Tootfinder

Carney is a carbon industry plant.
nothing says environmental “blank cheque” to industry like: “voluntary certification program”.
"But operators have another compliance option, which some may find controversial because it could give industry players some more leeway. Operators can design their own approaches, providing a facility meets "methane intensity thresholds" that are on par with standards from "leading international voluntary certification programs.””
That's what private forest companies (Mosaic) on Vancouver Island use to claim they are following ‘best practices' as they clear cut whole sides of mountains and leave a 10m ‘riparian zone' around streams while falling trees right over them.
It's a license to make up their own rules and do whatever they want, wider impacts be damned.
#ClimateEmergency #CdnPoli #CanPoli #Carbon #Methane #Emissions #Oil #Gas

Structural, optical, and electrical properties of Cu-doped NiO films synthesized by spray pyrolysis for potential gas sensing applications
Eka Nurfani, Grace Grace, Mahardika Yoga Darmawan, Resti Marlina, Jumaeda Jatmika, Asnan Rinovian, Aditya Rianjanu
https://arxiv.org/abs/2509.24197

Structural, optical, and electrical properties of Cu-doped NiO films synthesized by spray pyrolysis for potential gas sensing applications
Cu-doped NiO thin films were deposited on ITO substrates via spray pyrolysis at 450 °C for 1.5 minutes. XRD confirmed a cubic NiO structure, with Cu incorporation reducing crystallite size, increasing interplanar spacing, and expanding the lattice parameter, indicating successful substitution of Cu ions. Optical analysis showed a slight bandgap reduction from 3.70 to 3.65 eV, while PL revealed lower emission intensity, suggesting enhanced defect states and suppressed carrier recombination. Ram…

Graphene and thin graphite films for ultrafast optical Kerr gating at 1 GHz repetition rate under focused illumination
Amr Farrag, Assegid M. Flatae, Mario Agio
https://arxiv.org/abs/2511.17713 https://arxiv.org/pdf/2511.17713 https://arxiv.org/html/2511.17713
arXiv:2511.17713v1 Announce Type: new
Abstract: The ability to address sub-picosecond events of weak optical signals is essential for progress in quantum science, nonlinear optics, and ultrafast spectroscopy. While up-conversion and optical Kerr gating (OKG) offer femtosecond resolution, they are generally limited to ensemble measurements, making ultrafast detection in nano-optics challenging. OKG, with its broadband response and high throughput without phase-matching, is especially promising when used at high repetition rates under focused illumination.
Here, we demonstrate an ultrafast detection scheme using the third-order nonlinearity of graphene and thin graphite films, operating at 1 GHz with sub-nanojoule pulses and achieving 141 fs temporal resolution. Their exceptionally large nonlinear refractive index, orders of magnitude higher than conventional Kerr media, enhances detection efficiency at smaller thicknesses, enables sub-picosecond response, and supports broadband operation. Their atomic-scale thickness minimizes dispersion and simplifies integration with microscopy platforms, optical fibers, and nanophotonic circuits, making them a compact, practical material platform for nano-optical and on-chip ultrafast Kerr gating.
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QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance
Haoxue Wang, Keli Wen, Yuante Li, Qiancheng Qu, Xiangxu Mu, Xinjie Shen, Jiaqi Gao, Chenyang Chang, Chuhan Xie, San Yu Cheung, Zhuoyuan Hu, Xinyu Wang, Sirui Bi, Bi'an Du
https://arxiv.org/abs/2509.21507

QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance
Quantitative research increasingly relies on unstructured financial content such as filings, earnings calls, and research notes, yet existing LLM and RAG pipelines struggle with point-in-time correctness, evidence attribution, and integration into research workflows. To tackle this, We present QuantMind, an intelligent knowledge extraction and retrieval framework tailored to quantitative finance. QuantMind adopts a two-stage architecture: (i) a knowledge extraction stage that transforms heterog…