第三代生物炼制技术旨在利用一碳分子和可再生能源，实现燃料与化学品的"负碳"生产，以应对日益严峻的气候变化和粮 食短缺问题。由合成气发酵制得的乙酸，作为一种可行的非粮碳源，近来在大宗化学品的生物合成中地位日益凸显。 3-羟基丙酸（3-HP）是一种可再生的大宗化学品，可通过氧化还原反应衍生出丙烯腈、1,3-丙二醇、丙烯酰胺、丙二酸和 丙烯酸等多种高值产品。据预测，其市场规模将突破360万吨/年，产值超过100亿美元/年。 SynBio团队 | 吴辉 【SynBioCon】 获 悉 ， 华东理工大学生物工程学院上海生物制造技术协同创新中心生物反应器工程国家重点实验室 的吴辉老 师团队 通过丙二酰 -CoA 途径，在大肠杆菌中成功构建了以乙酸为原料合成 3- 羟基丙酸（ 3-HP ）的工程菌 株。最终，工程菌株 ZWR18(M DA) 的 3-HP 产量达到 5.53 g/L ，得率为 0.732 g/g ，占理论得率的 97.60% 。在全 细胞催化条件下，该菌株可产 23.89 g/L 3-HP ，得率为 0.734 g/g ，达到理论得率的 97.87% 。以合成气来源的乙酸 为底物进行全细胞催化时， ZWR1 ...

除了行业协会以外，翻译家也很多理由反对AI翻译。比如，AI无法理解上下文、语气、节奏或风格； 它会导致语言"贫乏化"；没有必要翻译世上每一本英文小说；而且它根本算不上"翻译"。 此外，AI翻译的作品往往仍需人工译者检查。"这是个灰色地带，"英国作家协会翻译协会主席伊恩·贾 尔斯补充说。"我们无权规定别人如何翻译，每个人都有不同的方法。你不一定得用圆珠笔和稿纸翻 译。但如果直接使用生成式AI，那不是翻译，那是在'检查电脑作业'，这种方式会扼杀很多可能性。" 现在很多客户开始要求译者对AI产出的译文进行二次加工，这种"后期编辑"的工作反而降低了译者的工 作效率。"有人会把AI吐出来的一堆废话发给我，我得把这块难以驾驭的'文字泥块'变成一本书。"他 说，从零开始"会更轻松，也更快"。 英国作家协会翻译协会主席伊恩·贾尔斯对此变化速度深感忧虑。"我们的问题其实不在于技术进步，而 在于生成式AI使用我们的版权作品来'训练'。我甚至讨厌'训练'这个词，因为它暗示另一端有某种智能 存在。" 今年3月，英国作家协会谴责了用盗版书训练AI的"令人发指"的行为，因为有消息称科技公司Meta使用 了数百万本盗版书来开发其AI程序。 ...

值得注意的是，世邦魏理仕提到，该计划设有一项重要的限制：若宿舍物业拟出售，现有业主须至少提 前六个月通知港府及现有租户。此外，潜在买家亦须签署声明，承诺继续以宿舍形式营运该物业。此条 款旨在保障居住于宿舍的学生及学校，确保营运的延续性与稳定性。然而，这亦是投资者需考虑的重要 因素，应纳入收购计划的评估之中。 此外，计划亦设有"不可分层出售"条款，禁止将宿舍房间以分层形式出售。不过，由于此条款并非透过 港府地契条件(如地政总署)执行，投资者仍保留一定灵活性。若日后有意以分层形式出售，只需终止宿 舍营运，便可按原建筑条件进行出售。因此，该条款预计不会对投资者兴趣构成重大影响。 智通财经APP获悉，就香港发展局与香港教育局宣布的"城中学舍计划"，世邦魏理仕香港估值及咨询服 务部主管兼执行董事郑亥延表示，港府公布的"城中学舍计划"，为私营市场长期关注的问题提供了结构 完善的回应。鉴于目前酒店市况，此项措施推出的时机非常合适。此计划为中低端酒店带来新的机遇。 世邦魏理仕认为，这类物业只需进行相对简单的改动，例如增设中央厨房等公共设施，以及添置如碌架 床等活动家具，即可改建为宿舍。相比之下，商业楼宇的改建则需投入大量资本 ...

