证券代码：688066 证券简称：航天宏图 公告编号：2025-046 债券代码：118027 债券简称：宏图转债 航天宏图信息技术股份有限公司 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或 者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 重要内容提示： （三） 投票方式：本次股东大会所采用的表决方式是现场投票和网络投票相结 合的方式 召开地点：北京市海淀区杏石口路益园文化创意产业基地 A 区 1 号楼 5 层公 司会议室 （五） 网络投票的系统、起止日期和投票时间。 网络投票系统：上海证券交易所股东大会网络投票系统 网络投票起止时间：自2025 年 7 月 28 日 （六） 融资融券、转融通、约定购回业务账户和沪股通投资者的投票程序 至2025 年 7 月 28 日 采用上海证券交易所网络投票系统，通过交易系统投票平台的投票时间为股 东大会召开当日的交易时间段，即 9:15-9:25,9:30-11:30，13:00-15:00；通过 互联网投票平台的投票时间为股东大会召开当日的 9:15-15:00。 涉及融资融券、转融通业务、约定购回业务相关账户以及沪股通投资者的 ...

Summary of Key Points Core Viewpoint - The company, Beijing Yinxin Changyuan Technology Co., Ltd., has announced that its stock price has met the conditions for the conditional redemption of its convertible bonds, "Yinxin Convertible Bonds," which may lead to the redemption of all or part of the bonds if certain price thresholds are maintained [1][5]. Group 1: Convertible Bond Issuance and Trading - The company issued 3.914 million convertible bonds on July 15, 2020, with a total value of RMB 391.40 million, at a face value of RMB 100 each [1]. - The bonds were listed for trading on the Shenzhen Stock Exchange starting August 12, 2020, under the name "Yinxin Convertible Bonds" and code "123059" [1]. Group 2: Conversion Terms and Price Adjustments - The conversion period for the bonds is from January 21, 2021, to July 14, 2026 [2]. - The initial conversion price was set at RMB 9.91 per share, which has been adjusted multiple times, currently standing at RMB 9.15 per share effective from May 27, 2025 [2][4]. Group 3: Conditional Redemption Clauses - The company has the right to redeem the bonds if the stock price remains at or above 130% of the conversion price for at least 15 out of 30 consecutive trading days [5]. - As of the period from June 24 to July 11, 2025, the stock price has been above the threshold, indicating a potential trigger for redemption [5].

曾蝉联世界首富13年的微软联合创始人比尔·盖茨，10日被曝出已经跌出全球富豪排行榜前十。根据彭博亿万富豪指数排名，比尔·盖茨以1240亿美元的净资 产名列第12位。有报道称，比尔·盖茨现在的财富排名低于微软前CEO史蒂夫·鲍尔默，后者以1730亿美元的净资产排名第5名。 ▲比尔·盖茨 根据彭博亿万富豪指数提供的数据图显示，本月3日，比尔·盖茨的净资产数还是1750亿美元，但这一数字在4日断崖式下跌至1240亿美元，锐减510亿美元。 据报道，比尔·盖茨资产出现变动的主要原因是其进行了大量慈善捐款。 ▲数据显示，本月3日至4日，比尔·盖茨的净资产数下跌了510亿美元 据盖茨基金会数据显示，截至去年，比尔·盖茨和他的前妻梅琳达·盖茨已累计捐款600亿美元。今年5月，比尔·盖茨宣布，从现在到2045年，盖茨基金会的慈 善支出将超过2000亿美元。（此前报道>>） 据报道，彭博亿万富豪指数显示，排名第一的是特斯拉CEO马斯克，而英伟达CEO黄仁勋以10亿美元的差距次于"股神"巴菲特，排名第十。 在科技巨头崛起、本人又热衷于慈善捐款的双重背景下，曾当了十余年首富的比尔·盖茨不再是排名前十的世界顶级富豪。报道称，这标志着 ...

Group 1 - The company, Jiuqi Software (002279), announced an expected net loss attributable to shareholders ranging from 65 million to 85 million yuan for the period from January 1, 2025, to June 30, 2025, compared to a loss of 150 million yuan in the same period last year [1] - The net profit loss after deducting non-recurring gains and losses is expected to be between 70 million and 90 million yuan, compared to a loss of 154 million yuan in the same period last year [1] - The basic earnings per share are projected to be a loss of 0.0752 yuan to 0.0984 yuan, compared to a loss of 0.1732 yuan per share in the same period last year [1]

Group 1 - The company, Ruiming Technology, is planning to issue H-shares and list on the Hong Kong Stock Exchange to enhance its global strategy and competitiveness [1] - The company is currently in discussions with intermediaries regarding the specifics of the H-share issuance and listing, with details yet to be finalized [1] - The H-share issuance and listing are subject to approval from the company's board, shareholders, and regulatory bodies, indicating significant uncertainty in the process [1] Group 2 - Ruiming Technology was listed on the Shenzhen Stock Exchange's ChiNext board on December 17, 2019, with an initial public offering of 21.6 million shares at a price of 38.00 yuan per share [2] - The total funds raised from the IPO amounted to 820.8 million yuan, with a net amount of 752.6 million yuan after deducting issuance costs, which were allocated to various projects including the commercialization of monitoring products and the establishment of a research center [2] - The total issuance costs were 68.19 million yuan, with 50 million yuan paid to Guosen Securities for underwriting and sponsorship services [2]

