目的:构建技术竞争对手多维动态识别模型,为企业技术竞争对手的识别提供参考.方法:在动态竞争理论的基础上探讨技术竞争对手的特征,构建技术竞争对手动态识别模型.结果:该模型可以从多个维度动态识别目标企业的技术竞争对手和潜在的核心技术竞争对手.结论:技术竞争对手多维动态识别模型,可以为企业技术竞争对手的识别提供参考.

Hepatocellular carcinoma (HCC) is a common and fatal cancer. People with HCC report higher odds of comorbidity compared with people without HCC. To explore the association between HCC and medical comorbidity, we used routinely collected clinical data and applied a network perspective. In the network perspective, we used correlation analysis and community detection tests that described direct relationships among comorbidities. We collected 14,891 patients with HCC living in Jilin Province, China, between 2016 and 2018. Cirrhosis was the most common comorbidity of HCC. Hypertension and renal cysts were more common in male patients, while chronic viral hepatitis C, hypersplenism, hypoproteinemia, anemia and coronary heart disease were more common in female patients. The proportion of chronic diseases in comorbidities increased with age. The main comorbidity patterns of HCC were: HCC, cirrhosis, chronic viral hepatitis B, portal hypertension, ascites and other common complications of cirrhosis; HCC, hypertension, diabetes mellitus, coronary heart disease and cerebral infarction; and HCC, hypoproteinemia, electrolyte disorders, gastrointestinal hemorrhage and hemorrhagic anemia. Our findings provide comprehensive information on comorbidity patterns of HCC, which may be used for the prevention and management of liver cancer.

为科学有效地识别企业技术竞争对手,构建了技术竞争对手多维动态识别模型.通过多个维度综合分析实现技术竞争对手的动态识别,分析企业的核心技术竞争对手和潜在的核心技术竞争对手,并以我国抗抑郁药领域相关企业为例,验证该模型的有效性、可行性和优越性,为相关企业技术竞争对手的识别提供参考.

Patients with cancer often carry the dual burden of the cancer itself and other co-existing medical conditions. The problems associated with comorbidities among elderly cancer patients are more prominent compared with younger patients. This study aimed to identify common cancer-related comorbidities in elderly patients through routinely collected hospital discharge data and to use association rules to analyze the prevalence and patterns of these comorbidities in elderly cancer patients at different cancer sites. We collected the discharge data of 80,574 patients who were diagnosed with cancers of the esophagus, stomach, colorectum, liver, lung, female breast, cervix, and thyroid between 2016 and 2018. The same number of non-cancer patients were randomly selected as the control group and matched with the case group by age and gender. The results showed that cardiovascular diseases, metabolic diseases, digestive diseases, and anemia were the most common comorbidities in elderly patients with cancer. The comorbidity patterns differed based on the cancer site. Elderly patients with liver cancer had the highest risk of comorbidities, followed by lung cancer, gastrointestinal cancer, thyroid cancer, and reproductive cancer. For example, elderly patients with liver cancer had the higher risk of the comorbid infectious and digestive diseases, whereas patients with lung cancer had the higher risk of the comorbid respiratory system diseases. The findings can assist clinicians in diagnosing comorbidities and contribute to the allocation of medical resources.

从专利实施、产品竞争、企业竞争和延续竞争力4个市场竞争环节分别分析了专利质量积累和专利数量积累在医药企业技术创新中的作用.分析结果表明,专利质量积累对医药企业的专利实施、增强产品竞争力和企业影响力环节有促进作用,专利数量积累对医药企业的专利实施、维持产品竞争力和延续产品竞争力环节有促进作用.根据企业研发实力强弱的不同,对不同类型企业提出了专利积累策略,以帮助医药企业进行合理的专利布局,赢得优势地位.

利用相对专利相似度的计算方法识别技术竞争对手,根据技术竞争圈概念划分技术竞争对手,从而有效识别出吉林省中药企业不同类别的技术竞争对手,为企业的技术战略决策提供参考,促进吉林省中药产业创新发展.

通过矩阵构建、标准化处理、社会网络分析、行业态势解析等环节,基于专利视角,系统分析了我国12家知名的上市中药企业的技术相似程度,从而判断我国中药行业整体技术竞争环境,识别具有技术竞争优势的公司、中药行业潜在的技术竞争对手和合作伙伴,为该行业的企业管理者提供参考.

[目的/意义]完善企业专利威胁预警的理论与方法,解决传统专利预警方法的局限性.[方法/过程]以日本学者大前研一提出的3C战略三角模型为理论基础,从企业顾客维、企业自身维和竞争对手维三个角度确定企业专利威胁预警模型的评估维度,构建企业专利威胁预警的P-L模型,并分析其预警机理.[结果/结论]构建了企业专利威胁预警的P-L模型,该模型可以指导企业从专利产品角度对企业各项技术领域的专利威胁进行动态监测与管理,实现了对企业专利威胁进行更为全面的监测与预警.