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Glucose is dynamically regulated by time of day in humans and Drosophila
(2026-04-16) Malik, Dania M.; Kain, Pinky; Rhoades, Seth D.; Sengupta, Arjun; Zhang, Shirley L.; Barber, Annika; Haynes, Paula; Arnardottir, Erna Sif; Pack, Allan; Kibbey, Richard G.; Sehgal, Amita; Weljie, Aalim M.; Department of Engineering
Biological clocks shape metabolism, but how circadian programs govern nutrient processing is unclear. Here, using human metabolomics and 13C6-glucose tracing in Drosophila, we delineate previously under characterized daily oscillations in glucose-derived metabolic networks, providing a mechanistic framework for a purpose-built isotope-tracing approach. In flies, we reveal a pronounced “rush hour” of glucose utilization early in the light phase, with carbons directed to biosynthetic and energetic pathways. By contrast, a dopamine reuptake-deficient hyperactive mutant (fumin) with elevated metabolic rate shows phase-shifted and amplified metabolic peaks, indicating that altered neural signaling reshapes temporal glucose flux. Neither altered feeding schedules nor short-term fasting disrupt these intrinsic metabolic rhythms, strongly suggesting that circadian timing, rather than nutrient availability, orchestrates temporal homeostasis. By integrating human metabolite profiling with isotope-tracing in flies, we define a conserved temporal architecture of glucose utilization and demonstrate that metabolic flux is dynamically gated across the day. Our findings establish a framework for understanding how circadian misalignment contributes to metabolic dysfunction and disease.
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"to be that one other brick in the pillar" : Online Communities, Platforms, and Collective Action in the BTS Industrial Complex
(Association for Computing Machinery, 2026-04-13) Ringland, Kathryn E.; Seetharaman, Bhavani; Her, Jhertau; Tan, Angeleen; Larsen, Bjarke Alexander; Mendoza, Lance; Carstensdottir, Elin; Oliver, Nuria; Shamma, David A.; Candello, Heloisa; Cesar, Pablo; Lopes, Pedro; Bozzon, Alessandro; Kosch, Thomas; Liao, Vera; Ma, Xiaojuan; Artizzu, Valentino; Draxler, Fiona; Lopez, Gustavo; Reinschluessel, Anke V.; Tong, Xin; Toups Dugas, Phoebe O.; Department of Computer Science
Social media platforms have become integral to everyday life and serve as the foundation for online communities. These platforms not only enable communication but also shape the ways in which online communities are formed and maintained. In this paper, we examine an online community, the BTS fandom ARMY, using Durkheim's concept of solidarity, we show how ARMY's symbolic commitments, collective labor, and boundary negotiations are simultaneously community practices and infrastructural labor that generate cultural and economic value. Using an online survey and ethnographic observations of BTS ARMY, we present the BTS Industrial Complex, an ecosystem of communities all related to BTS that rely on digital platforms to influence and interact with each other. Our contributions are threefold: (1) a conceptualization of the BTS Industrial Complex as a sociotechnical ecosystem, (2) empirical insights into how platforms shape collective action, and (3) implications for HCI in designing for and critically examining large-scale cultural economies.
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Effects of nutrition on exercise induced muscle damage in male and female contact sports: A systematic review
(2026-03) Lucas, Felicity; Iatridi, Vasiliki; Costello, Rianne; Graham, Catherine Anna-Marie; Curtis, Christopher; Delextrat, Anne; Department of Sport Science
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Life Cycle Assessment of Icelandic Volcanic Pozzolans as Low-Carbon Supplementary Cementitious Materials
(Springer Science and Business Media Deutschland GmbH, 2026) Hamdallah, Mohammed; Costa, Diego; Heinonen, Jukka; Finger, David Christian; Bragança, Luís; Mateus, Ricardo; Tsikaloudaki, Katerina; Giarma, Christina; Kontoleon, Karolos; Askar, Rand; Salles, Adriana; Cervantes, Camila; Department of Engineering
The cement industry is a major contributor to global greenhouse gas emissions, predominantly due to clinker production. Supplementary Cementitious Materials (SCMs) represent an effective mitigation strategy, yet conventional SCMs such as Fly Ash (FA) and Ground Granulated Blast Furnace Slag (GGBFS) are becoming increasingly scarce. Volcanic pozzolans offer a promising natural alternative, and Iceland possesses extensive deposits that have not yet been evaluated from an environmental perspective. This study presents the first cradle-to-gate Life Cycle Assessment (LCA) of Icelandic Volcanic Pozzolan (VPI) production, drawing on primary data from three extraction sites and a planned processing facility in Þorlákshöfn—Lambafell, Litla Sandfell, and Landeyjahöfn—and secondary data from GaBi and Ecoinvent. A declared unit of one tonne of VPI is assessed across all ReCiPe 2016 midpoint impact categories. Results show that VPI’s climate change impact of 25.5 kg CO2-eq/t falls between FA (3–10 kg CO2-eq/t) and GGBFS (50–80 kg CO2-eq/t), confirming its competitiveness with established SCMs while offering the strategic advantage of abundant local supply. Marine dredging operations emerge as the dominant environmental hotspot, accounting for approximately 48.1% of total CO2-equivalent emissions. The findings confirm VPI as a robustly low-carbon SCM and support its large-scale adoption in sustainable cement production.
Verk
Clock Distribution with Gradient TRIX
(Association for Computing Machinery, 2025-06-13) Srinivas, Shreyas; Lenzen, Christoph; Department of Computer Science
Gradient clock synchronization (GCS) algorithms minimize the worst-case clock offset between the nodes in a distributed network of diameter D and size n. They achieve optimal offsets of ⊙(log D) locally, i.e., between adjacent nodes [14] and ⊙(D) globally [2]. A key open problem in this area is to achieve fault tolerance at minimal edge replication overhead.In this work, we achieve this goal under the assumption of an average-case distribution of faults, i.e., nodes fail with independent probability p ϵ o(n-1/2). In more detail, we present a self-stabilizing GCS algorithm for a grid-like directed graph with in- and out-degrees of 3. Note that even for tolerating a single fault, this degree is necessary, and if p was larger, it would not hold with probability 1 - o (1) that each node has at most one faulty in-neighbor. Our algorithm achieves asymptotically optimal local skew of ⊙(log D) with probability 1 - o(1); this holds under general worst-case assumptions on link delay and clock speed variations, provided they change slowly relative to the speed of the system.On the one hand, our results are of practical interest. As we discuss, the fault model is suitable for synchronously clocked hardware. Since our algorithm can simultaneously sustain a constant number of arbitrary changes due to faults in each clock cycle, it achieves sufficient robustness to dramatically increase the size of synchronously clocked systems.On the other hand, our results are of a theoretical interest. We show that for a worst-case distribution of f faulty nodes within our fault model's locality constraints, our algorithm achieves local skew O(5f log D). With probabilistically distributed faults, this becomes O(log D). Moreover, our work opens up avenues for further investigation of fault-tolerant synchronization, in particular trade-offs between fault distribution and edge density.

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