Author: Kathir J

SHENZHEN, China / Timesnewswire / August 28, 2026 – Saturday morning. A 2017 Honda CR-V rolls into the driveway with the check-engine light on and a vague shudder at idle. The owner already owns a diagnostic tablet. He plugs in, reads two codes — P0420 and P0171 — and then hits the familiar dead end: a forum thread from 2019, a video that doesn’t quite match, and a guess.

That guess is the real cost of DIY diagnosis. Not the tool — the uncertainty. It is also the question more car owners are now asking out loud: is AI car diagnostics actually worth it for someone who isn’t a professional technician?

For THINKCAR, the answer is yes — provided the AI does three things a code reader never could: explain the code, rank what is most likely wrong, and turn a diagnostic scan into a guided repair path. That is the design line behind Tyler, THINKCAR’s on-device AI diagnostic agent.

From code reader to a diagnostic solution

Most budget scanners stop where the owner’s confidence stops: they display a fault code and a short definition pulled from a generic database. A P0420 is “catalyst system efficiency below threshold.” True — and useless without the next step. Tyler is built to take that next step. Powered by ThinkMind, THINKCAR’s in-house automotive large model, and orchestrated by ThinkClaw, Tyler analyzes the vehicle’s fault codes, live sensor context, and service history, then cross-references two independent layers of authoritative data — OEM repair databases and a knowledge base of over 100 million diagnostic data records and cases — to surface ranked, explained possibilities rather than a single unverified verdict.

A basic code reader	Tyler-powered THINKCAR scanner
Shows a fault code and a generic definition, then stops	Explains the code in plain language and ranks the most likely causes
One unverified possible meaning, no ranking or evidence	Surfaces ranked, explained possibilities with cited data
Owner searches forums or watches mismatched videos	Tyler guides a repair path via voice and photo input
Blind parts purchases and guesswork	Informed part orders and fewer unnecessary shop trips

The cases a code reader misses

Hard-to-find issues are where the gap shows. Intermittent faults that never set a steady code. A warning light the owner can’t name. A symptom — a cold-start knock, a fuel smell — with no code at all. Tyler’s low-barrier smart-diagnosis capability is built for exactly this: an AI symptom interview walks the owner through what they are experiencing, and dashboard warning-light recognition lets the owner simply photograph the cluster. Multimodal input means the car can be described in words and pictures, not just in P-codes — useful for the systems that are hardest to diagnose, from hybrid drivetrains to CAN-bus communication faults.

What “worth it” actually means

No AI replaces a shop when the job is physical — a catalytic converter still has to be unbolted. But for the questions owners ask most — what is likely wrong, is it safe to drive, what part do I actually need, should I book a shop or can I handle it — Tyler turns hours of forum-scrolling into minutes, and turns blind parts purchases into informed ones. It helps owners avoid unnecessary part orders and the diagnostic trip that comes with guessing wrong. The value is not “AI instead of a mechanic.” It is “fewer wrong turns before you ever reach the mechanic.”

Why THINKCAR, and not a general chatbot

Tyler is not a general-purpose model with an automotive skin. It is built on ThinkMind, developed in-house by engineers who understand diagnostics, and draws on a knowledge base of over 100 million diagnostic data records and cases — part of a global diagnostic ecosystem spanning 215+ countries and regions and serving 2.4 million users (based on THINKCAR internal data). It also draws on 48 million EPC records with 98%+ vehicle coverage, so parts data lives inside the diagnostic flow, and references 375,000 standardized repair procedures through THINKCAR’s partnership with Solera AutoData. That combination — a purpose-built model, real diagnostic data, and structured repair knowledge — is the moat a general AI assistant cannot shortcut.

AI is already proven where diagnosis is high-stakes

AI reading complex signals to find faults is not a bet THINKCAR is making alone. In medicine — the field where diagnostic error is most costly — deep learning has already moved from lab to clinic. A 2020 Nature study of a Google Health mammography AI showed it reduced false positives by up to 5.7% and false negatives by up to 9.4% versus expert radiologists, and in a simulated double-reading setting it cut the second reader’s workload by 88% while holding non-inferior accuracy. A 2016 JAMA study trained a model on more than 128,000 retinal images to detect diabetic retinopathy with sensitivity above 96% and specificity above 93% — performance that led, in 2018, to the first FDA-cleared autonomous AI diagnostic device, letting primary-care clinics screen patients without an ophthalmologist on site. The pattern is the same one Tyler applies to a car: a purpose-built model reads the signals, ranks what is most likely wrong, and hands back a reasoned readout instead of a dead end.

