Tootfinder

Hamburg: Demokraten & Dragons
"Das Miskatonic Theater veranstaltete gestern am 24.07.2025 nahe der Roten Flora ein politisches Pen&Paper-Abenteuer mit vier Vertretenden der demokratischen Parteien: Leon Beck (FDP), Miriam Block (Bündnis 90/Die Grünen), Marie Kleinert (Die Linke) und Natalia Sahling (SPD). Es waren zahlreiche Gäste erschienen und mit Spannung und Humor wurden alle Anwesenden gut unterhalten."

Optimized Observation Sequencing in Low-Earth Orbit with the SPHEREx Survey Planning Software
Sean Bryan, James Bock, Thomas Burk, Tzu-Ching Chang, Brendan P. Crill, Ari Cukierman, Olivier Dore, C. Darren Dowell, Gregory Dubois-Felsmann, Beth Fabinsky, Sergi Hildebrandt-Rafels, Howard Hui, Kyle Hughes, Phillip Korngut, Philip Mauskopf, Julian Mena, Chi Nguyen, Milad Pourrahmani, Dustin Putnam, Keshav Ramanathan, Flora Ridenhour, Cody Roberson, Amy Trangsrud, Stephen Unwin, Pao-Yu Wang,…

Optimized Observation Sequencing in Low-Earth Orbit with the SPHEREx Survey Planning Software
SPHEREx is a NASA infrared astronomy mission that launched on March 12th, 2025 and is operating successfully in low-Earth orbit (LEO). The mission is currently observing the entire sky in 102 spectral channels in four independent all-sky surveys and also achieves enhanced coverage in two deep fields. This data will resolve key science questions about the early universe, galaxy formation, and the origin of water and biogenic molecules. In this paper, we describe the survey planning software (SPS…

MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
Riju Marwah, Riya Arora, Navneet Yadav, Himank Arora
https://arxiv.org/abs/2508.19021

MicroDetect-Net (MDN): Leveraging Deep Learning to Detect Microplastics in Clam Blood, a Step Towards Human Blood Analysis
With the prevalence of plastics exceeding 368 million tons yearly, microplastic pollution has grown to an extent where air, water, soil, and living organisms have all tested positive for microplastic presence. These particles, which are smaller than 5 millimeters in size, are no less harmful to humans than to the environment. Toxicity research on microplastics has shown that exposure may cause liver infection, intestinal injuries, and gut flora imbalance, leading to numerous potential health ha…

Wer gegen Antisemitismus ist hat in Gaza mitgebombt meint die gescheiterte Rapperin. ok

Zum #MeerMittwoch wieder ein maritimes Gemälde von mir:
Der "legendäre" Walfänger FLORA aus #Elmshorn. Diese Bark ist übrigens auf den Hafenflocken-Packungen der elmshorner Firma "Köllnflocken" abgebildet. Nach ihrer Zeit als Walfänger war die FLORA in Hamburg als Verans…

The week in wildlife | The Guardian #photography

🔊 #NowPlaying on #BBCRadio3:
#RecordReview
- BBC Proms Composer: Puccini with Flora Willson and Andrew McGregor
Flora Willson picks five indispensable recordings by this week's BBC Proms Composer: Puccini, plus the rest of the week's new releases
Relisten now 👇
https://www.bbc.co.uk/programmes/m002h0kr

US proposes zero new protections for traded wildlife at upcoming CITES CoP https://news.mongabay.com/2025/08/us-proposes-zero-new-protections-for-traded-wildlife-at-upcoming-cites-cop/

US proposes zero new protections for traded wildlife at upcoming CITES CoP
At the end of 2025, representatives from 185 countries will convene in Uzbekistan to discuss the fate of sharks, African hornbills, hyenas, vultures, palm trees and other threatened species. The group’s decisions will, in part, decide the survival and the future of widely traded fauna and flora as they vote whether to set limits on or […]

