Tootfinder

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 […]

🇺🇦 #NowPlaying on KEXP's #Audioasis
Flora FM:
🎵 Eternal Huron Shadows
#FloraFM

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…

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

🔊 #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

"Hedgehogs, salmon and birds at risk after dry summer, says Natural England"
#UK #UnitedKingdom #Animals

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 …

"Flora für Alle" – autoritäre Kontinuitäten gegen feministische und emanzipatorische Politik
#FloraBleibt

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."

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…

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
Alvaro Patricio, Atabak Dehban, Rodrigo Ventura
https://arxiv.org/abs/2508.21712

FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRA
Recent advances in diffusion-based generative models have demonstrated significant potential in augmenting scarce datasets for object detection tasks. Nevertheless, most recent models rely on resource-intensive full fine-tuning of large-scale diffusion models, requiring enterprise-grade GPUs (e.g., NVIDIA V100) and thousands of synthetic images. To address these limitations, we propose Flux LoRA Augmentation (FLORA), a lightweight synthetic data generation pipeline. Our approach uses the Flux 1…

Cast of critters adds to mystique of PFW campus | Purdue University Fort Wayne 🐘 🐿️ 🦅 https://share.google/T9hABaY9aImTdZOxV

Cast of critters adds to mystique of PFW campus | Purdue University Fort Wayne
There’s tremendous depth and variety of flora and fauna around the PFW campus, largely thanks to its proximity to the St. Joseph River and the wetland area along California Road. Sometimes that diversity spills over onto the Main Campus.

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

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…

Loss of spawning pools, insects and marshy habitats has had ‘catastrophic effect on our flora and fauna’ https://www.theguardian.com/environment/2025/sep/15/hedgehogs-salmon-and-birds-at-risk-after-dry-summer-says-natural…

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…

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…

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…

The week in wildlife | The Guardian #photography

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- PACER: Physics Informed and Uncertainty Aware Climate Emulator
Hira Saleem, Flora Salim, Cormac Purcell

Investigating four new candidate redback pulsars discovered in the image plane
Flora Petrou, Natasha Hurley-Walker, Sam McSweeney, Susmita Sett, Rebecca Kyer, Chia Min Tan, Yogesh Maan, Arash Bahramian, Dougal Dobie, David Kaplan, Andrew Zic, Julia Deneva, Tara Murphy, Emil Polisensky, Akash Anumarlapudi
https://arxiv.org/abs/2509.25943

Investigating four new candidate redback pulsars discovered in the image plane
This paper reports the discovery and follow-up of four candidate redback spider pulsars: GPM J1723-33, GPM J1734-28, GPM J1752-30 and GPM J1815-14, discovered with the Murchison Widefield Array (MWA) from an imaging survey of the Galactic Plane. These sources are considered to be redback candidates based on their eclipsing variability, steep negative spectral indices, and potential Fermi $γ$-ray associations, with GPM J1723-33 and GPM J1815-14 lying within a Fermi 95% error ellipse. Follow-up …

When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks
Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim
https://arxiv.org/abs/2509.18874

DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
Jiayi Li, Flora D. Salim
https://arxiv.org/abs/2509.24868 https://arxiv.org/pdf/2509.24868…

DRIFT-Net: A Spectral--Coupled Neural Operator for PDEs Learning
Learning PDE dynamics with neural solvers can significantly improve wall-clock efficiency and accuracy compared with classical numerical solvers. In recent years, foundation models for PDEs have largely adopted multi-scale windowed self-attention, with the scOT backbone in \textsc{Poseidon} serving as a representative example. However, because of their locality, truly globally consistent spectral coupling can only be propagated gradually through deep stacking and window shifting. This weakens…

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…

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…

🇺🇦 #NowPlaying on #BBC6Music's #AmyLamé
Flora Fishbach:
🎵 Des Betises (Pt 1)
#FloraFishbach
https://fishbach.bandcamp.com/track/des-b-tises-part-i
https://open.spotify.com/track/7jfhPjm9Xdl5FtooaAHzMv

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…

Replaced article(s) found for physics.ao-ph. https://arxiv.org/list/physics.ao-ph/new
[1/1]:
- PACER: Physics Informed Uncertainty Aware Climate Emulator
Hira Saleem, Flora Salim, Cormac Purcell

Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
Harshit, Rahul Jana, Ritesh Kumar
https://arxiv.org/abs/2509.17800 https://…

Convolutional Neural Network Optimization for Beehive Classification Using Bioacoustic Signals
The behavior of honeybees is an important ecological phenomenon not only in terms of honey and beeswax production but also due to the proliferation of flora and fauna around it. The best way to study this significant phenomenon is by non-invasive monitoring of beehives using the sounds produced by various body movements that give out audio signals which can be exploited for various predictions related to the objectives mentioned above. This study investigates the application of Convolutional Ne…

🇺🇦 #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 #KEXP's #Audioasis
Carl Christensen & The Lake Flora Band:
🎵 Cocaine Jamie
#CarlChristensen #TheLakeFloraBand
#newRelease 🆕 album
https://that1carlkid.bandcamp.com/track/cocaine-jamie
https://open.spotify.com/track/2DjCj9q3H8kiLh44uR0ZEt