What to expect — and what not to

Honest expectations matter. In THINKCAR’s internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and fault-prediction exceeds 85%, both improving as the data foundation grows — but accuracy depends on vehicle coverage, data quality, and fault type, and it is not “100% certain.” Tyler is a diagnostic aid, not a verdict: the final call stays with the owner and, for any repair, a qualified technician. Fault prediction is a risk reference, not a substitute for inspection; vehicle valuation is a price reference, not a promise; and coverage of very rare models or brand-new fault patterns is still limited. The point is not that Tyler is infallible. The point is that it shows its work — so the owner can decide with more information, not less.

“Tyler doesn’t replace the shop or the owner’s judgment — it replaces the dead time spent decoding what the car is trying to say,” said Peter, VP of THINKCAR’s Diagnosis Business Center.

The technician in the shop and the owner in the driveway face the same wall: more data than they can use. Tyler’s job is to hand back fewer questions and more answers. You wrench. Tyler handles the rest.

Frequently Asked Questions

Is AI car diagnostics worth it for DIY owners?

Yes — when the AI explains the code, ranks the most likely causes, and turns a scan into a guided repair path. Tyler does all three, so DIY owners get answers instead of a dead end.

Can AI replace a mechanic or technician?

No. Tyler is a diagnostic aid, not a verdict. For any physical repair, the final call stays with the owner and a qualified technician.

What makes Tyler different from a general chatbot?

Tyler runs on ThinkMind, THINKCAR’s in-house automotive large model, and draws on a knowledge base of over 100 million diagnostic records and cases plus 48 million EPC records — a purpose-built model a general AI cannot shortcut.

How accurate is AI car diagnostics?

In THINKCAR internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and fault-prediction exceeds 85%, both improving with the data foundation — but it is not 100% certain and depends on vehicle coverage and fault type.

Can Tyler help when there is no fault code?

Yes. An AI symptom interview and dashboard warning-light photo recognition let owners describe problems in words and pictures, not just P-codes — useful for intermittent faults and symptoms with no code.

About THINKCAR

Founded in 2019, THINKCAR is a leading provider of AI-powered automotive diagnostic solutions. With AI patents and a nationally recognized automotive AI algorithm, THINKCAR serves 2.4 million users across 215+ countries and regions. Its product ecosystem spans 8 categories including diagnostic tools, TPMS, ADAS calibration, EV diagnostics, and remote service platforms.

The T394 AI, its flagship Tyler-powered tablet, will be available through authorized dealers — visit thinkcar.com for details. Separately, the THINKSCAN 689BT PRO and MUCAR 892BT PRO — a more affordable Tyler-powered alternative to the flagship T394 AI — are sold online via mythinkcar.com

Media Contact

Lynn Liao

Official Media Relations: Marketing@thinkcar.com

Website: thinkcar.com

Sources & Methodology

Diagnostic data scale (over 100 million records and cases), user and coverage figures (2.4 million users; 215+ countries and regions), and accuracy figures (fault diagnosis >95%, fault prediction >85%) are based on THINKCAR internal data and internal testing. EPC coverage (48 million records; 98%+) is based on THINKCAR internal data. Repair-procedure data (375,000 standardized procedures) is provided through THINKCAR’s partnership with Solera AutoData. Product availability is subject to region; the T394 AI will be available through authorized dealers.

External benchmarks: McKinney et al., “International evaluation of an AI system for breast cancer screening,” Nature 577, 89–94 (2020), DOI 10.1038/s41586-019-1799-6; Gulshan et al., “Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs,” JAMA 316(22), 2402–2410 (2016), DOI 10.1001/jama.2016.17216. The IDx-DR system received U.S. FDA De Novo clearance in 2018 (FDA news release, April 11, 2018).

THINKCAR’s on-device AI agent Tyler surfaces ranked, evidence-backed fault possibilities on the THINKCAR T394 AI tablet — shipments expected soon through authorized dealers.

SHENZHEN, China — August 24, 2026 — The auto-repair world is now crowded with AI diagnostic tools promising instant, certain answers. Too many deliver the opposite: a single confident-sounding verdict with no source and no ranking, nudging technicians toward the wrong fix. THINKCAR took a different path — and built Tyler to be the diagnostic partner that shows its work.

