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1. Einsums/Einsums: v1.0.0 release

   https://doi.org/10.5281/zenodo.14968301  

   Turney, Justin; Briggs, Connor; Burns, Lori A; Jiang, Andy; Mitchell, Erica (January 2025, Zenodo)

   What's Changed Optimize some vector operations by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/90 Add a way to create a tensor view of a pointer by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/92 Add python bindings by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/87 Update IndexUtils.hpp by @jturney in https://github.com/Einsums/Einsums/pull/95 Einsums Restructuring by @jturney in https://github.com/Einsums/Einsums/pull/97 Fix print. by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/102 Docs: Docs were not deploying by @jturney in https://github.com/Einsums/Einsums/pull/104 Fix performance issues by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/107 Fix parsing bug by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/110 Fix performance again by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/111 Fixing docs by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/101 Docs: Tweaks for consistency. by @jturney in https://github.com/Einsums/Einsums/pull/120 Move Design Patterns by @cgbriggs99 in https://github.com/Einsums/Einsums/pull/121 Full Changelog: https://github.com/Einsums/Einsums/compare/v0.6.1...v1.0.0 

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2. Ripple: Asynchronous Programming for Spatial Dataflow Architectures

   https://doi.org/10.1145/3729256  

   Ghosh, Souradip; Shi, Yufei; Lucia, Brandon; Beckmann, Nathan (June 2025, Proceedings of the ACM on Programming Languages)

   Spatial dataflow architectures (SDAs) are a promising and versatile accelerator platform. They are software-programmable and achieve near-ASIC performance and energy efficiency, beating CPUs by orders of magnitude. Unfortunately, many SDAs struggle to efficiently implement irregular computations because they suffer from an abstraction inversion: they fail to capture coarse-grain dataflow semantics in the application — namely asynchronous communication, pipelining, and queueing — that are naturally supported by the dataflow execution model and existing SDA hardware. Ripple is a language and architecture that corrects the abstraction inversion by preserving dataflow semantics down the stack. Ripple provides asynchronous iterators, shared-memory atomics, and a familiar task-parallel interface to concisely express the asynchronous pipeline parallelism enabled by an SDA. Ripple efficiently implements deadlock-free, asynchronous task communication by exposing hardware token queues in its ISA. Across nine important workloads, compared to a recent ordered-dataflow SDA, Ripple shrinks programs by 1.9×, improves performance by 3×, increases IPC by 58%, and reduces dynamic instructions by 44%. 

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3. The impact of the urban heat island and future climate on urban building energy use in a midwestern US neighborhood

   Hashemi, F; Najafian, P; Salahi, N; Ghiasi, S; Passe, U (February 2025, Energies)

   Typical Meteorological Year (TMY) datasets, widely used in building energy modeling, overlook Urban Heat Island (UHI) effects and future climate trends by relying on long-term data from rural stations such as airports. This study addresses this limitation by integrating Urban Weather Generator (UWG) simulations with CCWorldWeatherGen projections to produce microclimate-adjusted and future weather scenarios. These datasets were then incorporated into an Urban Building Energy Modeling (UBEM) framework using Urban Modeling Interface (UMI) to evaluate energy performance across a lowincome residential neighborhood in Des Moines, Iowa. Results show that UHI intensity will rise from an annual average of 0.55 °C under current conditions to 0.60 °C by 2050 and 0.63 °C by 2080, with peak intensities in summer. The UHI elevates cooling Energy Use Intensity (EUI) by 7% today, with projections indicating a sharp increase—91% by 2050 and 154% by 2080. The UHI will further amplify cooling demand by 2.3% and 6.2% in 2050 and 2080, respectively. Conversely, heating EUI will decline by 20.0% by 2050 and 40.1% by 2080, with the UHI slightly reducing heating demand. Insulation mitigates cooling loads but becomes less effective for heating demand over time. These findings highlight the need for climate-adaptive policies, building retrofits, and UHI mitigation to manage future cooling demand. 

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4. Catalogue of type specimens of lice (Insecta: Psocodea: Phthiraptera) held in the Field Museum of Natural History louse collection

   https://doi.org/10.1635/053.168.0105  

   Kuabara, Kamila M.; Valim, Michel P.; Weckstein, Jason D. (January 2023, Proceedings of the Academy of Natural Sciences of Philadelphia)

   This paper provides a catalogue of the type specimens of lice (Insecta: Psocodea: Phthiraptera) held in the collection of the Field Museum of Natural History (FMNH), Chicago, Illinois, USA. There are 178 nominal species, four of which are represented by holotype only; 14 by holotype, allotype and paratypes; 29 by holotype and paratypes; 127 by paratypes only; three by neoparatypes, and one by paralectotype. The main goal of this type catalog is to make the louse type specimens and their metadata more readily available to biodiversity researchers. 

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5. Major, trace element and Sr-Nd-Hf-Pb isotope geochemistry of whole rock and glass basaltic samples from the Rio Grande Rise and Tarazed seamount chain, South Atlantic collected by the dredge sampling cruise NBP1808 with RV Nathanial B. Palmer

   https://doi.org/10.60520/IEDA/113337  

   Class, Cornelia; Arden, Sarah (January 2026, Interdisciplinary Earth Data Alliance (IEDA))

   Whole rock major elements on ICP-OES by flux fusion or on trace element dissolutions, and trace elements by solution ICP-MS. Basaltic glass major elements by electron microprobe and trace elements by laser ICP-MS. Sr-Nd-Hf-Pb isotopes on MC-ICP-MS. 

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