以下文章来源于首席品牌观察 ，作者王晖 首席品牌观察 . 300万消费品牌媒体，快消行业记录者与观察者！聚焦快消与新消费，关注消费趋势与变化 一个品牌绝版了，怀念它的人多起来了。 文 ｜ 王晖 来源｜ 首席品牌观察（ID：pinpaigcbao） 封面来源 ｜ 品牌官方 图源：微博网友 这边农夫山泉忙得解释没有 "屎到淋头"，那边农夫山泉旗下一款难喝到绝版的饮料却被炒火了，它就是最难喝五大饮料之一的红色尖叫。 二手平台 上，这款零售价 5元一瓶的饮料 ， 有人出价 88元、128元、188元…… 图源：闲鱼 一个被骂了十几年的"饮料界刺客"， 就这么突然 翻身 成了 "顶流"。 最难喝饮料，翻红了 世界上最惨的事，莫过于一个天才去世了，他的作品被认可了；一个品牌绝版了，怀念它的人多起来了。 最近农夫山泉的遭遇有点魔幻。 由于杭州余杭区部分小区自来水出现异味，网络上流传着一份 "受影响企业名单"，其中农夫山泉赫然在列，慌得农夫山泉到处辟谣，称品牌在余杭没有 生产基地。 农夫山泉的红色尖叫就是这样一个时运不济的品牌。 2004年，农夫山泉推出"尖叫"系列，本意是对标运动饮料。蓝色款是西柚味，绿色款是柠檬味，味道中 ...

Core Viewpoint - The emergence of new research-oriented universities in China, such as Fujian Fuyao University, Ningbo Oriental Institute of Technology, and Greater Bay Area University, has led to high admission scores comparable to or exceeding those of established 985 universities, indicating a shift in higher education dynamics in the country [1][2][3]. Group 1: Admission Scores and Trends - Fujian Fuyao University achieved a minimum admission score of 616 in Guangxi, surpassing several 985 universities [1] - Ningbo Oriental Institute of Technology's admission score was 656, also exceeding multiple 985 institutions [2] - Greater Bay Area University had a minimum score of 622, just below Sun Yat-sen University and equal to South China University of Technology [2] Group 2: Characteristics of New Universities - New research-oriented universities are characterized by high starting points, significant investment, and a focus on specialized, cutting-edge disciplines [2][3] - These institutions often have strong faculty, including numerous academicians and renowned experts, contributing to their high admission scores [2][3] - The educational model emphasizes a streamlined pathway from undergraduate to doctoral studies, reducing competition and anxiety among students [3] Group 3: Graduate Outcomes - Graduates from new research-oriented universities tend to have high rates of further education, with ShanghaiTech University reporting a 90.4% overall employment and further education rate [4] - The focused nature of these universities allows them to attract high-caliber students, as evidenced by their admission scores surpassing those of less popular programs at 985 universities [4]

Core Insights - New research-oriented universities in China, such as Fujian Fuyou University, Ningbo Oriental Institute of Technology, and Greater Bay Area University, have recorded admission scores comparable to or exceeding those of established 985 universities [1][2] Group 1: Admission Scores - Fujian Fuyou University achieved a minimum admission score of 616 in Guangxi, surpassing several 985 universities [1] - Ningbo Oriental Institute of Technology's admission score was 656, placing it above many 985 institutions [1] - Greater Bay Area University had a minimum score of 622, just below Sun Yat-sen University and equal to South China University of Technology [2] Group 2: Characteristics of New Universities - New research-oriented universities are characterized by high starting points, significant investment, and a focus on specialized, high-demand fields [2] - These institutions often employ a strong faculty, including numerous academicians and renowned experts, contributing to their high admission scores [2][3] Group 3: Educational Approach - Fujian Fuyou University emphasizes an integrated eight-year program for undergraduate to doctoral studies, aiming to reduce competition and anxiety among students [3] - Greater Bay Area University boasts a low student-to-faculty ratio of 3:1, providing personalized education with direct mentorship from academicians [3] Group 4: Graduate Outcomes - New research-oriented universities have a high rate of graduates pursuing further education, with institutions like ShanghaiTech University reporting an 84.3% graduate continuation rate [5] - The focused nature of these universities allows them to attract high-achieving students, as evidenced by their competitive admission scores [5][6]

如果您希望可以时常见面，欢迎标星收藏哦~ 不断增长的人工智能（AI）需求暴露出一个严峻的"计算危机"，其特点是能源消耗不可持 续、训练成本过高以及传统互补式金属氧化物半导体（CMOS）微缩技术接近极限。「基于 物理的专用集成电路（ASIC）」提供了一种变革性的范式，它直接利用固有的物理动力学 进行计算，而不是耗费资源来强制实现理想化的数字抽象。 传统的扩展正面临多方面的极限： 1.AI的能源需求正在不可持续地增加，如图1(a)所示。数据中心是AI操作的核心，2023年消耗了 大约200太瓦时（TWh）的电力。预测表明，到2026年，这一数字可能会增至260太瓦时，占美 国总电力需求的约6%。 2. 计算成本急剧上升，集中化了访问。前沿AI模型的发展使得训练成本大幅增加，预计到2027 年，最大规模的训练运行成本将超过10亿美元。这与图1(b)所示的供需差距自然相关。 3. 随着晶体管尺寸缩小到纳米级，长期以来的扩展定律——摩尔定律和丹纳德定律——正在达到 其极限。诸如随机性、漏电流和可变性等微型化效应使得在这些尺度下实现可靠操作变得困难。 通过放宽传统ASIC所需的约束，例如强制无状态性、单向性、确定性和同步 ...

