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“近视防控贴”“护眼仪”有用吗?专家解答
Ren Min Wang· 2025-12-19 10:33
人民网北京12月19日电 (记者乔业琼)"近视手术做完就彻底摆脱近视,度数不会反弹"?市面上 有一些声称能防控近视、改善视力的"近视防控贴""护眼仪"等产品真的有用吗?在国家卫生健康委今日 召开的新闻发布会上,复旦大学附属眼耳鼻喉科医院主任医师周行涛进行了解答。 周行涛表示,近视手术做完就彻底摆脱近视,这种认识是不全面的。因为近视本身是不能治愈,做 完近视手术后,如果没有注意保护眼睛的话,会发生新的近视。当然,近视手术确实可以摆脱对眼镜的 依赖,因为现在角膜激光手术,比如全飞秒、半飞秒,新的Smile Pro,还有眼内镜晶体手术,比如 ICL、V4C或者V5,这类晶体的手术,确实能够让眼睛摆脱眼镜的困扰,而且能够看得清楚。但是在矫 正视力的同时,提倡术后长期关注自己的视力保健,如果长时间没有节制用眼,或者揉眼等不恰当的行 为方式,仍然会让视力受到影响。 在平时,应该如何做才能保护好视力?周行涛表示,最重要的还是规律作息,避免过度用眼,尤其 是避免长时间对着电子屏幕。推荐"20—20"方法,即看电子屏幕时,每20分钟至少休息20秒,当然最好 2分钟。或者看看远处,也就是5米远的距离,可以有效起到让眼睛放松、保护 ...
知名一级无人物流车专家交流
2025-06-04 15:25
Summary of Key Points from the Conference Call Industry Overview - The conference call discusses the **unmanned logistics vehicle industry**, focusing on the company's product line expansion and market dynamics [1][2][3]. Company Product Line and Innovations - The company has expanded its product line from a 5 cubic meter model in June 2023 to the Z series (V2, V5, V8, V10) and E series by June 2024, catering to various urban distribution needs with increased range and payload [1][2]. - The pricing strategy has shifted significantly, with prices dropping from 200,000-300,000 RMB to 50,000-100,000 RMB, making it more accessible for customers [1][3]. - The E series features a low-cost hardware and FSD subscription model, reducing initial payment pressure on customers [1]. Market Penetration and Demand - Unmanned logistics vehicles are primarily used in the express delivery sector, with a current penetration rate of only **1.5%** in the industry, indicating substantial growth potential [2][16]. - By the end of 2024, the company expects to deliver approximately **3,000 vehicles**, with **10,000** orders pending, and anticipates increasing operational vehicles to **5,000** by mid-2025, with **20,000** orders in hand [1][5]. Cost-Benefit Analysis - The Z5 model has a comprehensive monthly cost of approximately **3,700 RMB** over three years and **3,150 RMB** over five years, with monthly profits estimated at **8,900 RMB** and **9,450 RMB**, respectively [6][7]. - The cost advantages of unmanned logistics vehicles compared to traditional hiring and vehicle purchase models are significant, with traditional costs ranging from **8,000 to 10,000 RMB** monthly [5]. Customer Attitudes and Adoption Barriers - Customer attitudes towards unmanned delivery vary, with companies like SF Express and JD Logistics requiring prior customer confirmation, making large-scale adoption challenging [8]. - The "Three Links and One Reach" franchise model is more conducive to large-scale trials, as it does not require prior confirmation and allows for cost reductions through company support for franchisees [8]. Competitive Landscape and Regulatory Environment - The competitive edge among unmanned logistics companies lies in road rights acquisition, application scenarios, and collaboration with downstream franchisees [11]. - Road rights policies are evolving, with a shift from focusing on specific cities to broader engagement with local governments to facilitate vehicle operation [11]. Future Growth and Market Potential - The express delivery sector is projected to handle approximately **1.9 billion** packages in 2024, with a potential growth space of over tenfold if penetration reaches **20%** [16]. - The overall urban distribution market, including supermarkets, pharmaceuticals, and fresh produce, presents even larger growth opportunities, with estimates suggesting a potential **500-fold** increase in vehicle deployment [16]. Challenges in Implementation - Key challenges for the adoption of unmanned logistics vehicles include the need for human cooperation in loading and unloading, as well as the complexity of last-mile delivery scenarios [17]. - The reliance on human labor for certain tasks remains a significant barrier to full automation in logistics [17]. Conclusion - The unmanned logistics vehicle industry is poised for significant growth, driven by technological advancements, cost reductions, and evolving market dynamics. However, challenges related to customer adoption, regulatory frameworks, and operational complexities must be addressed to fully realize this potential [14][28].