Tootfinder

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Md. Saif Hassan Onim, Andrew M. Kiselica, Himanshu Thapliyal
https://arxiv.org/abs/2507.08167

Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Emotion detection in older adults is crucial for understanding their cognitive and emotional well-being, especially in hospital and assisted living environments. In this work, we investigate an edge-based, non-obtrusive approach to emotion identification that uses only physiological signals obtained via wearable sensors. Our dataset includes data from 40 older individuals. Emotional states were obtained using physiological signals from the Empatica E4 and Shimmer3 GSR+ wristband and facial expr…

I am doing my usual late catch up of @…'s most excellent #ThePlaylist podcast, and I was shocked - Shocked I say! - to hear him say he almost forgot all about Grange Hill.
I'm taking this personally you know.

Tunable Interfacial Thermal Conductance in Graphene/Germanene van der Waals Heterostructure using an Optimized Interlayer Potential
Sapta Sindhu Paul Chowdhury, Sourav Thapliyal, Bheema Lingam Chittari, Santosh Mogurampelly
https://arxiv.org/abs/2508.07614

Tunable Interfacial Thermal Conductance in Graphene/Germanene van der Waals Heterostructure using an Optimized Interlayer Potential
Accurately modeling interfacial thermal transport in van der Waals heterostructures is challenging due to the limited availability of interlayer interaction potentials. We develop a pairwise interlayer potential for graphene/germanene van der Waals heterostructure using the binding energy obtained from ab-initio density functional theory calculations and use it to calculate the interfacial thermal conductivity. Our calculations reveal that the interfacial thermal conductivity shows superior tun…

For this week's #ThePlaylistSuggestion I'd like to put forward Pretty in Pink by the Psychedelic Furs. It's the only song with "Caroline" in its lyrics that an ex-girlfriend of mine (called Caroline, who would have thought?) would ever listen to. The rest of them drove her into fits of unimaginable fury.
Also it's a damn good song!

@…
İlginizi çekebilir:
https://www.comaps.app/tr/

Has anyone proposed this yet for #ThePlaylistSuggestion? If not I would like to put forward Arrow's most excellent tune "Hot Hot Hot" as my poor choice of song for a funeral playlist. @…

Quantum Transfer Learning to Boost Dementia Detection
Sounak Bhowmik, Talita Perciano, Himanshu Thapliyal
https://arxiv.org/abs/2507.12485 https://

Quantum Transfer Learning to Boost Dementia Detection
Dementia is a devastating condition with profound implications for individuals, families, and healthcare systems. Early and accurate detection of dementia is critical for timely intervention and improved patient outcomes. While classical machine learning and deep learning approaches have been explored extensively for dementia prediction, these solutions often struggle with high-dimensional biomedical data and large-scale datasets, quickly reaching computational and performance limitations. To a…

To while away the many, many hours in the garden I decided to catch up on episodes of #ThePlaylist that I'd missed. So a huge thank you to @… and/or @… for getting all the archive shows into a nice easy location where my podcast app thingy just picks them up.

Transitioning from Silicon to Carbon Nanotube based transistors
Suhas Bharadwaj, Reuben Thomas Thovelil, Rohith Chembattammal, Sradha Mishra, Sunit Sahoo, Himnish Dave, Karthik S., Kabir Jaisinghani
https://arxiv.org/abs/2509.00947

Transitioning from Silicon to Carbon Nanotube based transistors
Carbon Nanotubes have shown to be an attractive option in the race to find a replacement to silicon-based transistors, due to its high electrical conductivity, extraordinary mechanical strength, and thermal conductivity. However, challenges with regards to controlling the purity and chirality of CNTs have raised doubts if the mass production of these transistors are even viable. This paper explores the challenges of scalability and proposes methods such as Liquid and Gas phase oxidative methods…

Qrisp Implementation and Resource Analysis of a T-Count-Optimised Non-Restoring Quantum Square-Root Circuit
Heorhi Kupryianau, Marcin Niemiec
https://arxiv.org/abs/2507.12603

Qrisp Implementation and Resource Analysis of a T-Count-Optimised Non-Restoring Quantum Square-Root Circuit
Efficient quantum arithmetic operations are essential building blocks for complex quantum algorithms, yet few theoretical designs have been implemented in practical quantum programming frameworks. This paper presents the first complete implementation of the T-count optimized non-restoring quantum square root algorithm using the Qrisp quantum programming framework. The algorithm, originally proposed by Thapliyal et al., offers better resource efficiency compared to alternative methods, achieving…