Group 1 - The establishment of Guangdong Hexi Atomic Intelligent Computing Center Co., Ltd. has been registered with a capital of 50 million yuan, focusing on data processing, information system integration, cloud computing technology services, and internet data services [1][2] - The company is located in the Chancheng District of Foshan City, Guangdong Province, and is classified under the software and information technology services industry [2] - The major shareholder is Daoshi Technology Co., Ltd. (300409.SZ), holding an 80% stake, while Guangdong Chip Peisen Technology Co., Ltd. holds the remaining 20% [3] Group 2 - The business scope includes general projects such as data processing and storage support services, information system integration services, and cloud platform-based business outsourcing services [2] - The company is currently in operation with a business license valid until August 4, 2025 [2] - The registered address is located at No. 1, Yishui Third Street, Nanzhuang Town, Chancheng District, Foshan City, Guangdong Province [2]

本文源自：金融界 作者：情报员 金融界2025年8月5日消息，国家知识产权局信息显示，浪潮通用软件有限公司申请一项名为"用于企业 筛选的数据处理方法及系统"的专利，公开号CN120410756A，申请日期为2025年04月。 专利摘要显示，本发明属于数据处理技术领域。提供了一种用于企业筛选的数据处理方法及系统，获取 企业财报数据以及经营数据，根据与所述企业财报数据相关联的经营数据，对所述企业财报数据进行缺 失值补充，并去掉异常值，得到企业财报修正数据，其中，所述预设的筛选公式以及所述企业财报修正 数据均根据新的标准要求的变化自动更新，根据企业对应的金融板块属性，调用预设的筛选公式对所述 企业财报修正数据和所述经营数据进行计算，得到多个筛选用的指标，当所述指标满足筛选要求时，判 定企业通过筛选，将筛选通过的结果与满足设定要求的所述指标进行展示；本发明满足了个性化的需 求，避免了数据的偏好选择带来的精度缺失。 天眼查资料显示，浪潮通用软件有限公司，成立于1994年，位于济南市，是一家以从事软件和信息技术 服务业为主的企业。企业注册资本30000万人民币。通过天眼查大数据分析，浪潮通用软件有限公司共 对外投资了17 ...

金融界2025年8月4日消息，国家知识产权局信息显示，联想（北京）有限公司申请一项名为"数据处理 方法及电子设备"的专利，公开号CN120407872A，申请日期为2025年04月。 天眼查资料显示，联想（北京）有限公司，成立于1992年，位于北京市，是一家以从事计算机、通信和 其他电子设备制造业为主的企业。企业注册资本565000万港元。通过天眼查大数据分析，联想（北京） 有限公司共对外投资了107家企业，参与招投标项目5000次，财产线索方面有商标信息1751条，专利信 息5000条，此外企业还拥有行政许可238个。 本文源自：金融界 作者：情报员 专利摘要显示，本申请公开了一种数据处理方法及电子设备，所述方法包括：获得第一向量；所述第一 向量为高维向量；对所述第一向量进行空间分布变换，以得到第二向量；基于所述第二向量，在目标向 量集合中查找满足向量相似条件的第三向量；其中，所述目标向量集合中包括多个重构向量，所述重构 向量基于数据库中的原始向量经过所述空间分布变换以及向量重构得到，所述重构向量中的子向量为低 维向量；对所述第三向量进行空间分布逆变换，以得到第四向量。 ...

Group 1 - The core point of the news is that Kingdee Software (China) Co., Ltd. has applied for a patent for a data processing method and related equipment, aimed at improving the efficiency of document processing [1] - The patent application was published under the number CN120409715A, with an application date of April 2025 [1] - The method described in the patent involves updating formulas based on request information, determining target input and output fields, and generating a target linear queue to represent the calculation order of these fields [1] Group 2 - Kingdee Software (China) Co., Ltd. was established in 1993 and is located in Shenzhen, primarily engaged in software and information technology services [2] - The company has a registered capital of 1.4 billion RMB [2] - Kingdee has invested in 65 companies, participated in 3,330 bidding projects, and holds 1,858 patents along with 801 trademark registrations [2]