Core Viewpoint - The rise of AI, particularly generative AI, is significantly transforming the job market and entrepreneurial landscape, posing threats to certain types of businesses while also creating new opportunities for others [1][4][43]. Group 1: Impact of AI on Employment - According to McKinsey's 2023 report, by 2030, approximately 12 million people in the U.S. may need to change jobs due to AI automating 60%-70% of tasks, especially in white-collar jobs [2]. - The World Economic Forum warns that AI could lead to the disappearance of 83 million jobs globally in the next five years, despite the emergence of 69 million new jobs, resulting in a net loss of 14 million jobs [3]. Group 2: Vulnerable Entrepreneurial Segments - Entrepreneurs relying on repetitive labor are at high risk, as AI excels in standardizing and automating tasks such as data entry and document organization [8][9]. - Content creators lacking originality and deep insights are also vulnerable, as AI-generated content can easily surpass template-based or "rewritten" content [12][13]. - Businesses that cater to "pseudo-needs" or low-value services are threatened, as AI can streamline processes and eliminate inefficiencies, making these services redundant [17][18]. Group 3: Resilient Entrepreneurial Segments - Entrepreneurs who can integrate AI tools to create new business models are well-positioned for success, leveraging AI to enhance efficiency and decision-making [24][25]. - Those skilled in brand building and community engagement can thrive, as AI struggles to replicate human emotional connections and storytelling abilities [28][30]. - Businesses that require complex interpersonal interactions, such as high-end services and emotional support roles, are less likely to be replaced by AI due to the need for human empathy and adaptability [35][40].

Core Viewpoint - The article emphasizes the importance of personal growth and adaptability in the workplace, suggesting that enduring challenges and continuously learning are essential for career advancement [9][10]. Group 1 - Enduring workplace challenges is a common experience, and individuals must develop resilience to navigate these situations effectively [12][16]. - Changing jobs does not eliminate challenges; personal growth and the ability to handle adversity are crucial [18][20]. - Seeking help and learning from experienced colleagues can significantly enhance problem-solving capabilities [25][27]. Group 2 - Maintaining a sense of responsibility and actively seeking work, even without direct assignments, is vital for career success [35][36]. - Innovation and attentiveness to customer needs can lead to significant career advancements, as demonstrated by the story of a service worker who proposed valuable changes [39][44]. - A strong work ethic and a focus on continuous improvement are essential for long-term career growth [46][48]. Group 3 - Understanding workplace dynamics and being sensitive to the emotions of others can prevent conflicts and foster better relationships [51][59]. - The rapid evolution of job skills due to technological advancements necessitates continuous learning to remain relevant in the workforce [63][68]. - Quality of work and the ability to think critically are more important than mere busyness in achieving career success [72][75]. Group 4 - Experience alone does not guarantee success; actively reflecting on and learning from experiences is what transforms them into valuable insights [88][92]. - Authenticity and sincerity in interpersonal relationships are crucial for building a positive reputation in the workplace [95][99]. - Understanding and navigating workplace rules can significantly enhance opportunities for promotions and salary increases [101][102].

持平，但预报迎来降雨，缓解高温对农作物影响，豆二价格出现回调。 | 观点总结： | 国际方面，天气预报显示，本周美国主产区气温将上升，但因降雨充沛，天气威胁整体有限。且生物燃料政策提振豆油需求，预计 | | --- | --- | | 豆粕 | 近期美豆走势偏强。国内方面，进口大豆成本持续提升，7 月低价豆粕性价比凸显，饲料企业或增加采购，本周油厂豆粕成交量及 | | 观点总结： | 国际方面，根据美国政府的估计，美国生物燃料生产商明年将消耗美国一半以上的豆油产量。8月份是大豆作物的关键生长期，市 | | | 提货量均有所增加。由于大豆压榨量仍然处于高位，豆粕供应充足，将限制豆粕价格上涨空间。 | | 豆油 | 场关注重点转移至天气，天气预报显示美豆产区将迎来降雨，缓解高温对农作物的影响。国内方面，如今油厂豆油、棕榈油累库、 | | 重点关注 | 今日暂无消息 | | 数据来源第三方，观点仅供参考。市场有风险，投资需谨慎！ | 基差跌跌不休，厂家催提已成普遍现象。因季节性淡季，叠加今年终端需求较往年差很多，市场购销两不旺的状态。 | 豆类产业日报 2025-07-22 | 项目类别 | 数据指标 | 最新 | ...