关于压裂支撑剂评价实验的若干思考

水力压裂是油气井增产、水井增注的有效措施,压裂支撑剂性能的好坏直接影响人工裂缝的导流能力。在从事支撑剂性能评价试验中,发现若干对支撑剂性能评价试验的影响因素。研究结果对压裂支撑剂的评价标准以及下一步有效地改进具有重要的指导意义。     

HPKL液流转向剂安全性能测试

为了更好地控制高含水油田注采无效循环,油田迫切需要开展深部液流转向与调驱技术研究,通过注入化学剂迫使液流转向,降低油水界面张力达到驱油效果。目前常用化学剂有上百种,且大多数都是聚合物合成的高分子材料,其对环境伤害的程度各不相同。分析了HPKL转向剂急性中毒性测试、生物累积性测试实验的过程和结果,测得了HPKL的EC50值;确定了HPKL转向剂生物毒性为低毒、无生物累积,对环境损害程度小。     

浅层出砂井地层测试工艺探讨与应用

为解决海上油井浅层出砂井中封隔器密封性和座封、出砂控制、排液方式等问题,根据浅层出砂井的地质特征,通过增加管柱重量、优选测试工具及管柱设计、排液方式等测试工艺措施,探讨了螺杆泵排液＋钻铤＋测试阀测试管柱结构的可行性,通过现场应用,该测试工艺在浅层出砂井中具有极强相容性及优越性。     

The search for asterisks: Compromised statistical tests and flawed theories

This paper discusses repeated tests and the resultant reporting of statistical significance when it is actually not present. These errors interact with professional norms such as biases against both replication studies and ‘non‐results’ to undermine the efficacy of our base of empirically tested theory. This raises serious issues for the future of strategic management research. Suggestions are made for dealing with these issues substantively and in terms of professional norms. Copyright © 2011 John Wiley & Sons, Ltd.     

Advertising targeting young children: an overview of 10 years of research (2006–2016)

A review of 138 published academic articles was conducted to provide an up-to-date and comprehensive overview of academic research of the past decade (2006–2016) on advertising directed to young children up to 12 years old. The research overview resulted in a conceptual framework comprising five research domains that were found to be most prominent. For each of these five domains, an overview, discussion and future research agenda is presented. We conclude that much of the research of the past decade included food advertising and its effects. Progress has been made in the domain of children's advertising processing, specifically with regard to advertising literacy. Despite the growing importance of embedded advertising, many of the new ad formats remain neglected (e.g. native and mobile advertising). Additionally, only a few studies investigated which executional factors (e.g. humour) are effective in advertisements to target children and social influences are also less often considered.     

How do racial minority consumers process a model race cue in CSR advertising? A comparison of Asian and White Americans

This study proposes that model race and race of consumers play an important role in processing corporate social responsibility (CSR) advertising. The aim of the study is to examine why a racial mismatch between target consumers and featured model race might work better among Asian Americans in the context of CSR ads, guided by motivated reasoning and self-referencing information processing mechanisms. Through an experiment, the study finds that people who perceive that money means social status tend to have more positive responses to CSR ads regardless of their race or ethnicity. In addition, Asian Americans who highly equate money with status are likely to evaluate CSR ads featuring a white model more positively than the ad with an Asian model. The study also reveals that Asian Americans with higher money as status perception tend to self-reference only when they view the CSR ad featuring a white model, but not an Asian model. However, White Americans do not vary in self-referencing based on model’s race when viewing the CSR ads.     

Adaptive market hypothesis: The story of the stock markets and COVID-19 pandemic

Since the level of markets’ information efficiency is key to profiteering by strategic players, Shocks; such as the COVID-19 pandemic, can play a role in the nature of markets’ information efficiency. The martingale difference and conditional heteroscedasticity tests are used to evaluate the Adaptive form of market efficiency for four (4) major stock market indexes in the top four affected economies during the COVID-19 pandemic (USA, Brazil, India, and Russia). Generally, based on the martingale difference spectral test, there is no evidence of a substantial change in the levels of market efficiency for the US and Brazilian stock markets in the short, medium, and long term. However, in the long term, the Indian stock markets became more information inefficient after the coronavirus outbreak while the Russian stock markets become more information efficient. Intuitively, these affect the forecastability and predictability of these markets’ prices and/or returns. Thereby, informing the strategic and trading actions of stock investors (including arbitrageurs) towards profit optimization, portfolio asset selection, portfolio asset adjustment, etc. Similar policy implications are further discussed.     

Understanding machine learning-based forecasting methods: A decomposition framework and research opportunities

Machine learning (ML) methods are gaining popularity in the forecasting field, as they have shown strong empirical performance in the recent M4 and M5 competitions, as well as in several Kaggle competitions. However, understanding why and how these methods work well for forecasting is still at a very early stage, partly due to their complexity. In this paper, I present a framework for regression-based ML that provides researchers with a common language and abstraction to aid in their study. To demonstrate the utility of the framework, I show how it can be used to map and compare ML methods used in the M5 Uncertainty competition. I then describe how the framework can be used together with ablation testing to systematically study their performance. Lastly, I use the framework to provide an overview of the solution space in regression-based ML forecasting, identifying areas for further research.     

玩具机械物理能力验证技术分析及建议

文章介绍了广州海关技术中心玩具婴童用品实验室历年来组织的玩具机械物理领域的能力验证计划项目的基本情况,详细分析了各项目的技术要点和常见不满意问题,总结了现阶段该领域能力验证计划的开展情况。     

The risk of programmatic advertising: Effects of website quality on advertising effectiveness

Programmatic advertising is prevalent in online advertising. However, it offers managers limited control over the type of website where the ad appears, resulting in brand safety issues. Aware of the risk that ads may potentially display on websites of poor quality (nonpremium websites), managers have developed strategies to reduce this risk. Due to the lack of empirical insights, these strategies are based on “gut feeling” and depend on campaign type (branding versus performance) and brand type (premium versus nonpremium). Our research addresses this void and analyzes website quality effects for premium and nonpremium brands in branding and performance campaigns. Our results show that effects, indeed, vary depending on campaign and brand type, but not in ways that managers might expect. When a branding ad appears on a nonpremium website, attitudes towards the ad and the brand deteriorate, but only for premium brands. In contrast, website quality does not affect awareness for either type of brand. When a performance ad appears on a nonpremium website, it generates fewer clicks; this effect is stronger for premium brands. Overall, these findings enrich our understanding of the consequences of programmatic advertising and highlight the crucial role of website quality dependent on campaign goal and brand type.