Strong mag. 5.1 earthquake – China: Southern Xinjiang To Gansu on Thursday, Sep 4, 2025, at 09:06 pm (GMT +8)

Published: 4 September 2025
Categories: Global Earthquake Activity

RSS feed source: Volcano Discovery.com--Global earthquake monitor

91 km (57 mi)

E of epicenter

Kuqa

(pop: 102,800)

III: Weak

Aksu Diqu, Xinjiang 155 km (97 mi)

SW of epicenter

Aksu

(pop: 535,700)

III: Weak

Xinjiang 161 km (100 mi)

S of epicenter

Aral

(pop: 260,000)

III: Weak

Aksu Diqu, Xinjiang 180 km (112 mi)

SW of epicenter

Aykol

(pop: 11,300)

III: Weak

Aksu Diqu, Xinjiang 191 km (119 mi)

N of epicenter

Kax

(pop: 23,500)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 196 km (122 mi)

N of epicenter

Baytokay

(pop: 19,200)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 200 km (124 mi)

N of epicenter

Samuyuzi

(pop: 19,600)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 202 km (126 mi)

NE of epicenter

Xinyuan

(pop: 282,700)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 204 km (126 mi)

N of epicenter

Yengitam

(pop: 24,800)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 204 km (127 mi)

N of epicenter

Weiwu’eryuqiwen

(pop: 18,700)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 210 km (131 mi)

N of epicenter

Arewusitang

(pop: 20,000)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 212 km (132 mi)

N of epicenter

Dongmazar

(pop: 11,900)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 214 km (133 mi)

N of epicenter

Onyar

(pop: 26,300)

III: Weak

Ili Kazak Zizhizhou, Xinjiang 215 km (133 mi)

N of epicenter

Mazha

(pop:

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Transforming CX with embedded real-time analytics 

Published: 4 September 2025
Categories: MIT Tech Review

RSS feed source: Volcano Discovery.com--Global earthquake monitor

During Black Friday in 2024, Stripe processed more than $31 billion in transactions, with processing rates peaking at 137,000 transactions per minute, the highest in the company’s history. The financial-services firm had to analyze every transaction in real time to prevent nearly 21 million fraud attempts that could have siphoned more than $910 million from its merchant customers. 

Yet, fraud protection is only one reason that Stripe embraced real-time data analytics. Evaluating trends in massive data flows is essential for the company’s services, such as allowing businesses to bill based on usage and monitor orders and inventory. In fact, many of Stripe’s services would not be possible without real-time analytics, says Avinash Bhat, head of data infrastructure at Stripe. “We have certain products that require real-time analytics, like usage-based billing and fraud detection,” he says. “Without our real-time analytics, we would not have a few

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