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The report introduces commonly used Wind function modules and data in credit bond research, including primary and secondary market modules and relevant data processing methods [4]. 3. Summary by Directory 3.1 Wind Primary Market Module Introduction - **Querying Credit Bond Issuance and Maturity Details**: For non - financial credit bonds, select enterprise bonds, corporate bonds, medium - term notes, short - term financing bills, and private placement notes; for financial bonds, select financial bonds and deselect policy bank bonds. Conceptual sectors and enterprise nature can also be selected [11]. - **Querying Inter - bank Credit Bond Approval Progress**: Use the "Bond - Special Statistics - Primary Market - Issuance Registration - NAFMII Bond Registration Statistics - NAFMII Bond Registration Review Progress" path [12]. - **Querying Exchange Credit Bond Approval Progress**: Use the "Bond - Special Statistics - Primary Market - Issuance Registration - Corporate Bond Issuance Review Progress" and "Bond - Special Statistics - Primary Market - Issuance Registration - Enterprise Bond Issuance Review Progress" paths [13][14]. - **Statistical Credit Bond Raised Funds Usage**: Use the "Bond - Special Statistics - Credit Bond Raised Funds Allocation" path [15]. - **Finding Bonds Meeting Specific Conditions**: Use the "Bond - Multi - dimensional Data - Bond Screening" path and set conditional expressions [16]. 3.2 Wind Secondary Market Module Introduction - **Credit Bond Market Monitoring**: Use the "Bond - Bond Secondary Market - Transaction Statistics" path to display the most active bond information under the subject rating and remaining term [23][24]. - **Querying Credit Bond Inventory Details**: Use the "Bond - Market Overview - Inventory Statistics (by Bond Type)" path [25]. - **Distinguishing Broker Transactions and Platform Transactions**: Broker transactions involve brokers helping investors find trading counterparts, while platform transactions occur on CFETS or exchange platforms. Broker transaction data is suitable for constructing price indicators, and platform transaction data is suitable for constructing volume indicators [26][64]. - **Querying First - time Default Issuers**: Use the "Bond - Special Statistics - Credit Bond Research - Bond Default - Enterprise First - time Default Report" path and manually exclude issuers with previous default/extension situations [32][33]. - **Querying Default Bond Details**: Use the "Bond - Special Statistics - Credit Bond Research - Bond Default - Bond Default and Extension Summary" path and exclude duplicate bonds, exchangeable/convertible bonds, and cross - market bonds [34]. - **Exporting ChinaBond Index Market Performance**: Use the "Index - Index Analysis - Index Directory" path [36]. - **Constructing a Bond Portfolio**: Use the "Asset Management - Investment Research - Portfolio Management" path, including adjusting the starting cash amount and entering bond holdings and adjusting weights [37][38][39]. - **Tracking Bond Portfolio Performance**: Use the "Asset Management - Investment Research - Portfolio Management - Portfolio Report" path [40]. - **Conducting Attribution Analysis of Bond Portfolio Performance**: Use the "Asset Management - Investment Research - Portfolio Management - Performance Attribution" path [43]. 3.3 Credit Research Common Data Processing Methods - **Credit Bond Net Financing**: Export bond issuance and maturity details within a specific time range, divide bonds into industrial bonds and urban investment bonds based on the urban investment list, and calculate the net financing by subtracting the maturity amount from the issuance amount [49]. - **Credit Bond Primary Market Issuance Heat**: Refer to subscription multiples and the difference between coupon rate and bid - rate floor. Subscription multiples are calculated as the total bid (subscription) volume divided by the actual issuance amount, and bonds without relevant data should be excluded [50][54]. - **Credit Bond Issuance Approval Situation**: For urban investment bonds, refer to the completed registration scale and its proportion, and the number of feedbacks from the inter - bank market or exchange before listing [58]. - **Analyzing Credit Bond Valuation Distribution**: Export inventory credit bond details, match each urban investment bond to its corresponding province, divide the remaining exercise period into intervals, and use the SUMIFS function to calculate the weighted average valuation [59][60]. - **Observing Credit Bond Secondary Market Transactions**: Use both broker transaction data and platform transaction data. Broker transaction data is used for price indicators such as transaction deviation, transaction yield, and high - valuation transaction proportion; platform transaction data is used for volume indicators such as transaction term and turnover rate [64]. - **Volume Indicators**: Weighted transaction term is calculated based on platform data by excluding bonds with a remaining term of less than half a year and using transaction amount as the weight; transaction number is the sum of each bond's transaction numbers [65]. - **Price Indicators**: Transaction yield is calculated as the weighted average of transaction amounts; transaction deviation reflects the market's buying sentiment; high - valuation transaction proportion is the proportion of transactions with a yield 5bp higher than the valuation [71].

Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Data Processing Method, Device, and Electronic Equipment," with publication number CN120335915A, filed on March 2025 [1] - The patent describes a method for data processing that includes obtaining a request to present a UEFI system configuration interface and reading a first configuration file from a read-only storage medium [1] - The first configuration file is written to the read-only storage medium before the UEFI system leaves the factory, and the method involves generating at least one target configuration item based on the first and a second configuration file [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [2] - The company has a registered capital of 565 million HKD and has invested in 107 enterprises, participated in 5,000 bidding projects, and holds 1,751 trademark records and 5,000 patent records [2] - Additionally, Lenovo (Beijing) Co., Ltd. possesses 238 administrative licenses [2]

Group 1 - The State Intellectual Property Office of China has published a patent application by Shandong Guodun Network Information Technology Co., Ltd. for an electronic signature processing method and system related to housing fund business process data, with publication number CN120297920A and application date of June 2025 [1] - The patent involves a method for processing housing fund contracts in PDF format, extracting key data and compensation data, and assessing tampering risks through hash value calculations [1] - The company has been active in the software and information technology services sector since its establishment in 2016, with a registered capital of 50 million RMB [2] Group 2 - Shandong Guodun Network Information Technology Co., Ltd. has made one external investment, participated in 56 bidding projects, and holds 4 patents along with 9 trademark registrations [2] - The company has also obtained 15 administrative licenses, indicating a diverse operational capability within its industry [2]

Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "A Data Processing Method, Device, Equipment, Storage Medium, and Product" with publication number CN120296039A, filed on January 2024 [1] - The patent application describes a data processing method that includes obtaining a query plan, splitting it into multiple operator chains, and performing compilation analysis to determine execution modes based on compilation benefit and memory indication information [1] - The method aims to adaptively integrate one or more execution modes to complete the query plan, enhancing efficiency in data processing [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has invested in 15 enterprises, participated in 260 bidding projects, and holds 5000 trademark and patent information records, along with 472 administrative licenses [2]

Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "A Data Processing Method, Device, Equipment, and Readable Storage Medium," with publication number CN120256708A and application date of January 2024 [1] - The patent describes a method that includes obtaining sample data for model training based on historical resource data related to sample objects and their past business operations [1] - The method involves using a recommendation model to perform probabilistic predictions on the sample data, optimizing the model through monotonic transformations of the predicted probabilities for various business indicators [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has made investments in 15 enterprises, participated in 260 bidding projects, and holds 5000 trademark and patent records, along with 469 administrative licenses [2]

Core Viewpoint - AI-assisted medical devices are at a critical juncture for large-scale hospital use, necessitating the establishment of a standardized system [1][3]. Group 1: Policy and Regulation - The document issued by the Central Committee and the State Council emphasizes the need for innovative support mechanisms for emerging industries, particularly in AI-assisted medical devices [1][3]. - The exploration of access and application mechanisms for AI-assisted medical devices is highlighted, focusing on data collection, integration, sharing, and compliance under safe and controllable conditions [1][4]. Group 2: Industry Trends - The healthcare sector is witnessing a deep transformation due to AI technologies, with numerous medical device companies collaborating with clinical institutions [3]. - Shenzhen is positioning itself as a pioneer city for AI innovation in healthcare, with nearly 450 real application scenarios being launched [3]. Group 3: Data Management - Data is identified as a key element in AI, becoming crucial for enhancing precision and iteration speed in AI applications [4][5]. - The need for rules and standards regarding data ownership, usage rights, and pricing transactions for AI medical devices is emphasized [5]. Group 4: Market Dynamics - The inclusion of AI-assisted diagnosis in the medical service pricing structure by the National Healthcare Security Administration indicates a shift in how hospitals can utilize AI in diagnostics [6]. - Despite the integration of AI into the pricing system, challenges remain regarding the establishment of unified pricing standards for AI medical devices [6].