AI ethics in July 2016

BACKGROUND: Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also

Previous research indicates adults with eating disorders (EDs) report smaller social networks, and difficulties with social functioning, alongside demonstrating difficulties recognising and regulating emotions in social contexts. Concurrently, those recovered from the illness have discussed the vital role offered by social support and interaction in their recovery. To date, little is known about the social skills and social networks of adolescents with EDs and this study aimed to conduct focus g

// Hong Zheng 1 , Jiansong Ji 2 , Liangcai Zhao 1 , Minjiang Chen 1, 2 , An Shi 3 , Linlin Pan 1 , Yiran Huang 3 , Huajie Zhang 1 , Baijun Dong 3 , Hongchang Gao 1 1 School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China 2 Lishui Central Hospital, The Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, 323000, China 3 Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China Correspondence to: Hongc

Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation us

We investigated the relationship between semantic knowledge and word reading. A sample of 27 6-year-old children read words both in isolation and in context. Lexical knowledge was assessed using general and item-specific tasks. General semantic knowledge was measured using standardized tasks in which children defined words and made judgments about the relationships between words. Item-specific knowledge of to-be-read words was assessed using auditory lexical decision (lexical phonology) and defi

When people interact with socially interactive robots on a regular basis, it could be that people start developing some kind of relationship with such robots. People are able to get attached to several objects in our everyday world. However, the relationships we build with regular objects differ significantly from those we may build with socially interactive robots. In contrast to common nonhuman objects, socially interactive robots act autonomously, which increases people’s expectations about i

With the explosion of social media sites and proliferation of digital computing devices and Internet access, massive amounts of public data is being generated on a daily basis. Efficient techniques/algorithms to analyze this massive amount of data can provide near real-time information about emerging trends and provide early warning in case of an imminent emergency (such as the outbreak of a viral disease). In addition, careful mining of these data can reveal many useful indicators of socioecono

Mobile technology has become a ubiquitous part of everyday life, and the practical utility of mobile devices for improving human health is only now being realized. Wireless medical sensors, or mobile biosensors, are one such technology that is allowing the accumulation of real-time biometric data that may hold valuable clues for treating even some of the most devastating human diseases. From wearable gadgets to sophisticated implantable medical devices, the information retrieved from mobile tech

In bioethics, the first decade of the twenty-first century was characterized by the emergence of interest in the ethical, legal, and social aspects of neuroscience research. At the same time an ongoing extension of the topics and phenomena addressed by neuroscientists was observed alongside its rise as one of the leading disciplines in the biomedical science. One of these phenomena addressed by neuroscientists and moral psychologists was the neural processes involved in moral decision-making. To