Tootfinder

I guess some of the problems are in Chrome's PDF renderer. It looks better in Acrobat and Sumatra or at least the baselines are straight. Still not great, in Adobe bits of the fonts are broken like the bottoms of the bowl of e, u, and o. Sumatra looks almost OK actually, the heavier font rendering seems to help.

Perhaps the most interesting article I've read on Europe's efforts to decarbonise road transport, the controversy over electrification, the proposed alternatives, Chinese manufacturing and a way forward for Europe.
(article in French, screenshots translated with DeepL)
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Fin du véhicule thermique : pourquoi et comment y parvenir ? | Terra Nova
Dans le cadre de la campagne pour les élections européennes 2024, nous avons demandé à différents experts de formuler des recommandations sur plusieurs questions stratégiques pour l’avenir de l’Union européenne. Nous ouvrons cette série avec une contribution de Jean-Philippe Hermine, directeur de l’Institut Mobilités en Transition (IMT), à qui nous avons posé la question de la fin du véhicule thermique. Alors que certains émettent des doutes sur les orientations du Green Deal…

The second part of voyages around #Szczecin: Szczecin Zdroje (= springs, as in the source of water).
We're going to find two highlights around there: Park Leśny Zdroje (= Springs Forest Park), and Puszcza Bukowa (= Beechwood), with Bukowe Zdroje (= Beech Springs) reserve. I'm going to focus on the first one today. As for Puszcza Bukowa, I'm going to say only that it's a huge forest with lots of hills, and it's kinda like going to the mountains. You can spend hours there.
As for Park Leśny Zdroje, it's got interesting landscape too. I've photographed its four most important highlights (in my opinion) for your viewing pleasure:
1. Jezioro Szmaragdowe (= Emerald Lake), named after its characteristic water color. There's a walking path across its southern and eastern shore, as well as on top of the surrounding hills. However, there's also a lot of mosquitoes there.
2. "Oko na Szczecin" (= Eye on Szczecin) overview. Unfortunately, it's been overgrown badly with surrounding shrubs. Hard not to think that "the world has moved on".
3. A #tunnel of old mine railroad. It's in a middle of a slightly overgrown path in the middle of a gully. No rails remain, though.
4. Czanowskie Wzgórze (= Chan Hill?). A nice overlook over a cliff. This one's not overgrown at all; also has no protective railings, and the ground is declining towards the cliff. Just saying, as an acrophobic person.
#hiking

This https://arxiv.org/abs/2403.17416 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture collaborative signals within intricate user-item relationships via message-passing mechanisms. However, these GNN-based RS inadvertently introduce excess linear correlation between user and item embeddings, contradicting the goal of providing personalized recommendations. While existing research predominantly ascribes this…

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
Binggui Zhou, Xi Yang, Shaodan Ma, Feifei Gao, Guanghua Yang
https://arxiv.org/abs/2406.08887

Low-Overhead Channel Estimation via 3D Extrapolation for TDD mmWave Massive MIMO Systems Under High-Mobility Scenarios
In TDD mmWave massive MIMO systems, the downlink CSI can be attained through uplink channel estimation thanks to the uplink-downlink channel reciprocity. However, the channel aging issue is significant under high-mobility scenarios and thus necessitates frequent uplink channel estimation. In addition, large amounts of antennas and subcarriers lead to high-dimensional CSI matrices, aggravating the pilot training overhead. To systematically reduce the pilot overhead, a spatial, frequency, and tem…

This https://arxiv.org/abs/2404.14057 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
Background: Recent advancements in Artificial Intelligence (AI) contributed significantly to suicide assessment, however, our theoretical understanding of this complex behavior is still limited. Objective: This study aimed to harness AI methodologies to uncover hidden risk factors that trigger or aggravate suicide behaviors. Method: The primary dataset included 228,052 Facebook postings by 1,006 users who completed the gold-standard Columbia Suicide Severity Rating Scale. This dataset was analy…

Highly sensitive AuNCs@GSH/Ch-PtNPs metal nanoprobes for fluorescent and colorimetric dual-mode detection of ascorbic acid in drink
Wei Zheng
https://arxiv.org/abs/2406.03192

Highly sensitive AuNCs@GSH/Ch-PtNPs metal nanoprobes for fluorescent and colorimetric dual-mode detection of ascorbic acid in drink
Fluorescence detection is a commonly used analytical method with the advantages of fast response, good selectivity and low destructiveness. However, fluorescence detection, a single-mode detection method, has some limitations, such as background interference that affects the accuracy of the fluorescence signal, lack of visualization of the detection results, and low sensitivity for detecting low-concentration samples. In order to overcome the shortcomings of fluorescence single-mode detection, …

End-to-End Waveform and Beamforming Optimization for RF Wireless Power Transfer
Abdul Basit Khattak, Onel L. A. L\'opez, Amirhossein Azarbahram, Deepak Kumar, Matti Latva-aho
https://arxiv.org/abs/2405.05659

End-to-End Waveform and Beamforming Optimization for RF Wireless Power Transfer
Radio frequency (RF) wireless power transfer (WPT) is a key technology for future low-power wireless systems. However, the inherently low end-to-end power transfer efficiency (PTE) is challenging for practical applications. The main factors contributing to it are the channel losses, transceivers' power consumption, and losses related, e.g., to the digital-to-analog converter (DAC), high-power amplifier, and rectenna. Optimizing PTE requires careful consideration of these factors, motivating the…

Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters
Amirhossein Azarbahram, Onel L. A. L\'opez, Petar Popovski, Shashi Raj Pandey, Matti Latva-aho
https://arxiv.org/abs/2405.04218

Deep Reinforcement Learning for Multi-User RF Charging with Non-linear Energy Harvesters
Radio frequency (RF) wireless power transfer (WPT) is a promising technology for sustainable support of massive Internet of Things (IoT). However, RF-WPT systems are characterized by low efficiency due to channel attenuation, which can be mitigated by precoders that adjust the transmission directivity. This work considers a multi-antenna RF-WPT system with multiple non-linear energy harvesting (EH) nodes with energy demands changing over discrete time slots. This leads to the charging schedulin…

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
https://arxiv.org/abs/2403.17416

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
Collaborative filtering methods based on graph neural networks (GNNs) have witnessed significant success in recommender systems (RS), capitalizing on their ability to capture collaborative signals within intricate user-item relationships via message-passing mechanisms. However, these GNN-based RS inadvertently introduce excess linear correlation between user and item embeddings, contradicting the goal of providing personalized recommendations. While existing research predominantly ascribes this…