One Step Beyond: Feedthrough & Placement-Aware Rectilinear Floorplanner
Zhexuan Xu, Jie Wang, Siyuan Xu, Zijie Geng, Mingxuan Yuan, Feng Wu
https://arxiv.org/abs/2507.14914

One Step Beyond: Feedthrough & Placement-Aware Rectilinear Floorplanner
Floorplanning determines the shapes and locations of modules on a chip canvas and plays a critical role in optimizing the chip's Power, Performance, and Area (PPA) metrics. However, existing floorplanning approaches often fail to integrate with subsequent physical design stages, leading to suboptimal in-module component placement and excessive inter-module feedthrough. To tackle this challenge, we propose Flora, a three-stage feedthrough and placement aware rectilinear floorplanner. In the firs…

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning
Xinyu Li, Tongguang Li, Lixiang Yan, Yuheng Li, Linxuan Zhao, Mladen Rakovi\'c, Inge Molenaar, Dragan Ga\v{s}evi\'c, Yizhou Fan
https://arxiv.org/abs/2507.07362

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning
SRL, defined as learners' ability to systematically plan, monitor, and regulate their learning activities, is crucial for sustained academic achievement and lifelong learning competencies. Emerging Artificial Intelligence (AI) developments profoundly influence SRL interactions by potentially either diminishing or strengthening learners' opportunities to exercise their own regulatory skills. Recent literature emphasizes a balanced approach termed Hybrid Human-AI Regulated Learning (HHAIRL), in w…

Just a quick snap from today's bike and hike.
I'm a bit done now. Photos and video will come later.
#photography #naturephotography #landscapephotography

Rote Flora Crowdfunding wann

🇺🇦 #NowPlaying on BBCRadio3's #MusicPlanet
Flora MacNeil:
🎵 Ailein Duinn a ni 's a naire (Dark Alan)
#FloraMacNeil

STOAT: Spatial-Temporal Probabilistic Causal Inference Network
Yang Yang, Du Yin, Hao Xue, Flora Salim
https://arxiv.org/abs/2506.09544 https://

STOAT: Spatial-Temporal Probabilistic Causal Inference Network
Spatial-temporal causal time series (STC-TS) involve region-specific temporal observations driven by causally relevant covariates and interconnected across geographic or network-based spaces. Existing methods often model spatial and temporal dynamics independently and overlook causality-driven probabilistic forecasting, limiting their predictive power. To address this, we propose STOAT (Spatial-Temporal Probabilistic Causal Inference Network), a novel framework for probabilistic forecasting in …

Dringende oproep om ‘onzinnige’ regels rond nieuwbouw te schrappen: ‘We slaan door’ | Wonen | #gelderlander
https://www.gelderlander.nl/wo…

Checkmate: interpretable and explainable RSVQA is the endgame
Lucrezia Tosato, Christel Tartini Chappuis, Syrielle Montariol, Flora Weissgerber, Sylvain Lobry, Devis Tuia
https://arxiv.org/abs/2508.13086

Checkmate: interpretable and explainable RSVQA is the endgame
Remote Sensing Visual Question Answering (RSVQA) presents unique challenges in ensuring that model decisions are both understandable and grounded in visual content. Current models often suffer from a lack of interpretability and explainability, as well as from biases in dataset distributions that lead to shortcut learning. In this work, we tackle these issues by introducing a novel RSVQA dataset, Chessboard, designed to minimize biases through 3'123'253 questions and a balanced answer distribut…

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Keyang Qian, Kaixun Yang, Wei Dai, Flora Jin, Yixin Cheng, Rui Guan, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga\v{s}evi\'c
https://arxiv.org/abs/2508.05953

