Tootfinder

"New research confirms residential PV tends to increase household power consumption"
#SolarPower #Energy #Renewables

New research confirms residential PV tends to increase household power consumption
New Swiss research shows PV-powered homes can increase power consumption by up to 11% compared to non-solar households. This rise is linked to electric vehicle adoption or other high-usage appliances, which the study’s author notes is not inherently negative or wasteful.

Potatoes are mutant hybrids with... tomatoes.
https://edition.cnn.com/2025/07/31/science/potato-evolution-origins-tomato

The modern potato evolved from a wild tomato fling 9 million years ago, scientists say
A chance encounter between a wild tomato and a potato-like plant 9 million years ago is why we have modern-day potatoes, according to new research.

This https://arxiv.org/abs/2505.08052 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition
This study formalizes a computational model to simulate classical Persian poets' dynamics of influence through constructing a multi-dimensional similarity network. Using a rigorously curated dataset based on Ganjoor's corpus, we draw upon semantic, lexical, stylistic, thematic, and metrical features to demarcate each poet's corpus. Each is contained within weighted similarity matrices, which are then appended to generate an aggregate graph showing poet-to-poet influence. Further network investi…

Is anyone aware of publications or research on what sort of bugs LLM-generated or LLM-assisted code tends to have?
Like, we have a huge body of knowledge in the security community about how to audit human-generated codebases for the types of bugs that human developers commonly write.
But we don't have that kind of data yet (AFAIK) for the vibe-coded monstrosities all of us are going to be pentesting soon.
Gut feelings:
* There are some common threads and patterns …

Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ing\'enieurs du Qu\'ebec (OIQ)
Tammy Mackenzie, Varsha Kesavan, Thomas Mekhael, Animesh Paul, Branislav Radeljic, Sara Kodeiri, Sreyoshi Bhaduri
https://arxiv.org/abs/2506.19775

Canary in the Mine: An LLM Augmented Survey of Disciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ)
This study uses pre-trained LLMs to conduct thematic analysis to investigate disciplinary incidents involving engineers in Quebec, shedding light on critical gaps in engineering education. Through a comprehensive review of the disciplinary register of the Ordre des ingénieurs du Québec (OIQ)'s disciplinary register for 2010 to 2024, researchers from engineering education and human resources management in technological development laboratories conducted a thematic analysis of reported incident…

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study
Karisa Parkington, Bazen G. Teferra, Marianne Rouleau-Tang, Argyrios Perivolaris, Alice Rueda, Adam Dubrowski, Bill Kapralos, Reza Samavi, Andrew Greenshaw, Yanbo Zhang, Bo Cao, Yuqi Wu, Sirisha Rambhatla, Sridhar Krishnan, Venkat Bhat
https:/…

Human vs. LLM-Based Thematic Analysis for Digital Mental Health Research: Proof-of-Concept Comparative Study
Thematic analysis provides valuable insights into participants' experiences through coding and theme development, but its resource-intensive nature limits its use in large healthcare studies. Large language models (LLMs) can analyze text at scale and identify key content automatically, potentially addressing these challenges. However, their application in mental health interviews needs comparison with traditional human analysis. This study evaluates out-of-the-box and knowledge-base LLM-based t…

Differential Equation-Constrained Local Regression for Data with Sparse Design
Chunlei Ge, W. John Braun
https://arxiv.org/abs/2507.06409 https://

Differential Equation-Constrained Local Regression for Data with Sparse Design
Local polynomial regression of order one or higher often performs poorly in areas with sparse data. In contrast, local constant regression tends to be more robust in these regions, although it is generally the least accurate approach, especially near the boundaries of the data. Incorporating information from differential equations, which may approximately or exactly hold, is one way of extending the sparse design capacity of local constant regression while reducing bias and variance. A nonparam…

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Varun Srivastava, Fan Lei, Srija Mukhopadhyay, Vivek Gupta, Ross Maciejewski
https://arxiv.org/abs/2507.11625

MapIQ: Benchmarking Multimodal Large Language Models for Map Question Answering
Recent advancements in multimodal large language models (MLLMs) have driven researchers to explore how well these models read data visualizations, e.g., bar charts, scatter plots. More recently, attention has shifted to visual question answering with maps (Map-VQA). However, Map-VQA research has primarily focused on choropleth maps, which cover only a limited range of thematic categories and visual analytical tasks. To address these gaps, we introduce MapIQ, a benchmark dataset comprising 14,70…

2/4 Perfect for scenarios where certain errors like "user not found" shouldn't waste infrastructure resources on pointless retries, while still allowing retries for transient network issues like #API timeouts or connection problems.

Artificial Intelligence and Journalism: A Systematic Bibliometric and Thematic Analysis of Global Research
Mohammad Al Masum Molla, Md Manjurul Ahsan
https://arxiv.org/abs/2507.10891

Artificial Intelligence and Journalism: A Systematic Bibliometric and Thematic Analysis of Global Research
Artificial Intelligence (AI) is reshaping journalistic practices across the globe, offering new opportunities while raising ethical, professional, and societal concerns. This study presents a comprehensive systematic review of published articles on AI in journalism from 2010 to 2025. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a total of 72 peer-reviewed articles were selected from Scopus and Web of Science databases. The analysis c…