The short answer: AI vehicle diagnosis is accurate as a diagnostic aid that surfaces possible fault causes and structured troubleshooting steps from OEM-grade data — not as a replacement for technician judgment. THINKCAR’s on-device AI agent, Tyler — powered by ThinkMind, the company’s proprietary automotive diagnostic large model — is engineered on that principle: transparency over theater, evidence over assertion.

That claim is not THINKCAR’s alone. Independent, peer-reviewed research has already pushed AI-based automotive fault diagnosis to high measured accuracy on benchmark tasks — and, just as important, has made explainability a research priority. A 2025 study in MDPI Electronics built a hybrid deep-learning model for multiple-fault diagnosis in automotive electronic systems and reported 96.8% fault-identification accuracy, using explainable-AI techniques to make the diagnostic logic visible to technicians. A 2026 study in Nature’s Scientific Reports reported 99.15% accuracy for AI-based fault identification on new-energy-vehicle telemetry data. The throughline of that body of work — high accuracy paired with transparent reasoning — is the same design principle Tyler is built on.

The problem with “smart” diagnostics today

AI diagnostic assistants have arrived quickly — and so has the overclaiming. Some tools return one unverified answer for a fault code, presented as fact, with no ranking and no cited source. For a working technician, that is a real hazard: a wrong guess sent to the parts counter means a comeback, a lost afternoon, and a customer who stops trusting the shop. THINKCAR’s engineering team chose not to build that kind of tool.

How Tyler works — and why it is different

Tyler does not guess a single fault. It analyzes a vehicle’s fault codes, system topology, and service history, then cross-references two independent layers of authoritative data: OEM repair databases and official recall alerts, safety investigations, complaints, and vehicle safety ratings. The output is a prioritized list — the most probable cause is surfaced first, and the remaining possibilities are ranked by likelihood — each paired with its diagnostic trouble codes (DTCs) and a recommended inspection sequence.

That dual-authority foundation is what sets a rigorous diagnostic agent apart from a black box. Where some tools return one unverified answer, Tyler surfaces ranked possibilities, each with the evidence behind it.

What sets Tyler apart from other AI diagnostic tools

It executes, not just answers. Most AI diagnostic tools are essentially “shell” Q&A wrappers — able to look up information and chat about faults, but little more. Powered by ThinkClaw’s multi-intent task orchestration, Tyler can take one spoken instruction and break it into steps it carries out itself — adjust the screen brightness, run a system scan, generate the report — moving from “telling you the answer” to “doing the job for you.”

It delivers a solution, not just a code read. Where others stop at reporting a fault code, Tyler keeps going: root-cause analysis, priority ranking, and executable repair steps, automatically linking the relevant EPC parts, circuit diagrams, and repair cases — carrying the technician from “finding the problem” straight to “solving it.”

It has a moat, not a general-purpose model. Behind Tyler is THINKCAR’s proprietary automotive diagnostic large model, ThinkMind, built on a Multi-Agent architecture and drawing on a knowledge base of over 100 million diagnostic data records and cases — part of a global diagnostic ecosystem spanning 215 countries and regions and serving 2.4 million users (based on THINKCAR internal data) — developed by engineers who actually understand diagnostics. A general AI company cannot replicate that in the short term.

“Accurate” means “possible causes,” not verdicts

THINKCAR’s AI engineering team is explicit about the boundary. They note:

“AI accuracy can’t be captured by a single headline number across every vehicle and fault type — but in THINKCAR’s internal testing on covered models, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data grows. The AI is designed to assist technicians in narrowing down faults — not to replace the diagnostic process. What Tyler outputs are possible fault causes, not a declaration that a specific fault is certain. Multiple possible causes may be listed, and the AI supplies the troubleshooting steps and methods to check each one.”

A fault code such as P0301 can stem from a spark plug, an ignition coil, a fuel injector, or a compression problem. Tyler’s role is to organize those possibilities and the verification procedure — the confirmation stays with the technician and the vehicle in front of them.

A workshop, in practice

Consider a cylinder-1 misfire. Without structured aid, a technician may flip through manuals and forums, swapping parts by intuition. With Tyler, the most probable cause appears first and the remaining possibilities are ranked by likelihood; a hands-free inspection path opens the moment “Hi, Tyler” is spoken — the technician validates against the live vehicle, rules causes in or out, and orders only what is needed.

