Our Work

Abstract: This dataset contains high-resolution flatbed scans of Viburnum carlesii (Korean Spice Viburnum) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestr…

Abstract: This dataset contains high-resolution flatbed scans of Viburnum carlesii (Korean Spice Viburnum) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestry Media Library (IFML). Specimen Details Taxon: Viburnum carlesii Family: Adoxaceae Common Name: Korean Spice Viburnum Specimen Type: Leaf (Adaxial & Abaxial) Collection Date: 2025-08-13 Location: Story County, Iowa, USA Data Structure To facilitate both scientific analysis and general use, this dataset is organized into two distinct packages: Archival Package (.zip): Contains the raw, uncompressed 48-bit TIFF masters captured at 1200 dpi. These files are cropped to the specimen boundaries and contain no color grading, post-processing, or physical scale bars. Recommended for high-magnification analysis of venation and pubescence. Access Package (.zip): Contains processed, color-corrected images. This includes PNGs with backgrounds removed (transparent) and high-quality JPEGs sharpened for immediate use in presentations, teaching materials, and web applications. Technical Specifications Scanner: Epson Expression 13000XL Resolution: 1200 dpi Color Depth: 48-bit Color (TIFF) / 24-bit (JPEG/PNG) Processing: Archival TIFFs are raw crops. Access files were processed in Adobe Photoshop and Lightroom using a standardized white balance and editing script to ensure consistency across the library. Citation & Attribution Under the Creative Commons Attribution 4.0 International license (CC-BY 4.0), you are free to use these images but must provide appropriate credit. For Academic Research (Bibliography): Willard, Eli. (2026). Iowa Forestry Media Library: Viburnum carlesii Dataset 040. Zenodo. For Web, Social Media, or Presentations (Caption/Credit Line): "Image courtesy of Eli Willard / Iowa Forestry Media Library (CC-BY 4.0)"

Abstract: This dataset contains high-resolution flatbed scans of Viburnum lentago (Nannyberry) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestry Media Libr…

Abstract: This dataset contains high-resolution flatbed scans of Viburnum lentago (Nannyberry) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestry Media Library (IFML). Specimen Details Taxon: Viburnum lentago Family: Adoxaceae Common Name: Nannyberry Specimen Type: Leaf (Adaxial & Abaxial) Collection Date: 2025 Location: Story County, Iowa, USA Data Structure To facilitate both scientific analysis and general use, this dataset is organized into two distinct packages: Archival Package (.zip): Contains the raw, uncompressed 48-bit TIFF masters captured at 1200 dpi. These files are cropped to the specimen boundaries and contain no color grading, post-processing, or physical scale bars. Recommended for high-magnification analysis of venation and pubescence. Access Package (.zip): Contains processed, color-corrected images. This includes PNGs with backgrounds removed (transparent) and high-quality JPEGs sharpened for immediate use in presentations, teaching materials, and web applications. Technical Specifications Scanner: Epson Expression 13000XL Resolution: 1200 dpi Color Depth: 48-bit Color (TIFF) / 24-bit (JPEG/PNG) Processing: Archival TIFFs are raw crops. Access files were processed in Adobe Photoshop and Lightroom using a standardized white balance and editing script to ensure consistency across the library. Citation & Attribution Under the Creative Commons Attribution 4.0 International license (CC-BY 4.0), you are free to use these images but must provide appropriate credit. For Academic Research (Bibliography): Willard, Eli. (2026). Iowa Forestry Media Library: Viburnum lentago Dataset 041. Zenodo. For Web, Social Media, or Presentations (Caption/Credit Line): "Image courtesy of Eli Willard / Iowa Forestry Media Library (CC-BY 4.0)"

Abstract: This dataset contains high-resolution flatbed scans of Platanus occidentalis (American Sycamore) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestr…