7 月 10 日，微软研究院 AI for Science 团队在《Science》杂志发表了题为「Scalable emulation of protein equilibrium ensembles with generative deep learning」的研究成果。 论文 ： https://www.science.org/doi/10.1126/science.adv9817 代码 ： github.com/microsoft/bioemu 该研究提出了一种名为 BioEmu 的生成式深度学习模型，能够以前所未有的效率和精度模拟蛋白质的 构象变化，为理解蛋白质功能机制和加速药物发现打开了新路径。 从结构预测到功能模拟：蛋白质研究的下一个前沿 近年来，AlphaFold 等模型在蛋白质结构预测方面取得了突破性进展，但这些方法通常只能预测单一静 态结构，难以捕捉蛋白质在功能过程中所经历的动态变化。蛋白质并非静止不动的分子，而是处于不断 变化的构象系综（conformational ensemble）中，其功能往往依赖于这些结构之间的转换。 BioEmu 正是为了解决这一挑战而生。它通过结合 Alpha ...

Core Viewpoint - The company, Aerospace Information (600271), is expected to report a net loss for the first half of 2025, with preliminary estimates indicating a loss between 260 million to 370 million yuan [1] Financial Performance - The projected net profit attributable to the parent company for the first half of 2025 is estimated to be between -260 million to -370 million yuan [1] - The expected net profit after deducting non-recurring gains and losses is forecasted to be between -280 million to -390 million yuan [1]

Core Insights - Goldman Sachs' investment strategy team has made significant adjustments to the U.S. sector allocation model, recommending a more balanced sector allocation strategy for investors [1] - The updated sector model indicates that an equal-weight sector allocation portfolio has a significantly higher probability of achieving over 5% excess returns compared to an equal-weight S&P 500 index over the next six months [1] Sector Recommendations - The software and services, as well as media and entertainment sectors, continue to hold their previous overweight ratings, while the new materials sector has been included in the core recommendations for the first time [1] - The consumer staples sector has been removed from the priority allocation list [1] - The report emphasizes that the current U.S. stock market exhibits an overly optimistic outlook on the economic prospects, with both downside risks and upside potential present in the actual economic performance [1] Investment Strategy - The strategy report suggests avoiding significant bias towards cyclical or defensive sectors, advocating for a balanced investment portfolio that can withstand market fluctuations [1] - In terms of specific sector selection, software and services (long-term growth expectation of 14%) and media and entertainment (long-term growth expectation of 14%) stand out due to their robust growth prospects, particularly in a moderately growing economy [1] - Defensive sectors such as utilities and real estate are favored due to the expectation of a slight decline in bond yields [1] - Among cyclical sectors, the materials sector is viewed as having a better allocation advantage compared to the energy sector, primarily based on expectations of falling oil prices [1] Adjustments and Market Outlook - The industrial sector has been downgraded due to its overall valuation being at historical highs, with the model indicating the lowest likelihood of achieving significant excess returns over the next six months [2] - Although the consumer staples and healthcare sectors are not explicitly bearish, their allocation priority has been slightly lowered compared to the model's baseline recommendations [2] - The adjustments reflect Goldman Sachs' neutral judgment on the market environment, acknowledging the reasonableness of current market optimism while diversifying allocations to hedge against potential risks [2] - The strategy team highlights that in the context of economic growth uncertainty, sectors that combine growth potential with reasonable valuations will exhibit greater investment resilience, while excessive bets on a single direction may face dual volatility risks [2]

Core Insights - Companies must consider not only whether to build, buy, integrate, or collaborate in AI investments but also how to develop organizational capabilities and establish a decision-making framework to maximize strategic value [1][16] - The success of AI investments is not solely determined by the amount of money spent but by the ability to wisely navigate between building, buying, integrating, and collaborating strategies [3][16] Strategic Decision Framework - Successful companies evaluate AI capabilities through a systematic framework, focusing on whether the capability can create unique value for customers in a way that competitors cannot easily replicate [4] - The evaluation should consider three key dimensions: competitive differentiation potential, organizational readiness, and long-term strategic alignment [4] When to Build - Companies choose to build AI capabilities when they constitute a core competitive advantage, create unique entry barriers, or when long-term cost benefits justify high initial investments [5] - Building requires comprehensive planning, including detailed capability assessments, cross-functional team formation, and strong development infrastructure [5][6] - Success metrics should encompass not only technical performance but also business impact indicators, with regular reviews to adjust strategies as needed [6] When to Buy - Companies opt to purchase external solutions when speed is critical, vendors possess superior expertise, or internal development costs exceed long-term value creation [8] - Successful procurement involves a complex vendor evaluation process, focusing on current capabilities and future roadmap alignment [8] - A robust change management process is essential, even for off-the-shelf software, to ensure user training and process adaptation [8] When to Integrate - A hybrid strategy is suitable when some components need customization while others can be standardized, allowing companies to balance speed, cost, and competitive differentiation [11] - Successful integration requires precise architectural planning and strong API development to ensure seamless communication between internal and external systems [11] When to Collaborate - Strategic partnerships are ideal when certain capabilities are critical but not differentiating, and when specialized vendors offer superior expertise [13] - Detailed collaboration agreements should include commitments to strategic alignment and mutual performance incentives [14] Exemplary Cases - JPMorgan Chase exemplifies a successful build strategy, investing $17 billion in technology, with a significant portion directed towards custom AI systems that enhance fraud detection [7] - Capital One demonstrates a hybrid approach by building a proprietary machine learning platform for credit decisions while purchasing AI solutions for customer service automation [12] - Domino's Pizza showcases a strategic partnership with Microsoft Azure to co-develop AI-driven solutions for order and delivery optimization, significantly improving operational efficiency [15]