The downstream effect is the point: faster first-pass triage, fewer unnecessary parts replaced, and fewer comebacks. Less-experienced technicians can follow a structured path instead of guessing. Shops can move more vehicles with steadier confidence — and protect the customer trust that keeps them coming back.

Where the technician stays in command

Every Tyler output is a report or recommendation for review, not an automated action. Voice workflows let a technician initiate a full-system scan, read DTCs, or pull service history hands-free — but interpretation and the repair decision remain with the professional. Predictive features, such as maintenance-mileage alerts and mileage-interval fault-risk estimates, are probability-based planning aids, not certainties.

What Tyler does on the T394 AI

On the THINKCAR T394 AI diagnostic tablet, where Tyler debuts, the agent consolidates ten capabilities:
• Tyler Agent multimodal interaction
• ThinkClaw multi-intent parsing and task orchestration
• One-tap AI Diagnosis
• AI Diagnostic Analysis (deep fault analysis)
• AI Repair-Step Guidance with smart linking
• Dual-screen Tyler AI Diagnosis
• AI Fault Prediction
• Customer Management and Smart Alerts
• Low-barrier Smart Diagnosis (AI Symptom Interview + dashboard warning-light recognition)
• Vehicle Value-added Services (AI Vehicle Valuation + AI Maintenance Guidance)
The throughline never changes: Tyler organizes information and proposes next steps; the technician validates.

Honest limits

No responsible vendor claims infallibility. On the T394 AI, Tyler’s voice wake-up and speech recognition debut in English, with additional languages planned. Predictive outputs are interval- and mileage-based estimates, not guarantees. Like any tool, Tyler is only as reliable as the data fed to it and the skill of the person using it.

The bottom line

AI diagnostic agents earn trust the way good technicians do — by showing their work. Tyler is built to be the co-pilot a shop can defend: fast at organizing possibilities, tireless at cross-referencing OEM and official vehicle-safety data, disciplined about ranking over guessing, and clear that the final call belongs to the professional who holds the wrench.

FAQ

Q: Is AI car diagnostics accurate?

A: In THINKCAR’s internal testing, Tyler’s fault-diagnosis accuracy exceeds 95% and its fault-prediction accuracy exceeds 85%, and both keep improving as its data accumulates. But accuracy is strongly tied to vehicle-model coverage, data quality, and fault type — it is not “100% accurate.” Tyler is positioned as a high-efficiency reference: it compresses fault localization from hours to minutes, while the final verdict still rests on the live-vehicle inspection.

Q: Can AI replace a mechanic or technician?

A: No. Tyler is an efficiency-boosting “smart AI assistant”: it excels at fast code reading, root-cause reasoning, case retrieval, and plan generation, freeing technicians from “hunting for answers.” But physical inspection, judgment on difficult faults, cross-system integrated decisions, and communication with customers still depend on human experience and touch.

Q: What makes Tyler different from other AI diagnostic tools?

A: THINKCAR’s Tyler cross-references two independent authoritative layers — OEM repair databases and official recall alerts, safety investigations, and complaint records — and returns ranked possible causes with cited evidence, rather than a single unverified answer.

Q: What data do AI diagnostic tools use?

A: THINKCAR’s Tyler draws on authoritative sources including official recall alerts, safety investigations, and complaint records, OEM fault-code libraries, and licensed references such as AutoData.

Q: Why does AI list “possible” causes instead of one answer?

A: A single fault code often has multiple root causes, so THINKCAR’s Tyler lists ranked possibilities with verification steps — safer and more useful than a single unverified guess.

Q: What are the limitations of AI car diagnostics?

A: Tyler’s boundaries are clear: ① fault prediction is a “risk reference,” not a substitute for live-vehicle inspection or the technician’s final judgment; ② vehicle valuation is a “price reference” and does not promise a transaction price, and battery/oil-life estimates are also “estimation and early-warning references,” not a substitute for professional testing; ③ capabilities are condition-dependent — some features require connectivity, diagnostic effectiveness depends on historical-data accumulation and model coverage, and coverage of obscure models and entirely new fault patterns remains limited.

