and bring an additional perspective to understanding fandom communities.” Find the paper and full list of authors in the Proceedings of the ACM on Human-Computer Interaction.
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‘Seamlessly Insecure: Uncovering Outsider Access Risks in AiDot-Controlled Matter Devices’
“Matter is the recently proclaimed standard for seamless interoperability among connected Internet of Things (IoT) devices, seeking to unify the fragmented IoT landscape. In this paper, we analyze a range of Matter-enabled devices, uncovering a critical security flaw within the manufacturer’s implementation of the device commissioning process. This flaw allows the adversary to exploit an unenrolled manufacturer channel on an operational Matter device to enable unauthorized access, without notifying the user or compromising the existing Matter connection.” Find the paper and full list of authors in the IEEE Symposium on Security and Privacy Workshops.
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‘Envisioning New Futures of Positive Social Technology: Beyond Paradigms of Fixing, Protecting and Preventing’
“Social technology research today largely focuses on mitigating the negative impacts of technology and, therefore, often misses the potential of technology to enhance human connections and well-being. However, we see a potential to shift towards a holistic view of social technology’s impact on human flourishing. We introduce Positive Social Technology (Positech), a framework that shifts emphasis toward leveraging social technologies to support and augment human flourishing.” Find the paper and full list of authors in ArXiv.
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‘GenAudit: Fixing Factual Errors in Language Model Outputs With Evidence’
“LLMs can generate factually incorrect statements even when provided access to reference documents. Such errors can be dangerous in high-stakes applications (e.g., document-grounded QA for healthcare or finance). We present GenAudit — a tool intended to assist fact-checking LLM responses for document-grounded tasks. GenAudit suggests edits to the LLM response by revising or removing claims that are not supported by the reference document, and also presents evidence from the reference for facts that do appear to have support.” Find the paper and full list of authors in ArXiv.
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‘Unveiling AI-Driven Collective Action for a Worker-Centric Future’
“Collective action by gig knowledge workers is a potent method for enhancing labor conditions on platforms like Upwork, Amazon Mechanical Turk, and Toloka. However, this type of collective action is still rare today. Existing systems for supporting collective action are inadequate for workers to identify and understand their different workplace problems, plan effective solutions, and put the solutions into action. This talk will discuss how with my research lab we are creating worker-centric AI enhanced technologies that enable collective action among gig knowledge workers.”
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‘Quantum Geometry and Nonlinear Optical Responses in Rhombohedral Trilayer Graphene’
“We theoretically study the nonlinear optical response of ABC trilayer graphene with inversion symmetry broken by the application of a displacement field perpendicular to the trilayer. We show that rhombohedral trilayer graphene exhibits a large bulk photovoltaic effect arising from a DC shift-current response. … We focus on a regime of displacement field where certain band gaps close and reopen away from the charge neutrality point, leading to drastic changes in the quantum geometric structure in momentum space, a feature characteristic of the trilayer graphene band structure.” Find the paper and full list of authors in Physical Review B.
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‘Simplified Internal Models in Human Control of Complex Objects’
“Humans are skillful at manipulating objects that possess nonlinear underactuated dynamics, such as clothes or containers filled with liquids. Several studies suggested that humans implement a predictive model-based strategy to control such objects. However, these studies only considered unconstrained reaching without any object involved or. … This study examined a task where participants physically interacted with a nonlinear underactuated system mimicking a cup of sloshing coffee: a cup with a ball rolling inside. … These findings provide evidence that humans use simplified internal models along with mechanical impedance to manipulate complex objects.”Find the paper and list of authors in PLOS Computational…
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‘Is Technology Uniquely Placed to Solve Our Problems? An Examination Into Technosolutionism, What It Entails and What It Predicts’
“Technology plays an important role in business and society. This has resulted in the belief that technology is in a unique position to solve organizational and societal problems. However, technology is not regarded as equally impactful by all. To explore these differences, we designed a technosolutionism scale to measure the extent to which individuals deem technological solutions to be better-suited to address organizational and societal problems.” Find the paper and full list of authors in Sage Business & Society.
