Tootfinder

Florida wildlife officials gave preliminary approval for the first black bear hunt since one 10 years ago that was halted early after more than 300 bears were killed in only two days.
The Florida Fish and Wildlife Conservation Commission voted 4-1 at a meeting in Ocala in favor of a bear hunt in December and annually into the future,
allowing the use of up to six dogs to corner the bears.
Methods could include bowhunting, similar to rules for hunting deer, and bear hunting…

Florida gives preliminary approval to controversial black bear hunt amid strong opposition
The Florida Fish and Wildlife Conservation Commission has given preliminary approval for a black bear hunt for December and into the future, which could eventually allow the use of up to six dogs to corner the bears and use of bowhunting. The commission voted 4-1 Wednesday on the proposal, which would be the first bear hunt since 2015 when more than 300 bears were killed in only two days. Hunt supporters say managing bear populations is key to preventing dangerous encounters with humans. Oppone…

Empirical Studies of Large Scale Environment Scanning by Consumer Electronics
Mengyuan Wang, Yang Liu, Haopeng Wang, Haiwei Dong, Abdulmotaleb El Saddik
https://arxiv.org/abs/2506.14771

Empirical Studies of Large Scale Environment Scanning by Consumer Electronics
This paper presents an empirical evaluation of the Matterport Pro3, a consumer-grade 3D scanning device, for large-scale environment reconstruction. We conduct detailed scanning (1,099 scanning points) of a six-floor building (17,567 square meters) and assess the device's effectiveness, limitations, and performance enhancements in diverse scenarios. Challenges encountered during the scanning are addressed through proposed solutions, while we also explore advanced methods to overcome them more e…

This https://arxiv.org/abs/2502.19213 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Framework for asset-liability management with fixed-term securities
We consider an optimal investment-consumption problem for a utility-maximizing investor who has access to assets with different liquidity and whose consumption rate as well as terminal wealth are subject to lower-bound constraints. Assuming utility functions that satisfy standard conditions, we develop a methodology for deriving the optimal strategies in semi-closed form. Our methodology is based on the generalized martingale approach and the decomposition of the problem into subproblems. We il…

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu, Xinyu Zhang, Xiao Zhang, Yong Liu
https://arxiv.org/abs/2506.14641

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
In-Context Learning (ICL) is an essential emergent ability of Large Language Models (LLMs), and recent studies introduce Chain-of-Thought (CoT) to exemplars of ICL to enhance the reasoning capability, especially in mathematics tasks. However, given the continuous advancement of model capabilities, it remains unclear whether CoT exemplars still benefit recent, stronger models in such tasks. Through systematic experiments, we find that for recent strong models such as the Qwen2.5 series, adding t…

A Point Cloud Completion Approach for the Grasping of Partially Occluded Objects and Its Applications in Robotic Strawberry Harvesting
Ali Abouzeid, Malak Mansour, Chengsong Hu, Dezhen Song
https://arxiv.org/abs/2506.14066

A Point Cloud Completion Approach for the Grasping of Partially Occluded Objects and Its Applications in Robotic Strawberry Harvesting
In robotic fruit picking applications, managing object occlusion in unstructured settings poses a substantial challenge for designing grasping algorithms. Using strawberry harvesting as a case study, we present an end-to-end framework for effective object detection, segmentation, and grasp planning to tackle this issue caused by partially occluded objects. Our strategy begins with point cloud denoising and segmentation to accurately locate fruits. To compensate for incomplete scans due to occlu…

"The ChargeWise California pilot found that dynamic price signals, combined with automated charging management, achieve up to 98% EV charging load delivered off-peak, above the 60-70% typically achieved by ToU tariffs."
https://www.current-new…

Dynamic price signals beat time-of-use tariffs for energy load management in US trial
A pilot programme funded by the California Energy Commission shows EV charging on dynamic price signals outperforms time-of-use (ToU) rates.

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Henry Hoffmann, Xin Liu
https://arxiv.org/abs/2506.11309

SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding
Low-latency decoding for large language models (LLMs) is crucial for applications like chatbots and code assistants, yet generating long outputs remains slow in single-query settings. Prior work on speculative decoding (which combines a small draft model with a larger target model) and tensor parallelism has each accelerated decoding. However, conventional approaches fail to apply both simultaneously due to imbalanced compute requirements (between draft and target models), KV-cache inconsistenc…

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
Yuyan Lin (Charlie), Hao Zhou (Charlie), Chengming Hu (Charlie), Xue Liu (Charlie), Hao Chen (Charlie), Yan Xin (Charlie), Jianzhong (Charlie), Zhang
https://arxiv.org/abs/2506.06519…

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
6G networks have become increasingly complicated due to novel network architecture and newly emerging signal processing and transmission techniques, leading to significant burdens to 6G network management. Large language models (LLMs) have recently been considered a promising technique to equip 6G networks with AI-native intelligence. Different from most existing studies that only consider a single LLM, this work involves a multi-LLM debate-based scheme for 6G network management, where multiple…

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management
Dongming Jin, Zhi Jin, Nianyu Li, Kai Yang, Linyu Li, Suijing Guan
https://arxiv.org/abs/2506.03946

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management
With the rapid growth of open-source ecosystems (e.g., Linux) and domain-specific software projects (e.g., aerospace), efficient management of reusable artifacts is becoming increasingly crucial for software reuse. The multi-level feature tree enables semantic management based on functionality and supports requirements-driven artifact selection. However, constructing such a tree heavily relies on domain expertise, which is time-consuming and labor-intensive. To address this issue, this paper pr…

The South Coast Air Quality Management District will hold a public hearing Friday on two proposed regulations designed to limit key pollutants that form smog.
If adopted, the rules would phase out the sale of gas-powered furnaces and water heaters in the region.
Officials say the plan is crucial for reducing air pollution and improving public health, while opponents fear higher consumer costs.

Regulators seek to phase out gas-powered appliances in Southern California
The South Coast Air Quality Management District is poised to vote on regulations that would limit emissions of nitrogen oxides — the key pollutants that form smog.