Tootfinder

Assist-As-Needed: Adaptive Multimodal Robotic Assistance for Medication Management in Dementia Care
Kruthika Gangaraju, Tanmayi Inaparthy, Jiaqi Yang, Yihao Zheng, Fengpei Yuan
https://arxiv.org/abs/2510.06633

Assist-As-Needed: Adaptive Multimodal Robotic Assistance for Medication Management in Dementia Care
People living with dementia (PLWDs) face progressively declining abilities in medication management-from simple forgetfulness to complete task breakdown-yet most assistive technologies fail to adapt to these changing needs. This one-size-fits-all approach undermines autonomy, accelerates dependence, and increases caregiver burden. Occupational therapy principles emphasize matching assistance levels to individual capabilities: minimal reminders for those who merely forget, spatial guidance for t…

“Honestly, I feel like web developers are constantly being gaslit into thinking that complex over-engineered solutions are the only option. When the discourse is being dominated by people invested in frameworks and libraries, all our default thinking will involve frameworks and libraries. That’s not good for users, and I don’t think it’s good for us either.”
Mic drop by @…

Simplify
Reminding myself just how much you can do with CSS these days.

House of Dynamite , recommended movie on Netflix about nuclear war in these times. Realistic, gives an impression how the bureaucracy works and how little time there is to decide. It also gives a good reminder there is no real effective defense against incoming ballistic missiles, at least not for 100%. When interested in the subject, this is also a good book to read, Nuclear War: A Scenario - Wikipedia

Nuclear War: A Scenario - Wikipedia

Moody Urbanity - Relations 👥
情绪化城市 - 关系 👥
📷 Minolta Hi-Matic AF
🎞️ Shanghai GP3 400 Pan
#filmphotography #Photography #blackandwhite

REMINDER: Influenza has everything needed to kill people every year and produce a global pandemic every few decades forever. What keeps it at a low “just the flu” level is vaccination. One thing that kept the most recent surges from being more like 1918 is the CDC. What is left of the CDC is inadequate to that task. https://m…

A quantum-coherent photon--emitter interface in the original telecom band
Marcus Albrechtsen, Severin Kr\"uger, Juan Loredo, Lucio Stefan, Zhe Liu, Yu Meng, Lukas L. Niekamp, Bianca F. Seyschab, Nikolai Spitzer, Richard J. Warburton, Peter Lodahl, Arne Ludwig, Leonardo Midolo
https://arxiv.org/abs/2510.09251

A quantum-coherent photon--emitter interface in the original telecom band
Quantum dots stand out as the most advanced and versatile light-matter interface available today. Their ability to deliver high-quality, high-rate, and pure photons has set benchmarks that far surpass other emitters. Yet, a critical frontier has remained elusive: achieving these exceptional capabilities at telecom wavelengths, bridging the gap to fiber-optic infrastructure and scalable silicon photonics. Overcoming this challenge demands high quality quantum materials and devices which, despite…

REMIND-PyPSA-Eur: Integrating power system flexibility into sector-coupled energy transition pathways
Adrian Odenweller, Falko Ueckerdt, Johannes Hampp, Ivan Ramirez, Felix Schreyer, Robin Hasse, Jarusch Muessel, Chen Chris Gong, Robert Pietzcker, Tom Brown, Gunnar Luderer
https://arxiv.org/abs/2510.04388

REMIND-PyPSA-Eur: Integrating power system flexibility into sector-coupled energy transition pathways
The rapid expansion of low-cost renewable electricity combined with end-use electrification in transport, industry, and buildings offers a promising path to deep decarbonisation. However, aligning variable supply with demand requires strategies for daily and seasonal balancing. Existing models either lack the wide scope required for long-term transition pathways or the spatio-temporal detail to capture power system variability and flexibility. Here, we combine the complementary strengths of REM…

Enhanced Matter Power Spectrum from Axion Kination after Big Bang Nucleosynthesis
Raymond T. Co, Nicolas Fernandez, Akshay Ghalsasi, Keisuke Harigaya, Jessie Shelton
https://arxiv.org/abs/2510.01308

Enhanced Matter Power Spectrum from Axion Kination after Big Bang Nucleosynthesis
Despite stringent constraints from Big Bang Nucleosynthesis (BBN) and cosmic microwave background (CMB) observations, it is still possible for well-motivated particle physics models to substantially alter the cosmic expansion history between BBN and recombination. In this work we consider two different axion models that can realize a period of first matter domination, then kination, in this epoch. We perform fits to both primordial element abundances as well as CMB data and determine that up to…

No Observational Evidence for Dark Matter Nor a Large Metallicity Spread in the Extreme Milky Way Satellite Ursa Major III / UNIONS 1
William Cerny, Daisy Bissonette, Alexander P. Ji, Marla Geha, Anirudh Chiti, Simon E. T. Smith, Joshua D. Simon, Andrew B. Pace, Evan N. Kirby, Kim A. Venn, Ting S. Li, Alice M. Luna
https://arxiv.org/abs/25…

No Observational Evidence for Dark Matter Nor a Large Metallicity Spread in the Extreme Milky Way Satellite Ursa Major III / UNIONS 1
The extremely-low-luminosity, compact Milky Way satellite Ursa Major III / UNIONS 1 (UMaIII/U1; $L_V = 11 \ L_{\odot}$; $a_{1/2} = 3$ pc) was found to have a substantial velocity dispersion at the time of its discovery ($σ_v = 3.7^{+1.4}_{-1.0} \rm \ km \ s^{-1}$), suggesting that it might be an exceptional, highly dark-matter-dominated dwarf galaxy with very few stars. However, significant questions remained about the system's dark matter content and nature as a dwarf galaxy due to the small …

Accelerated Discovery of High-\k{appa} Oxides with Physics-Based Factorized Machine Learning
Atsushi Takigawa, Shin Kiyohara, Yu Kumagai
https://arxiv.org/abs/2509.26022 https:/…

Accelerated Discovery of High-\k{appa} Oxides with Physics-Based Factorized Machine Learning
Considerable effort continues to be devoted to the exploration of next-generation high-\k{appa} materials that combine a high dielectric constant with a wide band gap. However, machine learning (ML)-based virtual screening has remained challenging, primarily due to the low accuracy in predicting the ionic contribution to the dielectric tensor, which dominates the dielectric performance of high-\k{appa} materials. We here propose a joint ML model that predicts Born effective charges using an equ…