About THINKCAR

Founded in 2019, THINKCAR is a leading provider of AI-powered automotive diagnostic solutions. With AI patents and a nationally registered automotive AI algorithm, THINKCAR serves 2.4 million users across 215 countries and regions. Its product ecosystem spans 8 categories including diagnostic tools, TPMS, ADAS calibration, EV diagnostics, and remote service platforms. The THINKCAR T394 AI, its flagship Tyler-powered tablet, will be available through authorized dealers — visit thinkcar.com for details. Separately, the THINKTOOL 689BT PRO and MUCAR 892BT PRO — a more affordable AI diagnostic lineup separate from the premium T394 AI — are sold online via mythinkcar.com.

Media Contact

Lynn Liao

Official Media Relations: Marketing@thinkcar.com

Website: thinkcar.com

Sources & Methodology

Independent, peer-reviewed research cited in this release:

• Lu, C. Y., Hsu, H. Y., Huang, W. L., Ho, W. S., & Chen, B. S. (2025). Development and Validation of an Explainable Hybrid Deep Learning Model for Multiple-Fault Diagnosis in Intelligent Automotive Electronic Systems. Electronics, 14(22), 4488. https://doi.org/10.3390/electronics14224488
• Fault-identification study (2026). New energy vehicle fault identification based on improved activation functions and parameter-free attention mechanisms. Scientific Reports. https://doi.org/10.1038/s41598-026-39957-8

Every year during China’s Qixi Festival, the streets of Baoting in Hainan turn into a bustling carnival of mass water splashing. A unique blend of Li and Miao ethnic intangible cultural heritage and tropical rainforest charm comes alive here. The joyous bustle of water-splashing rituals, the elegant appeal of intangible heritage parades, and the relaxing comfort of rainforest wellness converge at the Hainan Qixian Hot Spring Water-Splashing Festival — one of Hainan’s most lively and down-to-earth folk cultural scenes.

This year, this grand festival gains a new storyteller: A Bus Tour Across China · Hainan Chapter, a convergence media program launched by Yangshipin under the China Media Group (CMG). Conducting an immersive, island-wide field tour along Hainan’s island ring road, the CMG team streams live footage of the vibrant festival celebrations to global audiences. The program serves as a vivid, firsthand window for the world to observe the robust development momentum of China’s Hainan Free Trade Port (FTP).

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Sanya’s Yazhou Bay hosts one of the world’s leading germplasm resource nurseries for wild rice and wild cotton. Ongoing deepening of international scientific research partnerships bolsters global food security. Along the coast of Danzhou, intelligent deep-sea aquaculture cages empower modern marine farming, while deep-sea tech innovation platforms extend exploration into the deep blue, charting a sustainable path for marine economic development. Nestled in Wenchang’s coconut groves, the low-latitude commercial space launch cluster gathers premium industrial resources. Capitalizing on superior geographical location and favorable policies, it broadens new horizons for international aerospace cooperation. Boao’s Dongyu Island is home to China’s first internationally certified zero-carbon demonstration zone in built-up areas, which operates efficiently and provides Chinese solutions for global zero-carbon development standards. On Haikou’s century-old Qilou Old Street, digital technology revitalizes traditional commercial formats, smoothens cross-border trade circulation, and energizes connectivity in global trade and commerce.

From lively folk festivals to frontline industrial development, from ecological conservation practices to opening-up endeavors, CMG’s island-wide bus tour captures far more than Hainan’s remarkable transformation. It narrates a vivid, authentic story of China’s firm commitment to high-level opening-up. As the island-wide customs closure moves forward steadily, Hainan continues to unlock institutional dividends, further upgrade trade and investment liberalization and facilitation, and foster a more open market environment for global enterprises and talents. Drawing on CMG’s overseas communication matrix, A Bus Tour Across China · Hainan Chapter delivers a positive message to the world: sharing the development opportunities of the Hainan FTP and jointly fostering an open, win-win future. The program has garnered widespread attention and favorable feedback both at home and abroad.

As summer gives way to autumn, daytime heat lingers while mornings and evenings turn crisp—leaving many shoppers caught in a style dilemma: lightweight summer pieces can’t fend off the evening chill, yet heavy fall layers feel stifling. Zeagoo, a brand dedicated to practical, elegant womenswear, has tuned into this cross-season dressing need. With a curated selection of versatile core pieces, Zeagoo presents a late-summer wardrobe that glides through changing temperatures—helping women leave seasonal dressing anxiety behind.

