Tootfinder

How thousands of small-scale farmers in Malawi are using a government-backed AI chatbot, designed by the nonprofit Opportunity International, for farming advice (Gregory Gondwe/Associated Press)
https://apnews.com/article/malawi-ai-fa…

AI is helping small-scale farmers in Malawi
Some small-scale farmers in the southern African country of Malawi are using an AI chatbot for advice to help them improve their methods and become more resilient to climate change. The chatbot is designed by the non-profit Opportunity International and is being used by around 180,000 rural households. The project is also backed by the Malawi government. Artificial intelligence has the potential to boost productivity in African agriculture, which is lagging behind. But there are many challenges…

The Liberty Justice Center
is the litigation arm of the
right-wing Illinois Policy Institute.
It has aggressively backed legal attacks on labor unions
(including the landmark Janus v. AFSCME Supreme Court case),
attacked gun safety measures,
and promoted policies that undermine public schools, such as taxpayer-funded vouchers.

The Liberty Justice Center received $1 million in 2021 from the Marcus Foundation,
a charitable giving nonprofit run b…

Liberty Justice Center | Supreme Transparency
The Liberty Justice Center is the litigation arm of the right-wing Illinois Policy Institute. It has aggressively backed legal attacks on labor unions (including the landmark Janus v. AFSCME Supreme Court case), attacked gun safety measures, and promoted policies that undermine public schools, such as taxpayer-funded vouchers.

Observability and parameter estimation of a generic model for aggregated distributed energy resources
Bukunmi Gabriel Odunlami, Marcos Netto
https://arxiv.org/abs/2510.10892 htt…

Observability and parameter estimation of a generic model for aggregated distributed energy resources
We propose a novel framework for estimating the parameters of an aggregated distributed energy resources (der_a) model. First, we introduce a rigorous method to determine whether all model parameters are estimable. When they are not, our approach identifies the subset of parameters that can be estimated. The proposed framework offers new insights into the number and specific parameters that can be reliably estimated based on commonly available measurements. It also highlights the limitations of…

Gate Teleportation vs Circuit Cutting in Distributed Quantum Computing
Shobhit Gupta, Nikolay Sheshko, Daniel J. Dilley, Alvin Gonzales, Manish K. Singh, Zain H. Saleem
https://arxiv.org/abs/2510.08894

Gate Teleportation vs Circuit Cutting in Distributed Quantum Computing
Distributing circuits across quantum processor modules will enable the execution of circuits larger than the qubit count limitations of monolithic processors. While distributed quantum computation has primarily utilized circuit cutting, it incurs an exponential growth of sub-circuit sampling and classical post-processing overhead with an increasing number of cuts. The entanglement-based gate teleportation approach does not inherently incur exponential sampling overhead, provided that quantum in…

scellop: A Scalable Redesign of Cell Population Plots for Single-Cell Data
Thomas C. Smits, Nikolay Akhmetov, Tiffany S. Liaw, Mark S. Keller, Eric M\"orth, Nils Gehlenborg
https://arxiv.org/abs/2510.09554

scellop: A Scalable Redesign of Cell Population Plots for Single-Cell Data
Summary: Cell population plots are visualizations showing cell population distributions in biological samples with single-cell data, traditionally shown with stacked bar charts. Here, we address issues with this approach, particularly its limited scalability with increasing number of cell types and samples, and present scellop, a novel interactive cell population viewer combining visual encodings optimized for common user tasks in studying populations of cells across samples or conditions. Av…

A look at Re:Public, a new nonprofit outlet focusing on US public lands and aiming for 10-12 stories/year, founded by former Outside Magazine EIC Chris Keyes (Neel Dhanesha/Nieman Lab)
https://www.niemanlab.org/2025/10/republic-is-rep…

Re:Public is reporting stories about the lands that belong to all of us
The new publication, from former Outside Magazine EIC Chris Keyes, will focus on longform stories about the 660 million acres of public lands and waters in the U.S.

Bigger is Faster in the Adaptive Immune Response
Jannatul Ferdous, G. Matthew Fricke, Judy L. Cannon, Melanie E. Moses
https://arxiv.org/abs/2510.09678 https://

Bigger is Faster in the Adaptive Immune Response
Zoonotic pathogens represent a growing global risk, yet the speed of adaptive immune activation across mammalian species remains poorly understood. Despite orders-of-magnitude differences in size and metabolic rate, we show that the time to initiate adaptive immunity is remarkably consistent across species. To understand this invariance, we analyse empirical data showing how the numbers and sizes of lymph nodes scale with body mass, finding that larger animals have both more and larger lymph no…

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
Shijie Yuan, Kevin Roberts, Noirrit Kiran Chandra, Yuan Ji, Peter M\"uller
https://arxiv.org/abs/2509.07267

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
We introduce a Bayesian nonparametric inference approach for aggregate adverse event (AE) monitoring across studies. The proposed model seamlessly integrates external data from historical trials to define a relevant background rate and accommodates varying levels of covariate granularity (ranging from patient-level details to study-level aggregated summary data). Inference is based on a covariate-dependent product partition model (PPMx). A central element of the model is the ability to group ex…

List Decoding Reed--Solomon Codes in the Lee, Euclidean, and Other Metrics
Chris Peikert, Alexandra Veliche Hostetler
https://arxiv.org/abs/2510.11453 https://

List Decoding Reed--Solomon Codes in the Lee, Euclidean, and Other Metrics
Reed--Solomon error-correcting codes are ubiquitous across computer science and information theory, with applications in cryptography, computational complexity, communication and storage systems, and more. Most works on efficient error correction for these codes, like the celebrated Berlekamp--Welch unique decoder and the (Guruswami--)Sudan list decoders, are focused on measuring error in the Hamming metric, which simply counts the number of corrupted codeword symbols. However, for some applica…