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‘Axolotl Retina Regeneration Following NMDA Injury’
“While axolotls (Ambystoma mexicanum) are studied for their remarkable ability to regenerate, there is a lack in understanding on their ability to regenerate their retina and the source of the progenitors responsible. It is also not known if the regeneration process is damage specific and if all retinal cell classes and types can regenerate. … This study serves to investigate the regenerative potential of the axolotl retina following chemical injury. We … discovered that axolotls contain all the major cell types of the vertebrate retina.”Find the paper and full list of authors in Investigative Ophthalmology and Visual Science.
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‘The Corporate Governance of Business Groups Around the World: A Review and Agenda for Future Research’
“Scholarly interest in business groups (BGs) has grown considerably over the years, as they emerged as important players in the global economy. Yet, there exist ample differences in the corporate governance, strategies, and performance of BG-affiliated firms. … Our review of 301 articles published in highly ranked journals between 1986 and 2023 establishes a mechanism-based framework to explain the effect of BG affiliation, ownership structure and corporate governance practices on firm performance. We also reveal that many relationships between these factors vary cross-nationally and over time.”Find the paper and full list of authors in Corporate Governance.
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‘Effective Nose-to-Brain Delivery of Blood-Brain Barrier Impermeant Anti-IL-1β Antibody via… MIND Technique’
“Treatment of neuroinflammation and neurodegenerative diseases using biologic therapies is limited due to the blood-brain barrier (BBB). This study explores a clinically validated approach to bypass the BBB for the purposes of direct central nervous system (CNS) delivery of antibodies using the Minimally Invasive Nasal Depot (MIND) technique. … The results demonstrated that MIND delivery resulted in a significant reduction in IL-1β levels and microglial activation in relevant brain regions, notably outperforming conventional intravenous (IV) administration.” Find the paper and full list of authors in ACS Applied Materials & Interfaces.
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‘Murine model of minimally invasive nasal depot (MIND) technique for central nervous system delivery of … therapeutics’
“The blood–brain barrier (BBB) poses a substantial obstacle to the successful delivery of therapeutics to the central nervous system (CNS). The transnasal route has been extensively explored, but success rates have been modest. … Here, to address these issues, we have developed a surgical technique known as the minimally invasive nasal depot (MIND). … The MIND procedure represents a unique platform that can be used to overcome the limitations posed by the BBB. This technique can potentially expand the therapeutic toolkit in the treatment of neurological diseases.” Find the paper and full list of authors in Lab Animal.
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‘Advancing Delirium Treatment Trials in Older Adults: Recommendations for Future Trials’
“To provide background and context, a review of delirium treatment randomized controlled trials (RCTs) published between 2003 and 2023 was conducted and evidence gaps were identified. The four panels addressed the identified subtopics. For each subtopic, research challenges were identified and recommendations to address each were proposed. … We identified key evidence gaps through a systematic literature review, yielding 43 RCTs of delirium treatments. From this review, eight unique challenges for delirium treatment trials were identified, and recommendations to address each were made based on panel input.”Find the paper and full list of authors in Critical Care Medicine.
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‘Weak Lensing Mass Distributions, Red-sequence Galaxy Distributions, and Their Alignment with the Brightest Cluster Galaxy’
“The Local Volume Complete Cluster Survey is an ongoing program to observe nearly a hundred low-redshift X-ray-luminous galaxy clusters … with the Dark Energy Camera, capturing data in [multiple] bands with a 5σ point source depth of approximately 25th–26th AB magnitudes. Here, we map the aperture masses in 58 galaxy cluster fields using weak gravitational lensing. … We find that the orientations of the BCG and the RS distribution are strongly aligned throughout the [cluster] interiors. … These types of alignment suggest long-term dynamical evolution within the clusters over cosmic timescales.” Find the paper and full list of authors in The…
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‘Interplay of Nano-Based Delivery Systems and Protein Signalling in Ameliorating Lung Diseases’
“This review explores the intricate interplay between the nano-based drug delivery and protein signalling pathways involved in the pathogenesis and management of lung diseases. The key advancements and challenges in the field are discussed, highlighting the potential of nanomedicine to redefine the landscape for the management of lung diseases. This will ultimately provide new opportunities for pulmonary clinics and reduce the massive burden that is faced across the globe due to various lung diseases.” Find the paper and full list of authors in Journal of Drug Delivery Science and Technology.