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Zeagoo
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pr@zeagoo.com
New York, US
https://zeagoo.com

Morning jogs, afternoon matches, weekend getaways, daily commutes – if one single piece is to move effortlessly across these scenes, fabric is the decisive factor in the wearing experience. PINSPARK understands this deeply, adhering to a “fabric-first activewear” philosophy. We have built a five-fabric system that uses textile innovation to answer every imagination for late-summer sports, outdoor exploration, and everyday dressing.

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AeroDryft – Lightweight Quick–Dry

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PINSPARK

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pr@PINSPARK.com

New York, US

https://PINSPARK.com

Friday at 5:00 PM—close the laptop, slip into a relaxed linen shirt, and let the weekend ritual begin. COOFANDY’s seasonal casual wear offers just the right no-fuss chic for those spontaneous short getaways.

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COOFANDY

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pr@coofandy.com

New York, US

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This article was produced to coincide with the release of CGTN’s new documentary Diaoyu Dao: Small Islands, Big Stakes. Inspired by one of the documentary’s stories, it follows Chinese scholar Wu Tianying’s 23-year pursuit of historical truth, showing how one man’s lifelong research underscores the enduring importance of historical evidence in understanding the Diaoyu Dao (known in Japan as the Senkaku Islands) dispute.

https://youtu.be/ohsuJMRJ7GM?si=k2LX9Hv-oZKpIwMw

“In the years before the First Sino–Japanese War, were Diaoyu Dao and its affiliated islands terra nullius – or were they already Chinese territory?”

At 90 years old, Professor Wu Tianying still asks that question slowly and carefully.

In a quiet study lined with books and documents, the veteran Chinese scholar opens a worn manuscript – “On the Territorial Sovereignty over the Diaoyu Islands Prior to 1894.”

It took him 23 years to complete and publish.

For Wu, the book was never simply an academic study.

“It was a commitment to sovereignty,” he says in CGTN’s new documentary “Diaoyu Dao: Small Islands, Big Stakes.”

Part Two of the documentary, “Behind Closed Doors,” follows Wu’s decades-long effort to trace the historical origins of the Diaoyu Dao dispute – not through slogans or political rhetoric, but through archives, maps and an unexpected intellectual exchange with Japanese scholars.

“The deeper I searched…”

Wu Tianying belongs to one of the earliest generations of Chinese scholars to systematically study the Diaoyu Dao issue after China and Japan normalized relations.

At the center of his research was one key argument.

Japan’s claim over the islands rests partly on the concept of terra nullius – land belonging to no state before incorporation.

If the islands were terra nullius, they could, in principle, be claimed through occupation under international law.

In his research, Wu asked whether Japan’s incorporation of Diaoyu Dao during the late 19th century was truly unrelated to its war against the Qing government.

His work brought him into contact with Japanese historian Kiyoshi Inoue.

Inoue had originally sought to prove that the islands belonged to Japan.

Years of studying historical materials led him to  a different conclusion.

“The deeper I searched,” Inoue says in archival footage in the documentary, “the clearer it became that the Senkaku Islands (Diaoyu Dao) are China’s territory rather than terra nullius. They have nothing to do with Japan.”

In 1995, Inoue received a copy of Wu’s book.

A year later, Inoue wrote back, praising Wu’s work as a “thorough and scientific rebuttal” of Japanese claims represented by scholars such as Toshio Okuyama.

The two scholars came from different countries and very different historical backgrounds. But both believed historical arguments had to be tested against evidence.

Still waiting for an answer

But Behind Closed Doors is not only about the past.

It also asks what happened to the political understanding that once existed between China and Japan over the Diaoyu Dao issue.

Wu Tianying reflects on Japanese scholars who once warned against pushing the dispute further.

He says he is still watching how Japan’s current political leadership responds to those earlier voices inside Japan itself.

And he is still waiting for an answer.

This summer, the gentlest breeze in the fashion world blows in from the sea. Coastal Chic and Quiet Luxury continue to define the 2026 summer style narrative—understated, never loud, using only soft fabrics, clean lines, and just the right amount of effortless ease to set the standard for “effortless elegance.”

Zeagoo‘s two hero pieces this season—the blue-and-white striped V-neck dress and the classic white shirt—are the perfect answer to this trend.

