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91.
Nathan Crick 《Zygon》2019,54(3):648-664
In an epoch marked by the threat of global warming, the conflicts between science and religion are no longer simply matters that concern only intellectual elites and armchair philosophers; they are in many ways matters that will determine the degree to which we can meet the challenges of our times. John H. Evans's Morals Not Knowledge represents an important provocation for those committed not only to using scientific method as a resource for making moral judgments but also to creating political alliances with religious constituencies. In this important work, Evans argues that most conflicts between science and religion do not concern a clash between two contradictory ways of knowing, but rather a clash over our moral responsibilities and ultimate values. In my response to his work, I suggest that integrating both John Dewey's pragmatic understanding of the moral situation and Kenneth Burke's rhetorical interpretation of motives helps bolster Evans's cause and provides support for a political movement that aims to bridge the divide between science and religion in the epoch of the Anthropocene. 相似文献
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Detecting in prior bearing faults is an essential task of machine health monitoring because bearings are the vital components of rotary machines. The performance of traditional intelligent fault diagnosis methods depend on feature extraction of fault signals, which requires signal processing techniques, expert knowledge, and human labor. Recently, deep learning algorithms have been applied widely in machine health monitoring. With the capacity of automatically learning complex features of input data, deep learning architectures have great potential to overcome drawbacks of traditional intelligent fault diagnosis. This paper proposes a method for diagnosing bearing faults based on a deep structure of convolutional neural network. Using vibration signals directly as input data, the proposed method is an automatic fault diagnosis system which does not require any feature extraction techniques and achieves very high accuracy and robustness under noisy environments. 相似文献
94.
People are becoming more and more humanized in the process of understanding the law. According to the right to discipline, the law has its own core setting factors, while some limits can't reach people's desire. Therefore, the legal and illegal mode of transcending rights is very important. In order to analyze the legal form of modern rights, in this paper, the cognitive learning and memory process of human brain were simulated through the artificial neural network and the understanding of human brain structure, and the role of law, discipline and governance was reflected. In the study, the structure and algorithm of the model neural network were optimized, the memory forgetting curve mechanism that can simulate the human brain was introduced, and thus the network recognition rate was improved. And in the algorithm, the calculation of matching degree was avoided, and the computational complexity was reduced to the sample. Then the sample was compared with the SOM, ART1, and PNN algorithms. The experimental simulation results show that the recognition speed of this sample is 1.9 times faster than that of ART1, 58 times than that of SOM, and 1.5 times than that of the PNN network. 相似文献
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Effective team communication, a fundamental part of team coordination, is crucial for both effective Team Situation Awareness (TSA) and team performance. In this study, we looked at the role that team interaction (i.e., more specifically team verbal behaviors) played in TSA and team performance in order to better understand Human-Autonomy Teaming (HAT). We first analyzed team verbal behaviors (i.e., pushing and pulling information) across conditions of human-autonomy teams and human-human teams, and then analyzed their relationship with TSA and team performance via Growth Curve Modelling (GCM). Good teamwork involves anticipating the needs of teammates and that means pushing information before it is requested. Therefore, if things are going well, there should be little need for pulling information. In this study’s task, participants were instructed to push information to others, and over time master the specific timing of information sharing to the intended recipient. Findings indicate that pushing information was positively associated with TSA and team performance, and human-autonomy teams had lower levels of both pushing and pulling information than all-human teams. Through this study, we have learned that anticipation of other team member behaviors and information requirements in human-autonomy teams are important for effective TSA and team performance. In order to make HAT more effective in terms of teamwork, we need to develop mechanisms to enhance pushing information within HAT. 相似文献
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The Sugeno adaptive fuzzy neural network using training data is a good approximation to model different systems. The large number of adaptive neuro-fuzzy inference system (ANFIS) input features is a major challenge in using ANFIS and is not applicable with increased parameters. We present a solution for many input features solving modular problems; we created a multi-layer architecture of SUB-ANFIS (MLA-ANFIS) for this purpose. Different topologies were created with various combinations of multiple input features, and an error indicator was calculated for each combination of topologies. Finally, the best topology was chosen among the states with the highest possible performance. We implemented a multi-layered approach based on 365-day concrete compressive strength data with eight input features and the optimized MLA-ANFIS topology (5-3-1) for this purpose from different ANFIS topologies and neural networks. Finally, the results from five other datasets prove the impact of the proposed MLA-ANFIS approach compared to the neural network method. 相似文献
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以22篇纵向社会网络分析研究文献(30项独立样本研究,27746个被试)为对象,使用元分析技术探讨青少年偏差行为的同伴选择和同伴影响效应假设。结果发现:(1)同伴选择和同伴影响效应都显著,但同伴影响效应显著大于同伴选择效应;(2)青少年发展阶段在同伴选择和同伴影响过程中存在显著的调节效应。在同伴选择过程中,青少年早期阶段不显著,而中、晚期阶段显著;在同伴影响过程中,青少年早、中期显著,晚期阶段不显著。(3)偏差行为类型在同伴选择和同伴影响效应中的调节效应不显著。(4)网络数量在同伴影响过程中存在显著的调节效应,随着网络数量增加同伴影响效应越可能成立。结论,中晚期青少年会基于偏差行为相似性选择朋友,早中期青少年会受朋友的影响而产生偏差行为。 相似文献
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Sensitive Topics,Missing Data,and Refusal in Social Network Studies: An Ethical Examination 下载免费PDF全文
Erin Rose Ellison Regina Day Langhout 《American journal of community psychology》2017,60(3-4):327-335
We describe our ethics‐driven process of addressing missing data within a social network study about accountability for racism, classism, sexism, heterosexism, cis‐sexism, ableism, and other forms of oppression among social justice union organizers. During data collection, some would‐be participants did not return emails and others explicitly refused to engage in the research. All refusals came from women of color. We faced an ethical dilemma: Should we continue to seek participation from those who had not yet responded, with the hopes of recruiting more women of color from within the network so their perspectives would not be tokenized? Or, should we stop asking those who had been contacted multiple times, which would compromise the social network data and analysis? We delineate ways in which current discussions of the ethics of social network studies fell short, given our framework and our community psychology (CP ) values. We outline literature that was helpful in thinking through this challenge; we looked outside of CP to the decolonization literature on refusal. Lessons learned include listening for the possible meanings of refusals and considering the level of engagement and the labor required of participants when designing research studies. 相似文献