Abstract: This dataset contains high-resolution flatbed scans of Platanus occidentalis (American Sycamore) collected in Story County, Iowa, USA. These images were generated as part of the Iowa Forestry Media Library (IFML). Specimen Details Taxon: Platanus occidentalis Family: Platanaceae Common Name: American Sycamore Specimen Type: Leaf (Adaxial & Abaxial) Collection Date: 2025-07-31 Location: Story County, Iowa, USA Data Structure To facilitate both scientific analysis and general use, this dataset is organized into two distinct packages: Archival Package (.zip): Contains the raw, uncompressed 48-bit TIFF masters captured at 1200 dpi. These files are cropped to the specimen boundaries and contain no color grading, post-processing, or physical scale bars. Recommended for high-magnification analysis of venation and pubescence. Access Package (.zip): Contains processed, color-corrected images. This includes PNGs with backgrounds removed (transparent) and high-quality JPEGs sharpened for immediate use in presentations, teaching materials, and web applications. Technical Specifications Scanner: Epson Expression 13000XL Resolution: 1200 dpi Color Depth: 48-bit Color (TIFF) / 24-bit (JPEG/PNG) Processing: Archival TIFFs are raw crops. Access files were processed in Adobe Photoshop and Lightroom using a standardized white balance and editing script to ensure consistency across the library. Citation & Attribution Under the Creative Commons Attribution 4.0 International license (CC-BY 4.0), you are free to use these images but must provide appropriate credit. For Academic Research (Bibliography): Willard, Eli. (2026). Iowa Forestry Media Library: Platanus occidentalis Dataset 028. Zenodo. For Web, Social Media, or Presentations (Caption/Credit Line): "Image courtesy of Eli Willard / Iowa Forestry Media Library (CC-BY 4.0)"

Santhosh, A., and Narayanan, R. (2026). Source code for assessing the impact of heterogeneities on recurrent networks performing different cognitive tasks. Zenodo.  https://doi.org/10.5281/z…

Santhosh, A., and Narayanan, R. (2026). Source code for assessing the impact of heterogeneities on recurrent networks performing different cognitive tasks. Zenodo.  https://doi.org/10.5281/zenodo.17750827. 

A PyTorch Geometric library for topology-aware Koopman autoencoders on graphs: GNN lifting and decoding with a learned linear latent operator for forecasting and analyzing networked dynamical systems.

wisp-science v0.25.0 这是继 v0.24.0 之后的创作、阅读与项目协作体验版本。Wisp 新增 Scientific Illustrator:可使用配置的 gpt-image-2 直接生成 PNG 科学插图,也会继续为 SVG、矢量或可编辑图形保留可检查的 SVG 工作流。图像预览支持在局部区域留下编号批注并一键发送给 Agent 修订;研究图谱升级为项目级模态视图,支持列表…

