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China set to open world’s tallest bridge, expanding infrastructure push
China will open the world’s tallest bridge this month,
besting its own record with a structure that can fit almost two Eiffel Towers beneath it.

The Huajiang Grand Canyon Bridge in southwestern Guizhou,
one of China’s poorest provinces,
stands a staggering 2,050 feet above ground,
making it almost twice the height of Paris’s landmark tower.

It stretches 9,481 feet end to end, ac…

China set to open world’s tallest bridge, expanding infrastructure push
The Huajiang Grand Canyon Bridge can fit almost two Eiffel Towers under it and will be touted as evidence of China’s engineering prowess when it opens this month.

First impressions of the Douro Valley: how did I not hear of this place sooner? #portugal #hiking

Freezing rent is easy. Making NYC housing affordable isn’t.
https://www.japantimes.co.jp/commentary/2025/07/28/world/freezing-nyc-rent/
🆓

Freezing rent is easy. Making NYC housing affordable isn’t.
Zohran Mamdani’s campaign pledge would be simple to put into effect but wouldn’t do much to solve the underlying problem.

Strong lensing and Hawking spectra of charged black hole under Lorentz violation theory
Yenshembam Priyobarta Singh, Ningthoujam Media, Telem Ibungochouba Singh
https://arxiv.org/abs/2508.09864

Strong lensing and Hawking spectra of charged black hole under Lorentz violation theory
In this paper, we investigate the strong gravitational lensing effects around the Reissner-Nordstr{ö}m-like black hole (RN-like BH) in bumblebee gravity. We calculate the lensing quantities such as deflection angle, radius of the photon sphere, angular separation, relativistic image characteristics, Einstein ring and time delay. By taking the supermassive black holes (SMBHs) like Sgr A*, M87*, NGC 1332, NGC 4649 etc. as RN-like BH, we compute the lensing observables and compare with the observ…

Pricing and hedging the prepayment option of mortgages under stochastic housing market activity
Leonardo Perotti, Lech A. Grzelak, Cornelis W. Oosterlee
https://arxiv.org/abs/2507.08641

Pricing and hedging the prepayment option of mortgages under stochastic housing market activity
Prepayment risk embedded in fixed-rate mortgages forms a significant fraction of a financial institution's exposure. The embedded prepayment option bears the same interest rate risk as an exotic interest rate swap with a suitable stochastic notional. Focusing on penalty-free prepayment because of the contract owner's relocation to a new house, we model the prepayment option value as an European-type interest rate receiver swaption with stochastic maturity matching the stochastic time of relocat…

"Appointed by Starmer as his undersecretary of state for homelessness and democracy she could have been a trailblazer for reform in the housing sector. She could have championed the return of sold-off council houses to the public sector. She might have persuaded the Cabinet to introduce rent controls to drive private-sector rents down to affordable levels."
The Rushanara Ali case is a spotlight on a broken housing sector | Morning Star

Cybercriminals are using AI to execute highly targeted attacks at scale, causing people to unwittingly send money and sensitive information or simply open themselves up to theft.
Hackers are now able to rent generative AI large language models created in the underground cybercrime community to help formulate text-based scams.
But just as generative AI is enhancing and scaling social engineering attacks, so too is it giving defenders a leg up.

The hacking underworld has removed all of AI's guardrails, but the good guys are closing in
Fake Taylor Swift ads and malicious QR codes are just some of the newest ways cybercriminals are using AI as the cat-and-mouse cybersecurity game heats up.

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy, Toby D. Hocking
https://arxiv.org/abs/2509.09413

Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Co-occurrence network inference algorithms have significantly advanced our understanding of microbiome communities. However, these algorithms typically analyze microbial associations within samples collected from a single environmental niche, often capturing only static snapshots rather than dynamic microbial processes. Previous studies have commonly grouped samples from different environmental niches together without fully considering how microbial communities adapt their associations when fac…