1. Report Industry Investment Ratings No industry investment ratings are provided in the report. 2. Core Views of the Report The report offers short - term trend forecasts for various commodities in the futures market, including precious metals, base metals, energy, and agricultural products. These forecasts are influenced by factors such as tariffs, supply - demand dynamics, and macro - economic policies [2][4]. 3. Summary by Commodity Precious Metals - **Gold**: Facing disturbances from tariff issues, with a trend strength of - 1, indicating a bearish outlook [2][5][9]. - **Silver**: In a high - level oscillation, with a trend strength of 1, suggesting a bullish outlook [2][5][9]. Base Metals - **Copper**: Inventory is continuously increasing, putting pressure on prices. The trend strength is 0, showing a neutral outlook [2][11][13]. - **Zinc**: Operating within a range, with a trend strength of 0, indicating a neutral outlook [2][14]. - **Lead**: Showing a mid - term upward trend, with a trend strength of 0, suggesting a neutral outlook [2][16][17]. - **Tin**: Prices are weakening, with a trend strength of 0, indicating a neutral outlook [2][19][23]. - **Aluminum**: The price center is moving up. Aluminum has a trend strength of 0, alumina has a trend strength of 1, and casting aluminum alloy follows the trend of electrolytic aluminum [2][24][26]. - **Nickel**: There is a game between macro and fundamental factors, resulting in an oscillating trend. The trend strength is 0, indicating a neutral outlook [2][27][33]. - **Stainless Steel**: There is a game between reality and macro - expectations, leading to an oscillating trend. The trend strength is 0, indicating a neutral outlook [2][28][33]. Energy and Chemicals - **Carbonate Lithium**: Inventory accumulation is accelerating, but the number of warehouse receipts is relatively small. The oscillating pattern may continue, with a trend strength of 0, indicating a neutral outlook [2][34][36]. - **Industrial Silicon**: Attention should be paid to the registration of warehouse receipts, with a trend strength of 0, indicating a neutral outlook [2][37][40]. - **Polysilicon**: Policy disturbances are amplifying market fluctuations, with a trend strength of 0, indicating a neutral outlook [2][38][40]. - **Iron Ore**: Expectations are fluctuating, resulting in wide - range oscillations, with a trend strength of 0, indicating a neutral outlook [2][41]. - **Rebar and Hot - Rolled Coil**: Due to sector sentiment resonance, they are in a relatively strong oscillating trend, with a trend strength of 1, suggesting a bullish outlook [2][44][48]. - **Silicon Ferrosilicon and Manganese Silicide**: Cost expectations may rise, leading to a relatively strong oscillating trend, with a trend strength of 1, suggesting a bullish outlook [2][50][53]. - **Coke**: Oscillating with an upward bias, with a trend strength of 0, indicating a neutral outlook [2][55][58]. - **Coking Coal**: Affected by news, oscillating with an upward bias, with a trend strength of 1, suggesting a bullish outlook [2][56][58]. - **Steam Coal**: Daily consumption is recovering, and the market is stabilizing with oscillations, with a trend strength of 0, indicating a neutral outlook [2][60][63]. Agricultural Products - **Palm Oil**: Driven by macro - sentiment, but the fundamental upside is limited [2][62]. - **Soybean Oil**: There is insufficient speculation on US soybean weather, lacking upward drivers [2][62]. - **Soybean Meal**: Waiting for the USDA report, with a rebound and oscillation trend [2][64]. - **Soybean**: Spot prices are stable, and the market is oscillating [2][64]. - **Corn**: Undergoing oscillating adjustments [2][66]. - **Cotton**: The expectation of tight old - crop inventory continues to support futures prices [2][68]. - **Egg**: As the peak season approaches, attention should be paid to the expected difference [2][70]. - **Live Pig**: Spot sentiment is weakening, and there is a divergence between futures and spot prices [2][71]. - **Peanut**: There is support at the lower level [4].