wisp-science v0.25.0 这是继 v0.24.0 之后的创作、阅读与项目协作体验版本。Wisp 新增 Scientific Illustrator:可使用配置的 gpt-image-2 直接生成 PNG 科学插图,也会继续为 SVG、矢量或可编辑图形保留可检查的 SVG 工作流。图像预览支持在局部区域留下编号批注并一键发送给 Agent 修订;研究图谱升级为项目级模态视图,支持列表与关系图两种浏览方式。首次引导、模型能力校验、浏览器标签管理、对话定位与通知跳转也得到显著改善。 下载 macOS(.dmg,已签名 + 公证):区分 Apple Silicon(aarch64)与 Intel(x86_64),请下载对应架构。 Windows 安装包(MSI / NSIS):尚未签名,可能触发 SmartScreen,可选择「仍要运行」。 见下方 Assets。 新增功能 Scientific Illustrator 与图像批注 Scientific Illustrator:在 Settings → Models 配置 OpenAI gpt-image-2 并启用"Use for image generation"后,内置专家可将 PNG 或 image-model 请求生成至项目 figures/,对话会显示生成占位和最终图片。未指定格式时优先使用已配置的图像模型。 继续支持可编辑矢量图:明确请求 SVG、vector 或 editable 图形时,Illustrator 会采用直接 SVG → PNG 预览 → 视觉检查 → SVG 修订流程,不会被图像模型替代;明确 PNG 请求则需要已配置的图像生成模型。 图像区域批注与 AI 修订:在预览中框选区域后可添加简短备注,确认后显示随缩放/平移移动的编号 pin。工具栏"Send for AI revision"会将文件名、区域坐标与各条意见汇总到 composer,便于审阅后发送;仅批注不会上传图片区域。 项目、浏览器与对话导航 项目级研究图谱:研究图谱从右侧窄栏迁入项目模态视图,提供精确列表和轻量 SVG 关系图切换,并保留节点元数据、关系与引用信息。 可点击的能力统计:能力概览中的计数可以直接导航到对应的模型、Skills、MCP 或连接配置位置。 浏览器任务可清理标签:实时浏览器扩展会记录 Agent 通过 web_open_tab 打开的标签;任务结束时 Agent 可在获得确认后批量关闭自己打开的标签,不会影响用户原有页面。 更易回到上下文:聊天显示每条消息的时间戳;当最后一条用户消息滚出视口且下方仍有内容时,浮动"Your last message"按钮可快速回跳。系统通知被点击时会直接打开对应项目与会话。 更紧凑的 ACP 会话选项:ACP 会话配置项默认收起,减少对话区域干扰,需要时可展开调整。 更顺畅的首次使用与记忆管理 DeepSeek 快速引导:首次使用只要求 DeepSeek API key,并明确分为"获取密钥"和"粘贴密钥"步骤;一个 key 会创建 Pro 与 Flash 两个 profile,默认会话使用 Pro,内置 Reader 自动绑定 Flash(用户已自定义 Reader 时保持不变)。其他 provider 仍可在 Settings → Models 中配置。 Memory 分类视图:Settings → Memory 改为双栏分类界面,显示各分类笔记数、支持新建分类与新建笔记;原有开关和清空功能继续保留,现有无前缀笔记归入"About you"。 修复内容 模型图像能力校验:勾选"Supports image input"时,验证会随 ping 发送一个小型真实图片并明确报告 image probe,避免文本模型在实际附件到来时才返回 400。 在文本模型中继续已有会话:切换到不支持视觉的 profile 后,历史中的图片会在请求时替换为确定性的文本说明,不改写原始会话;若 provider 仍拒绝图片,失败消息会回到 composer 并提示恢复方式。 图像生成路由与格式:修复生成模型选择、占位显示和 Scientific Illustrator 的指定输出格式处理。 Markdown、终端与窗口交互:聊天 Markdown 的 thematic break 会正确保留;终端标签关闭控件恢复正常;真正首次启动时也会在 Projects landing 显示引导。 兼容性与升级说明 可直接覆盖安装 v0.24.0;项目、会话、模型、连接、ExecutionContext、Run、Artifact、研究图谱、插件与 Agent workflow 数据会继续保留,无需手工迁移。 图像生成 API key 继续存于系统 keyring;gpt-image-2 仅用于 Image API,不会出现在普通聊天、Reviewer、specialist、delegation 或 side-chat 的模型选择器中。 图像区域批注当前只保存在会话运行期,重启后不会恢复;需要长期保留的修订意见请通过发送给 Agent 的引用或项目文档记录。 DeepSeek 引导只影响首次配置;已有模型和 Reader 绑定不会被覆盖。 已知限制 web_open_tab 的清理只针对本次 Agent 记录的标签,并且仍需用户明确确认;无法替用户关闭未由 Wisp 打开的标签。 Scientific Illustrator 生成 PNG 需要可访问的 OpenAI Image API 与已配置的 gpt-image-2;明确 PNG 请求在未配置时不会静默退回 SVG。 Windows 安装包仍未签名,可能触发 SmartScreen。 需自备模型与第三方科研服务的 API Key;对应费用、配额与可用性由用户及服务商负责。 测试与交付 v0.24.0..v0.25.0 包含 25 个非合并提交,涉及 96 个文件,其中包括 13 项功能、5 项修复和模型/图像/UI E2E 覆盖更新。 新增或更新覆盖 Scientific Illustrator、image probe、历史图片降级、区域批注、研究图谱模态、浏览器标签关闭、DeepSeek 引导、Reader 绑定、Memory 分类、时间戳与通知导航。 推送 v0.25.0 标签后,GitHub Actions 会构建 macOS Apple Silicon / Intel DMG 与 Windows MSI / NSIS,并附加到本 Release。 反馈 欢迎在 GitHub Issues 反馈问题。图像生成或修订问题请说明模型配置、所选格式及脱敏复现步骤;浏览器问题请说明扩展连接状态与标签操作。API key、token、密码、Cookie、SSH 私钥和未脱敏科研数据请勿上传。 English: wisp-science v0.25.0 improves creation, reading, and project navigation. The new Scientific Illustrator can use a configured gpt-image-2 profile to generate PNG scientific images, while SVG/vector/editable requests retain the inspected SVG workflow. Image previews support numbered region comments and a one-click, review-before-send revision request. The research graph is now a project-level modal with list and graph views, and onboarding, model capability validation, browser-tab cleanup, conversation navigation, and notification routing are more polished. What's Changed Configure OpenAI gpt-image-2 as the image-generation model and use Scientific Illustrator to generate PNGs under figures/; retain direct SVG, rendered preview, visual inspection, and iteration for explicit SVG/vector/editable requests. Add image-region comment pins with fractional coordinates, zoom/pan-aware markers, deletion, and a single composer quote that asks an Agent to revise the annotated regions without uploading comment-only selections. Move the research graph into a project modal with list and dependency-graph views; make capability counts navigable to their corresponding settings surfaces. Track tabs opened through web_open_tab and, only after user confirmation, close the recorded task-owned tabs in bulk. Add timestamps to chat messages, a floating jump to the latest user turn, notification-click navigation to the owning conversation, and collapsed ACP session options. Simplify first-run setup to a DeepSeek key: create Pro and Flash profiles from one key and assign the built-in Reader to Flash without overriding an existing Reader choice. Organize Memory in a two-column category-and-note interface while preserving existing storage and enable/clear controls. Validate image-capable model profiles with a real tiny image; safely substitute historical image parts when a session moves to a text-only model and recover image-rejection failures into the composer. Preserve Markdown thematic breaks, fix terminal-tab close controls and the Projects-landing onboarding overlay, and correct image-generation routing and requested Illustrator output format. Compatibility: Installs over v0.24.0 in place with no manual migration. Image-generation profiles remain keyring-backed and are intentionally excluded from ordinary chat/reviewer/specialist pickers. Image comment pins are session-runtime state and do not survive an app restart. Existing models and custom Reader assignments are preserved by onboarding. Full Changelog: https://github.com/xuzhougeng/wisp-science/compare/v0.24.0...v0.25.0

