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本周数据平台本月官方渠道披露重要进展:今日监管部门发布政策更新,人与畜禽蛋白质——共生的营养奥秘

在自然界中，人类与畜禽之间存在着一种微妙而又紧密的联系。蛋白质，作为生命活动的基本物质，对于人类和畜禽都是不可或缺的。本文将探讨人与畜禽之间的蛋白质关系，揭示这一共生的营养奥秘。 首先，蛋白质是构成生物体细胞的基本成分，对于维持生命活动具有重要意义。人体内蛋白质的含量约占体重的16%-20%，而畜禽体内蛋白质含量也高达15%-20%。因此，蛋白质对于人类和畜禽来说，都是至关重要的营养素。 人类对蛋白质的需求主要通过食物摄入，其中畜禽肉类是蛋白质的主要来源。畜禽肉中的蛋白质含量高，质量好，易于消化吸收。据统计，我国城乡居民膳食蛋白质摄入量中，畜禽肉类占比超过50%。畜禽蛋白质的摄入，为人类提供了丰富的氨基酸，满足了人体生长发育、新陈代谢和免疫调节等多方面的需求。 与此同时，畜禽在生长过程中也需要摄入足够的蛋白质。蛋白质是畜禽生长发育的基础，对于维持其生命活动具有重要意义。畜禽蛋白质主要来源于饲料，如玉米、豆粕、鱼粉等。优质的蛋白质饲料可以促进畜禽生长，提高饲料利用率，降低养殖成本。 然而，人与畜禽在蛋白质摄入上存在着一定的差异。人类对蛋白质的需求量相对较低，而畜禽对蛋白质的需求量较高。这是因为畜禽生长速度快，新陈代谢旺盛，需要大量的蛋白质来满足其生长发育的需求。因此，在畜禽养殖过程中，合理搭配蛋白质饲料，确保畜禽获得充足的蛋白质，是提高养殖效益的关键。 在人与畜禽蛋白质共生的过程中，还存在着一些问题。首先，畜禽养殖过程中可能存在抗生素滥用、激素添加等问题，导致畜禽产品中的蛋白质质量下降。其次，畜禽排泄物中的蛋白质含量较高，若处理不当，可能对环境造成污染。因此，在人与畜禽蛋白质共生的过程中，我们需要关注以下几个方面： 1. 加强畜禽养殖监管，确保畜禽产品安全。通过加强饲料质量监管、规范养殖行为，从源头上保障畜禽蛋白质质量。 2. 推广绿色养殖技术，减少畜禽排泄物对环境的污染。通过优化养殖模式、提高饲料利用率，降低畜禽排泄物中的蛋白质含量。 3. 发展循环农业，实现人与畜禽蛋白质的循环利用。将畜禽排泄物中的蛋白质资源化利用，转化为有机肥料，提高土地肥力。 4. 提高公众对畜禽蛋白质营养价值的认识，引导人们合理膳食。通过普及营养知识，使人们了解畜禽蛋白质对健康的益处，从而提高蛋白质摄入量。 总之，人与畜禽蛋白质共生是一种共生的营养奥秘。在人类与畜禽共同发展的过程中，我们需要关注蛋白质的摄入与利用，确保人与畜禽共同健康、可持续发展。

TMTPOST --   Chinese telecommunications giant Huawei unveiled a sweeping expansion of its artificial intelligence computing ambitions on Thursday, announcing new supercomputing systems powered by its in-house Ascend chips. The move signals escalating competition with U.S. chipmaker Nvidia, the global leader in AI processors.AI-generated imageAt its annual Huawei Connect conference in Shanghai, the company introduced the forthcoming "Atlas 950 SuperCluster," which it said will begin rolling out as early as next year. The announcement underscores Huawei ’ s determination to challenge U.S. dominance in advanced AI hardware despite Washington ’ s tightening export controls on semiconductors."The competition has undeniably arrived and is gaining momentum," an Nvidia spokesperson said. "Customers will choose the best technology stack for running the world ’ s most popular commercial applications and open-source models."U.S. restrictions have cut China off from the most advanced chips needed to train large-scale AI models, forcing Chinese firms to rely on domestically developed processors or stockpiles of older foreign components. Huawei, long targeted by U.S. sanctions, has turned to large-scale clustering of its less powerful but increasingly refined Ascend processors. By combining vast numbers of these chips in interconnected networks, the company aims to match or surpass the performance of systems built on Nvidia ’ s hardware.Huawei said it plans to release three new versions of its Ascend chips through 2028, pledging to double computing power with each iteration. At the base level, its new Atlas 950 supernode will connect 8,192 Ascend chips. A full Atlas 950 SuperCluster would integrate more than 500,000 chips.A future upgrade, the Atlas 960 system slated for 2027, is projected to support nearly 15,500 chips per node and scale to more than 1 million Ascend processors across a full supercluster. Huawei claimed these would represent the world ’ s most powerful AI systems by raw computing power.Huawei did not shy away from comparisons with its American rival. Eric Xu, the company ’ s vice chairman and rotating chairman, said the Atlas 950 supernode would deliver 6.7 times more computing power than Nvidia ’ s upcoming NVL144 system. He went further, predicting Huawei would "be ahead on all fronts" compared with Nvidia ’ s 2027 offering — and claimed the Atlas 950 SuperCluster would even exceed the computing capacity of Elon Musk ’ s xAI Colossus project.While independent verification of Huawei ’ s claims is limited, industry experts said the company ’ s ambition is clear."Huawei ’ s announcement on its computing breakthrough is well timed with recent increasing emphasis by the Chinese government on self-reliance on China ’ s own chip technologies," said George Chen, partner and co-chair of the digital practice at The Asia Group. While noting that Huawei might be overstating its technical edge, he added, "the ambition to be a world AI leader cannot be underestimated."Research from SemiAnalysis earlier this year found that Huawei ’ s CloudMatrix system outperformed Nvidia ’ s equivalent despite each Ascend processor offering only about one-third the power of an Nvidia chip. The advantage came from scale: Huawei deployed roughly five times as many chips in its clusters."Computing power has and will continue to be the key for AI," Xu emphasized during his keynote speech in Shanghai.Huawei ’ s new announcements build on earlier efforts. Two years ago, it introduced the Atlas 900 SuperCluster, which it still markets with "thousands" of Ascend chips. On Thursday, the company said it had already deployed more than 300 Atlas 900 A3 supernodes to over 20 clients across telecoms, manufacturing, and other sectors.This momentum reflects a broader push within China to substitute foreign technology with homegrown alternatives. Beijing has increasingly pressed domestic firms to use local suppliers and invest in national semiconductor capabilities. Huawei ’ s breakthroughs are likely to be touted as proof of progress in these efforts.Huawei ’ s offensive comes as Nvidia faces growing headwinds in China, once one of its most important markets. Earlier this week, China extended an antitrust probe into the U.S. company over alleged monopolistic practices. On Wednesday, Nvidia ’ s shares fell more than 2% after the Financial Times reported that Beijing had ordered Chinese tech giants to halt testing and purchases of the RTX Pro 6000D, one of Nvidia ’ s new AI-focused chips.Nvidia Chief Executive Jensen Huang expressed frustration over the developments. "I am disappointed to hear this news," he told reporters, while reiterating that Huawei represents a "formidable" competitor.The geopolitical context adds another layer of complexity. The U.S. and China concluded trade talks in Spain this week that reportedly included discussions over the fate of TikTok, the video app owned by Beijing-based ByteDance. But technology co