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On Website Technicals (2019-01) - Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited. - https://www.earth.org.uk/note-on-site-technicals-20.html

On Website Technicals (2019-01)
Tech updates: Happy New Ear, cssgip, work storage, AMP srcset, LEDs, details, 400kpx image warning, bad AutoAd, indigestion, multi-hero, OGP revisited.

Sources: China held talks about merging a group of chip equipment makers into a national champion but faced pushback over ownership structure and valuation (Financial Times)
https://www.ft.com/content/579fbffe-9add-466a-8d72-31d12151c040

BaroPoser: Real-time Human Motion Tracking from IMUs and Barometers in Everyday Devices
Libo Zhang, Xinyu Yi, Feng Xu
https://arxiv.org/abs/2508.03313 https://

BaroPoser: Real-time Human Motion Tracking from IMUs and Barometers in Everyday Devices
In recent years, tracking human motion using IMUs from everyday devices such as smartphones and smartwatches has gained increasing popularity. However, due to the sparsity of sensor measurements and the lack of datasets capturing human motion over uneven terrain, existing methods often struggle with pose estimation accuracy and are typically limited to recovering movements on flat terrain only. To this end, we present BaroPoser, the first method that combines IMU and barometric data recorded by…

2,750 store global mall retailer with over 200 stores in UK files another #Chapter11 #bankruptcy proceeding , it's second since #prepandemic 2018.
Claire’s Holdings LLC retail brand focused on

🌝 Solar powered moon brick factory could build future lunar cities
#space

Solar powered moon brick factory could build future lunar cities
Chinese scientists have developed a remarkable machine that could revolutionize how humans build structures on the moon. The device works like a 3D printer powered by concentrated sunlight, turning lunar soil (known as regolith) into strong construction bricks without needing any materials from Earth.

A fluid--peridynamic structure model of deformation and damage of microchannels
Ziyu Wang, Ivan C. Christov
https://arxiv.org/abs/2508.02875 https://arxiv.…

A fluid--peridynamic structure model of deformation and damage of microchannels
Soft-walled microchannels arise in many applications, ranging from organ-on-a-chip platforms to soft-robotic actuators. However, despite extensive research on their static and dynamic response, the potential failure of these devices has not been addressed. To this end, we explore fluid--structure interaction in microchannels whose compliant top wall is governed by a nonlocal mechanical theory capable of simulating both deformation and material failure. We develop a one-dimensional model by coup…

Ich frage mich, warum die Post in Österreich und Deutschland laufend die Porti erhöhen kann, obwohl die Leistung kontinuierliche mieser wird.
Den Preiserhöhungen steht kein Leistungszuwachse gegenüber.
Vielmehr sollte die Post angesichts massenhafter Beschwerden dazu gebracht werden, Preise zu senken und Strafzahlungen zu leisten.
Die #POST hat ein riesiges Problem und lässt sich Untäti…

Cowboys Decided to Trade Micah Parsons Before He Requested Out https://www.foxsports.com/stories/nfl/cowboys-decided-trade-micah-parsons-before-he-requested-out

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
Tongshun Zhang, Pingping Liu, Zhe Zhang, Qiuzhan Zhou
https://arxiv.org/abs/2508.03338 htt…

CIVQLLIE: Causal Intervention with Vector Quantization for Low-Light Image Enhancement
Images captured in nighttime scenes suffer from severely reduced visibility, hindering effective content perception. Current low-light image enhancement (LLIE) methods face significant challenges: data-driven end-to-end mapping networks lack interpretability or rely on unreliable prior guidance, struggling under extremely dark conditions, while physics-based methods depend on simplified assumptions that often fail in complex real-world scenarios. To address these limitations, we propose CIVQLLI…

Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
Shivangi Nigam, Adarsh Prasad Behera, Shekhar Verma, P. Nagabhushan
https://arxiv.org/abs/2508.03415

Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
This paper presents Fd-CycleGAN, an image-to-image (I2I) translation framework that enhances latent representation learning to approximate real data distributions. Building upon the foundation of CycleGAN, our approach integrates Local Neighborhood Encoding (LNE) and frequency-aware supervision to capture fine-grained local pixel semantics while preserving structural coherence from the source domain. We employ distribution-based loss metrics, including KL/JS divergence and log-based similarity …