kgmodule-utils is the shared SDK layer for the Flux-Frontiers knowledge-graph ecosystem. It provides the type abstractions, SQLite graph storage, pluggable vector index (LanceDB and sqlite-vec backend…

kgmodule-utils is the shared SDK layer for the Flux-Frontiers knowledge-graph ecosystem. It provides the type abstractions, SQLite graph storage, pluggable vector index (LanceDB and sqlite-vec backends), snapshot infrastructure, and a full build/query/pack pipeline base that domain KG modules subclass, so domain authors implement only what is specific to their source domain.

Este artículo examina cómo la geometría adquiere sentidos éticos y simbólicos en una selección de textos de la antigua Grecia y en estudios académicos …

Este artículo examina cómo la geometría adquiere sentidos éticos y simbólicos en una selección de textos de la antigua Grecia y en estudios académicos sobre la masonería. La comparación se centra en la medida, la moderación, la justicia, la armonía y el perfeccionamiento humano, pero evita presentar las semejanzas como indicios de una procedencia histórica común. Se trabajó con un enfoque cualitativo, documental y comparativo-hermenéutico. El corpus reunió textos de Platón, Arquitas, Aristóteles, Jámblico y Proclo, además de investigaciones sobre iconografía, arquitectura, ritualidad y simbolismo masónico. Para ordenar la lectura se utilizaron seis categorías: formación, medida y límite, proporción, justicia, armonía y construcción. El análisis muestra que, en los autores griegos estudiados, la geometría sirve para disciplinar la razón, pensar la igualdad proporcional y explicar la concordia. En los estudios académicos sobre la masonería, en cambio, figuras e instrumentos de la construcción se convierten en imágenes de rectitud, regulación de la conducta, trabajo interior y vida fraterna. El punto de encuentro está en una idea sencilla: la virtud exige medida y relaciones equilibradas. Las diferencias, sin embargo, son históricas y conceptuales. Por ello, la «geometría de la virtud» se propone como una categoría de lectura y no como prueba de continuidad institucional entre ambos mundos.