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四大名捕

    发布时间:2026-08-26  

    欺诈游戏

    Economist explores human stories behind development_我的网站

    巨星秀

    A |     

    Zhou Jiang speaks at an event. Photo: Courtesy of Zhou Jiang
        Zhou Jiang speaks at an event. Photo: Courtesy of Zhou Jiang
    Zhou Jiang, a researcher at the Sichuan Academy of Social Sciences, has a favorite book:  White Deer Tableland or Bai Lu Yuan by renowned writer Chen Zhongshi.
    As vice president of the Regional Science Association of China (RSAC), Zhou told the Global Times that a lifetime of reading has profoundly shaped the way he sees and understands the world. It ultimately led him to a career in research and academia, where he teaches and pursues scholarly work.
    Since earning his PhD in economics in 2000, he has devoted himself to the study of regional science and economics, a field that demands a constant crossing of disciplinary boundaries, drawing on the fields of geography, sociology, history, and ecology among others.
    "Reading has kept alive my sense of curiosity and taught me to ask questions with patience and persistence: Where do disparities in regional development come from? How do policies affect different groups in society? And how can a region pursue both efficiency and equity so that development is not merely effective, but also imbued with a greater sense of humanity and warmth?" Zhou noted. 
    Founded in 1991, RSAC is a national academic society dedicated to advancing domestic and international academic exchange and cooperation, providing consulting services on spatial planning, urbanization, and regional development, and offering intellectual support for China's modernization drive.
    The 57-year-old researcher noted that reading has empowered him in two distinct ways.
    "The first is discernment. When confronted with a complex issue, I try not to settle for a simple conclusion. Instead, I make an effort to understand its broader context, how it has unfolded, and the perspectives of the different people involved," he said. 
    "The second is a sense of inner steadiness. Setbacks are an inevitable part of both life and work. Good books remind us that hardship is never ours alone to bear; countless people before us have faced circumstances more difficult than our own, made difficult choices, and found the strength to carry on. Reading cannot solve every problem for us, but it can help us remain calm when challenges arise, giving us the clarity and resilience that allow us not to panic or give up too easily," he said. 
    Historical depth

    Each time Zhou returns to the White Deer Tableland, he finds something different in its pages. 
    "When I first read it as a young person, I was drawn primarily to the characters and the twists and turns of their lives. Later, as I began researching regional economics, I found myself paying closer attention to the changes in the land, the countryside, families and social order presented in the story. Now, approaching 60, I have come to appreciate more deeply the choices the characters make, the constraints they face, and the quiet perseverance they show amid the sweeping currents of their times," he said. 
    White Deer Tableland uses Bai Lu village in Northwest China's Shaanxi Province as a microcosm, tracing the feuds and intertwined fortunes of three generations of the Bai (literally meaning white) and Lu families. Through their stories, it captures more than half a century of sweeping historical change, from the final years of the Qing Dynasty (1644-1911) to the 1970s and 1980s. The novel won the Mao Dun Literature Prize, one of China's top literature awards, in 1997.
    Zhou prefers literary works with historical depth and a keen eye for social change. 
    Regional economics may appear to be concerned with the spatial distribution of industries, population and resources, but at its heart, it is about how people live on a particular piece of land, and why some places flourish while others decline, he noted. 
    In this sense, literature and history are more than pastimes beyond professional research. They often help him understand the historical context, cultural traditions and social mentality that lie behind economic data, he said. 
    When reading novels, Zhou said that he often pays close attention to the relationship between people and the places they inhabit: How the land shapes the local character, how transportation transforms a region, and how shifts in industry reshape families and villages. Such details may not offer a direct conclusion, but they broaden a researcher's perspective. They also serve as a reminder that research should look beyond growth rates and statistical indicators to consider the sense of fulfillment experienced by ordinary people and the dignity of human beings.
    Understanding ourselves
    Once, while tidying his study, he came across a book filled with notes he had scribbled in his early years. Among them was a question that particularly caught his attention: "In the face of sweeping changes in the times and profound social transformation, what can a person truly determine for himself?"
    Looking at those words he had written in his youth was like coming face to face with the person he had been decades ago.
    Reading is not simply the act of understanding a book; it is also a record of a person's own growth, he said. The same book can reveal something entirely different when read at different stages of life. 
    When we are young, we turn to books in search of answers; but when we become seasoned, we read more to understand life, to understand others, and ultimately, to better understand ourselves, Zhou said. 
    In this era of fragmented information, AI can help people access information quickly, organize materials, and gain a basic understanding of unfamiliar fields. Yet deep reading, Zhou said, allows people to see how a conclusion is reached — what evidence supports it, where its boundaries lie, and what alternative interpretations it may invite.
    What truly shapes a person, after all, is not how much information they have browsed, but the words that have made them pause and reflect - and the words that have remained with them for many years, he added. 
    。    8月26日消息,苹果推出新款Mac mini与Mac Studio,最高分别搭载2nm芯片M6及M5 Ultra芯片,在性能和AI能力上实现了颠覆性跃升。    

        M6是苹果首款采用2nm制程的芯片,所有计算模块均获得全面升级。其配备12核中央处理器,包含2颗超级核心、4颗性能核心和6颗能效核心,三种核心均具备业界领先的性能功耗比。    单线程性能全面领跑,多线程性能较M5提升最高达1.2倍,较M1提升最高达2.4倍。

    B |     

        AI算力方面,M6搭载双16核神经网络引擎,峰值计算性能较前代提升最多达2倍。统一内存最大可达32GB,带宽高达170GB/s,较M5提升10%,较M1提升2.5倍。    GPU升级为12核(每颗核心内置神经网络加速器),AI峰值计算性能较M5提升近30%,较M1提升超过8倍。    此外,M6还集成了苹果最新的图形能力,包括更新的着色器核心架构、动态缓存和硬件加速光线追踪技术。相比M5,M6多出2颗中央处理器核心和2颗图形处理器核心,加之神经网络引擎与内存带宽的改进,能更高效地应对各类工作负载。    M5 Ultra是苹果迄今为止最强大的芯片,专为专业人士打造。苹果首次在M系列自研芯片中采用UltraFusion封装技术,将两枚双晶粒M5 Max芯片互联,形成四晶粒架构。该技术将晶粒间带宽提升至4.4TB/s以上,连接密度提升逾6倍。    M5 Ultra搭载最多36核的大尺寸中央处理器(含12颗超级核心和24颗性能核心),单线程性能较M3 Ultra提升最高达1.25倍,多线程性能提升最高达1.3倍。    

        GPU多达80核,同样内置神经网络加速器,支持最新着色器核心、第二代动态缓存、硬件加速网格着色及第三代光线追踪技术,图形性能较M3 Ultra提升最高达40%。    媒体处理引擎进一步强化,专属硬件加速H.264、HEVC、四个ProRes编解码引擎及硬件加速AV1解码一应俱全。32核神经网络引擎可在设备端以业界领先能效安全驱动复杂AI任务。

    C |     内存配置同样惊人,最高支持512GB统一内存,带宽高达1.2TB/s,较M3 Ultra提升50%,为专业创作和超大型工作负载提供充沛保障。         

         【本文结束】如需转载请务必注明出处:      责任编辑:鹿角     文章内容举报     
    。

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