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Patent for ‘Compounds for Treating Cannabinoid Toxicity’
“The present invention relates to novel compounds that can act as antidotes for treating “Acute Cannabinoid Overdose” produced by classical cannabinoids such as Δ9-tetrahydrocannabinol (THC) and several synthetic psychoactive cannabinoids (SPCs).” Find the paper and full list of authors at the link.
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‘Enhanced Cytotoxicity of 5-Fluorouracil Against Skin Cancer Cell Lines and 3D Spheroid Tumor Model Using Solid Lipid Nanoparticles’
“This study aimed to develop solid lipid nanoparticles containing 5-fluorouracil (5-FU loaded PGSLNs) to achieve desired physicochemical properties and to enhance in vitro cytotoxicity against monolayered and 3D spheroid skin tumor models. 5-FU loaded PGSLNs were prepared via cold homogenization using Glyceryl Palmitostearate (GP) and Geleol® as solid lipids and Poloxamer 188 and Tween 80 as surfactant and co-surfactant, respectively. … The designed solid lipid nanoparticles significantly enhanced the cytotoxic effect of 5-FU against monolayered and 3D spheroid skin tumor models and can be used as promising approach for skin cancer.” Find the paper and full list of authors in…
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‘Microfluidic-Chip-Based Formulation and In Vivo Evaluations of Squalene Oil Emulsion Adjuvants for Subunit Vaccines’
“Adjuvants play a crucial role in improving the immunogenicity of various antigens in vaccines. Squalene-in-water emulsions are clinically established vaccine adjuvants that improve immune responses, particularly during a pandemic. … In this study, we explored the feasibility of a microfluidic chip platform to address these challenges and evaluated the adjuvanticity of the emulsion adjuvant prepared using the microfluidic chip process in CB6F1 mice model, and compared it with a control formulation. … These findings demonstrate a proof of concept for using microfluidic chip platforms for formulating emulsion adjuvants.”Find the paper and full list of authors in Vaccines.
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‘Expanding Use of Continuous Glucose Monitoring in Type 2 Diabetes’
“A comprehensive literature search from 2008 to 2024 was conducted using PubMed, using key terms including “type 2 diabetes,” “continuous glucose monitoring,” and “non-insulin.” The search included high-impact and peer-reviewed journals dedicated to diabetes research and technology, such as Diabetes Technology & Therapeutics and Diabetes Spectrum. … Based on their relevance to the topic, 4 randomized controlled trials and 2 retrospective/observational studies were selected. … The findings from each study were then analyzed to provide insights into the effectiveness of CGMs in non-insulin-treated T2DM.” Find the paper and full list of authors in ADCES.
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‘Disulfiram-Containing Polymeric Nanocapsules With Anticancer Activity for Cancer Treatment’
“Disulfiram, a medication traditionally used to treat alcohol addiction, has gained attention as a potential cancer treatment in recent years. Disulfiram works by inhibiting the enzyme aldehyde dehydrogenase, involved in the breakdown of acetaldehyde, a by-product of alcohol metabolism. This results in the build up of acetaldehyde in the body leading to unpleasant side effects such as nausea and vomiting when alcohol is consumed while taking the drug. With cancer treatment, disulfiram has been found to have several mechanisms of action.”Find the paper and full list of authors in the International Journal of Pharmaceutics.