Ben shu shi zuo zhe dui zhong hua kai yuan da sheng(shang xia ce), ru jia dao yi ji, ru jia gu shi jie du, ru jia dao yi xin jie ji ben shu de nong suo,Xiu zheng he ti sheng,Cong er bi jiao xi tong,Quan mian,Wan zheng di zheng he le ru jia si xiang,Ru jia xue shuo,Ru jia wen hua de zui gao zhen li he zui jia zhi hui dao.

These past few days, I have been reading a transcript of your speech at the Military Academy on 18 September [1966] and, to be frank, some of the key formulations in it are highly erroneous.

Ben shu tan tao le Song Ming li xue yu Ming dai wen xue de guan xi, bing yi ren ge feng fan wei zhong dian shen ru yan jiu le Ming dai wen xue de chuang zuo yu liu bian, jian gou le Ming dai wen xue de chuang zuo yu liu bian jian gou le Ming dai wen xue de fa zhan ti xi, dui Ming dai zhong yao zuo jia, zuo pin ti chu le du dao (...) de kan fa. (shrink)

全书分为“科教兴国”、“走向世界”、“弘扬科智”、“控制论与人口”、“断代工程”以及“师师仰贤”六个部分,共收入作品80余篇。.

We attempt to understand the personal incentives that motivate corporate insiders to engage in unethical behavior such as delayed trade disclosure. Delayed disclosure affects corporate transparency and other shareholders in the firm potentially suffer investment losses because they are unaware of insiders’ activities. Using archival data from the 300 largest Australian firms between 2007 and 2011, the results show that risk factors such as insider age and tenure and wealth effects in the form of insider shareholdings affect the likelihood of (...) delayed reporting. Governance positions such as committee membership mitigate this behavior. Our study highlights the importance of considering individual insider’s wealth and risk factors. The self-monitoring role of governance positions is also indicative of the effectiveness of internal corporate governance in the prevention of illegal insider behavior. (shrink)

Previous research studies of traffic networks are mainly based on planar networks and less considered the influence of multilayer networks, which illustrate and represent different appropriate urban traffic modes. Development of rail and road networks is inseparable from the development of a prosperous urban area; thus, research on multilayer networks has scientific potential and fulfils a real need. In this paper, a framework of complex network based integrated multilayer urban growth and optimisation model is proposed, to analyse the complex relationships (...) between the traffic network structure, the population growth, and the urban land-use. The innovation of this paper is the combination of the traffic complex multilayer networks and the “Four Step Model”. With the multiobjective, multilayer network coevolution and optimisation model, a more efficient traffic network layout was generated based on different land-use, population density, and travel speed scenarios. Then, this paper has proved that the proposed CNIMUGOM can save the traffic network construction investment, reduce the travel cost, make the urban traffic network more efficient, and decrease the total traffic flow amount. This research has connected the recent complex multilayer network related study and traditional urban economic model based study. The findings of the study afford to improve the current land-use and traffic integrated models and can provide traffic network planning suggestions for urban agglomeration development. (shrink)

Ben shu gong fen wei liu zhang, qi zhu yao bao kuo: xu lun ; Shao Yong sheng ping ji qi zhu zuo wen ben kao bian ; Shao Yong xue shu si xiang de li shi bei jing ji yuan yuan ; Shao Yong xue shu si xiang yuan yuan; shao yong yi shu yu yi tu si xiang tan jiu deng nei rong.

Simion and Kelp develop the obligation-based account of trustworthiness as a compelling general account of trustworthiness and then apply this account to various instances of AI. By doing so, they explain in what way any AI can be considered trustworthy, as per the general account. Simion and Kelp identify that any account of trustworthiness that relies on assumptions of agency that are too anthropocentric, such as that being trustworthy, must involve goodwill. I argue that goodwill is a necessary condition for (...) being trustworthy and further suggest a network account of trustworthy AI, which retains the goodwill as the essential requirement for the concept of trustworthiness and meanwhile predicts that current AI can be trustworthy. The alternative account suggests that the focus of trustworthy AI is not merely AI technology, but the whole network of AI involving AI technology, AI designers, AI companies, and other social and legal institutions. A trustworthy AI requires that AI technology is reliable and that other involved agents are trustworthy. (shrink)

This book describes the framework of a new theory of science. Over the last hundred years, philosophy of science has developed its theory based on what philosophers perceived what science is and what scientists do. It does not address the basic questions that scientists care about. Thus, this book examines the conventional theories of philosophy of science from a completely different point of view and describes the most difficult problems that scientists are concerned about and how science is conducted. This (...) book is based on the lecture notes under the same title in Honors College at the junior level in UMASS Lowell. It is qualified as a required course in Art and Humanity for science and engineering majors. (shrink)

This study examined the correlation between depressive symptoms, interpersonal sensitivity, and social support before and during the COVID-19 pandemic and verified causal relationships among them. The study used Social Support Scale and Symptom Self-Rating Scale to investigate relevant variables. A total of 1,414 employees from company were recruited for this longitudinal study, which a follow up study was conducted on the same group of participants 1 year later. Paired sample t-test results showed that significant differences were only found in social (...) support, not in depressive symptoms or interpersonal sensitivity. The results of correlation analysis showed that social support, depressive symptoms, and interpersonal sensitivity were significantly correlated between wave 1 and wave 2. The cross-lag autoregressive pathway showed that employees’ social support level, depressive symptoms, and interpersonal sensitivity all showed moderate stability. Crossing paths showed that wave 1 social support could significantly predict wave 2 depressive symptoms and wave 2 interpersonal sensitivity. Wave 1 depressive symptoms could significantly predict wave 2 social support, while wave 1 interpersonal sensitivity could not predict wave 2 social support. Social support can be considered as a protective factor against mental health problems. (shrink)