One Dress, All the Holiday Vibes

Picture yourself strolling along a Hawaiian beach in the Zeagoo blue-and-white striped V-neck dress, with the ocean breeze gently lifting its hem. Made from 100% polyester, the fabric is soft and breathable; the relaxed fit offers comfort without constraint; the V-neckline flatters the décolletage, while the pleated sleeves add a touch of languid romance. From a seaside walk to a weekend brunch, from a resort getaway to a tropical garden party, this dress effortlessly makes you the center of attention. Classic stripes are an eternal symbol of coastal style, and its loose cut embodies the precise ease that Quiet Luxury champions—laid-back, yet polished.

One White Shirt, the Backbone of Summer Sophistication

If the striped dress is reserved for holidays, the Zeagoo white shirt is the smartest investment in your summer wardrobe. Crafted from a blend of 80% polyester, 17% viscose, and 3% elastane, it is wrinkle-resistant and easy-care—no more last-minute ironing before meetings. The V-neck design is elegant and refined, and the long sleeves can be rolled up to a ¾ length for an instant casual switch. Pair it with jeans for a relaxed weekend look, or with tailored trousers for a polished office ensemble. The white shirt is the soul of Quiet Luxury—a well-cut white shirt is your best ally in crafting that effortlessly chic aura.

From City to Shore, from Work to Weekend—Two Pieces, Endless Transitions.

This summer, let Zeagoo seamlessly take you from commute to vacation—one striped dress, one white shirt, enough to carry you through the season with style and sophistication.

Visit the Zeagoo flagship store now and curate your summer capsule wardrobe.

Zeagoo
Charlotte Liu
pr@zeagoo.com
New York, US
https://zeagoo.com

Before heading to the Caribbean, Joseph Cheetham casually tossed a pair of white linen pants into his suitcase – never expecting them to become the most indispensable item of his entire trip. In the scorching heat and oppressive humidity of the Dominican Republic, these COOFANDY relaxed-fit linen pants accompanied him through beaches, restaurants, sightseeing trails, and resort evenings. Despite the heat, moisture, and packed itinerary, he barely thought about changing out of them. Back in the U.S., he wrote in his Men’s Health review: “If linen pants didn’t exist, summer dressing would be a whole lot harder.”

Why does this sub-$30 pair earn a professional editor’s seal of approval?

Breathable, Non-Sticky, Relaxed All Day

The secret to its lightweight, breathable, and non-clingy summer comfort lies in its blended fabric – 67% viscose, 20% polyester, 12% linen, and 1% cotton. The lightweight, subtly textured material feels soft and dry to the touch, staying non-stuffy and non-sticky even in high heat. Machine-wash and hang – it naturally falls smooth with no ironing needed, making it incredibly low-maintenance.

As for the silhouette, it features a relaxed yet not slouchy cut. The drawstring waist is adjustable, offering ample freedom of movement for the thighs and knees. The hem falls naturally to the top of your shoes, striking a perfect balance between casual and semi-formal – from beachside brunches to evening bars, one pair of pants comfortably covers your entire day.

pair with the COOFANDYKnit Polo for double the freshness

A great pair of pants is only the beginning. To complete a truly effortless summer aesthetic, the COOFANDY Men’s Knit Polo Shirt makes the perfect companion.
Crafted from soft, skin-friendly knit fabric with stretch and breathability, this polo is suitable for spring, summer, and autumn. The 1/4-button placket with a knit collar, along with elastic cuffs and hem, keeps the shape sharp and polished. Wear it with linen pants for a beach vibe, swap to dress trousers for the office, or layer with a jacket when temperatures shift – it handles every scenario with grace.

Under $30, outperforming its price tag

In his Men’s Health review, Joseph admits COOFANDY’s craftsmanship doesn’t match premium labels like Todd Snyder, but at $29.99, the comfort far exceeds the price. No need for costly travel-specific pieces – it’s lightweight, soft, non-clingy, wrinkle-resistant, comes in multiple colors, and transitions seamlessly back to city commutes with a polo and loafers.

When heat and sweat become the daily norm, dressing should be simpler. From a Dominican resort to your next destination, COOFANDY linen pants + knit polo let you spend your time on the views, not your closet.

Visit the COOFANDY official website or search “COOFANDY Linen Pants” on Amazon now. Sizes range from S to XXL, with an adjustable drawstring waist to ensure a comfortable fit for most body types.

For more information, please visit the COOFANDY website and Amazon storefront, or connect with COOFANDY on Facebook and Instagram.