SCALEFeedback: A Large-Scale Dataset of Synthetic Computer Science Assignments for LLM-generated Educational Feedback Research
Using LLMs to give educational feedback to students for their assignments has attracted much attention in the AI in Education field. Yet, there is currently no large-scale open-source dataset of student assignments that includes detailed assignment descriptions, rubrics, and student submissions across various courses. As a result, research on generalisable methodology for automatic generation of effective and responsible educational feedback remains limited. In the current study, we constructed…

Get ready for some major sci-fi flora! On today's "3D Printing Adventures Penguin Style!", we're turning an AT-AT into a humble pot plant. Because even Imperial walkers need a little green in their lives. Tune in for the shenanigans! #ATAT #StarWarsGardening

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Hiroshi Yoshimura:
🎵 Flora
#HiroshiYoshimura
https://open.spotify.com/track/2pIFJqak7JsXzoYbdslbmU

CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning
Justin Luong, Hao Xue, Flora D. Salim
https://arxiv.org/abs/2508.03764 https://

CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning
Physicians routinely assess respiratory sounds during the diagnostic process, providing insight into the condition of a patient's airways. In recent years, AI-based diagnostic systems operating on respiratory sounds, have demonstrated success in respiratory disease detection. These systems represent a crucial advancement in early and accessible diagnosis which is essential for timely treatment. However, label and data scarcity remain key challenges, especially for conditions beyond COVID-19, li…

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
Sichen Zhao, Wei Shao, Jeffrey Chan, Ziqi Xu, Flora Salim
https://arxiv.org/abs/2508.07518

FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction
As deep spatio-temporal neural networks are increasingly utilised in urban computing contexts, the deployment of such methods can have a direct impact on users of critical urban infrastructure, such as public transport, emergency services, and traffic management systems. While many spatio-temporal methods focus on improving accuracy, fairness has recently gained attention due to growing evidence that biased predictions in spatio-temporal applications can disproportionately disadvantage certain …

🇺🇦 #NowPlaying on #KEXP's #VarietyMix
hey, nothing:
🎵 Flora
#hey #nothing
https://open.spotify.com/track/4psLJVdNBxTGZbmRC7DhVR

Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
Flora Angileri, Andrea Clementi, Emanuele Natale, Michele Salvi, Isabella Ziccardi
https://arxiv.org/abs/2507.23533

Threshold-Driven Streaming Graph: Expansion and Rumor Spreading
A randomized distributed algorithm called RAES was introduced in [Becchetti et al., SODA 2020] to extract a bounded-degree expander from a dense $n$-vertex expander graph $G = (V, E)$. The algorithm relies on a simple threshold-based procedure. A key assumption in [Becchetti et al., SODA 2020] is that the input graph $G$ is static - i.e., both its vertex set $V$ and edge set $E$ remain unchanged throughout the process - while the analysis of RAES in dynamic models is left as a major open questi…

🇺🇦 #NowPlaying on #BBC6Music's #DreamTime
Matthewdavid:
🎵 Ode To Flora (Nico Remix)
#Matthewdavid
https://lorecordings.bandcamp.com/track/ode-to-flora
https://open.spotify.com/track/6k01Ws2j6KvJb0NkXASXKD

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
Daniel Abdi, Isidora Jankov, Paul Madden, Vanderlei Vargas, Timothy A. Smith, Sergey Frolov, Montgomery Flora, Corey Potvin
https://arxiv.org/abs/2507.05658

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales
The High-Resolution Rapid Refresh (HRRR) model is a convection-allowing model used in operational weather forecasting across the contiguous United States (CONUS). To provide a computationally efficient alternative, we introduce HRRRCast, a data-driven emulator built with advanced machine learning techniques. HRRRCast includes two architectures: a ResNet-based model (ResHRRR) and a Graph Neural Network-based model (GraphHRRR). ResHRRR uses convolutional neural networks enhanced with squeeze-and-…

Reinforcement Fine-Tuned Large Language Models for Next POI Recommendation
Peibo Li, Shuang Ao, Hao Xue, Yang Song, Maarten de Rijke, Johan Barth\'elemy, Tomasz Bednarz, Flora D. Salim
https://arxiv.org/abs/2506.21599

Reinforcement Fine-Tuned Large Language Models for Next POI Recommendation
Large language models (LLMs) have been adopted for next point-of-interest (POI) recommendation tasks. Typical LLM-based recommenders fall into two categories: prompt-based and supervised fine-tuning (SFT)-based models. Prompt-based models generally offer greater output flexibility but deliver lower accuracy, whereas SFT-based models achieve higher performance yet face a fundamental mismatch: next POI recommendation data does not naturally suit supervised fine-tuning. In SFT, the model is traine…

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
Keyang Qian, Yixin Cheng, Rui Guan, Wei Dai, Flora Jin, Kaixun Yang, Sadia Nawaz, Zachari Swiecki, Guanliang Chen, Lixiang Yan, Dragan Ga\v{s}evi\'c
https://arxiv.org/abs/2508.05952

Dean of LLM Tutors: Exploring Comprehensive and Automated Evaluation of LLM-generated Educational Feedback via LLM Feedback Evaluators
The use of LLM tutors to provide automated educational feedback to students on student assignment submissions has received much attention in the AI in Education field. However, the stochastic nature and tendency for hallucinations in LLMs can undermine both quality of learning experience and adherence to ethical standards. To address this concern, we propose a method that uses LLM feedback evaluators (DeanLLMs) to automatically and comprehensively evaluate feedback generated by LLM tutor for su…

Human Extinction A Demographic Perspective
David A. Swanson, Jeff Tayman
https://arxiv.org/abs/2508.07568 https://arxiv.org/pdf/2508.07568

Human Extinction A Demographic Perspective
Studies that predict species extinction have focused on a range of flora and fauna but in regard to Homo sapiens there are, with one notable exception, no predictive studies, only considerations of possible ways this may occur. The exception believes extinction of Homo sapiens will happen in 10,000 years. We agree that extinction will happen, but we disagree on the timing: The work we present here suggests that if the current decline in birth rates continues, humans could be extinct by 2394. If…

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David Heslop, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora Salim
https://arxiv.org/abs/2506.09076

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Pathogen genome data offers valuable structure for spatial models, but its utility is limited by incomplete sequencing coverage. We propose a probabilistic framework for inferring genetic distances between unsequenced cases and known sequences within defined transmission chains, using time-aware evolutionary distance modeling. The method estimates pairwise divergence from collection dates and observed genetic distances, enabling biologically plausible imputation grounded in observed divergence …

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora D. Salim
https://arxiv.org/abs/2505.22692

BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting
Accurate forecasting of avian influenza outbreaks within wild bird populations requires models that account for complex, multi-scale transmission patterns driven by various factors. Spatio-temporal GNN-based models have recently gained traction for infection forecasting due to their ability to capture relations and flow between spatial regions, but most existing frameworks rely solely on spatial connections and their connections. This overlooks valuable genetic information at the case level, su…

🇺🇦 #NowPlaying on BBCRadio3's #MusicMap
Träd, Linda Timmermans, Simon Roth, Francesca Ter‐Berg, Flora Curzon & Fran & Flora:
🎵 Romanian Fantasies
#Träd #LindaTimmermans #SimonRoth #FrancescaTerBerg #FloraCurzon #Fran #Flora

🇺🇦 #NowPlaying on #KEXP's #PacificNotions
Stu Pender:
🎵 Flora
#StuPender
#newRelease 🆕 album
https://stupender.bandcamp.com/track/flora
https://open.spotify.com/track/3Bikn02ZkUhVtUqAnD1aWi

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Georgia Denham, Georgia Denham, Jacob Perry, Karel Vrbik, Flora McNicoll & Rory Anderson:
🎵 Waterglass
#GeorgiaDenham #JacobPerry #KarelVrbik #FloraMcNicoll #RoryAnderson