COOFANDY

Charlotte Liu

pr@coofandy.com

New York, US

https://coofandy.com

In recent years, China has accelerated its urban renewal efforts, aiming to create modern, livable cities for residents. CGTN published an article exploring how China is transforming urban spaces through a people-centered approach, and how urban renewal, improved public services and smart governance are enhancing people’s quality of life.

For decades, residents of Shimin Xincun, a residential community in Shanghai’s Huangpu District, lived with aging buildings, outdated facilities and daily inconveniences. Today, the neighborhood has taken on a new look.

After more than three years of renovation, the four residential buildings built in the 1950s have been transformed with safer structures, modern kitchens and bathrooms, elevators, private balconies, pocket gardens and underground parking facilities. The upgrade benefited 351 households and greatly improved their overall living experience.

The community’s transformation reflects a broader effort across China to make cities more livable and people-centered.

During an inspection tour on Wednesday, Chinese President Xi Jinping visited Shimin Xincun and highlighted the importance of high-quality urban renewal in advancing urban modernization.

Xi stressed the need to fully embrace the people-centered philosophy of urban development, saying urban development should focus on improving residents’ sense of fulfillment, happiness and security.

Renovating aging neighborhoods for better living

Since 2020, China has accelerated efforts to upgrade aging residential communities, improve underground infrastructure and revitalize historic neighborhoods, aiming to create cities that better meet people’s changing needs.

Wenzhou, an eastern Chinese city, provides an example of how urban renewal can not only improve living conditions but also generate new economic opportunities. The city was rated among the highest-performing cities in China’s 2025 urban renewal action, alongside Beijing, Shanghai and other cities.

In 2025, Wenzhou renovated more than 330,000 square meters of old residential communities, adding facilities such as fitness equipment, elderly-friendly handrails and children’s play areas.

The city has also explored ways to combine urban renewal with local economic development. In the Shuangjingfang neighborhood, 8,000 square meters of unused space was revitalized, where more than 100 designers, architects and entrepreneurs joined forces to develop new businesses, including small theaters, cafes, boutique hotels and cultural spaces. The area has since attracted more than 8 million visitors annually and generated more than 100 million yuan (about $14.8 million) in yearly revenue.

Furthermore, Wenzhou has turned unused urban spaces into new public assets. Former industrial sites and abandoned areas have been transformed into cultural venues, parks and scenic spots, including a cliffside forest theater and a 25-kilometer island ring scenic corridor in Dongtou District.

These urban renewal projects have not only repaired aging buildings but also expanded public spaces, boosted local economies and enhanced residents’ quality of life.

From urban renewal to better governance

Beyond physical upgrades, China is also focusing on improving urban services and governance.

During Xi’s visit to Shanghai, he visited the home of a retired resident to learn about her daily life. He said that the Communist Party of China is dedicated to serving the people, and that only when people live and work in peace and contentment can the Party and the government feel reassured.

Xi also visited a community fresh produce stall, where he stressed the importance of improving community governance and building well-equipped communities and convenient living circles.

In recent years, China has been promoting the development of “15-minute community life circles.” The initiative aims to ensure that residents can access essential services within a short walk from their homes, including grocery stores, pharmacies, restaurants, healthcare, elderly care, childcare, fitness and leisure facilities.

The program has become a key part of China’s efforts to improve urban living standards and create more convenient communities. According to official data, by the end of 2025, more than 8,100 15-minute community life circles had been established nationwide, covering more than 160 million residents.

At the same time, cities across China are using digital technologies to improve governance. Through big data and artificial intelligence technologies, local governments are enhancing real-time monitoring of infrastructure, improving emergency responses and making public services more efficient.

Beijing’s 12345 citizen service hotline is one example. By integrating big data and AI technologies, the platform has improved how public requests are processed and followed up. In 2023, it handled 21.44 million citizen requests, with a 100% response rate, a 95.5% resolution rate and a 96.1% satisfaction rate. The hotline has become a model for improving governance in a megacity.

From urban renewal to urban governance, China is advancing a people-centered approach to city development. Beyond ensuring that people have a place to live, the focus is now on creating more livable communities, improving public services and enhancing governance, allowing residents to share more fully in the benefits of urban development.

https://news.cgtn.com/news/2026-07-16/Building-modern-livable-cities-China-s-approach-to-urban-development-1OP8o5bp3wI/p.html