Self-adaptive Scouting---Autonomous Experimentation for Systems Biology

We introduce a new algorithm for autonomous experimentation. This algorithm uses evolution to drive exploration during scientific discovery. Population size and mutation strength are self-adaptive. The only variables remaining to be set are the limits and maximum resolution of the parameters in the experiment. In practice, these are determined by instrumentation. Aside from conducting physical experiments, the algorithm is a valuable tool for investigating simulation models of biological systems. We illustrate the operation of the algorithm on a model of HIV-immune system interaction. Finally, the difference between scouting and optimization is discussed

Valuing Monitoring Networks for Invasive Species: The Case of Soybean Rust

Crop Production/Industries,

Nonformal education for sustainable development: A Bangladeshi perspective

Sustainable development means ‘development that meets the needs of the present without compromising the ability of future generations to meet their needs’ (WCED, 1987:43). Meanwhile, any education worth the name is a life-long process for the betterment of human well-being. The social purposes of education are located in the long term, and it is right therefore that education should be oriented towards the construction and maintenance of a sustainable future. However, many children in developing countries get very little education. They have little chance to attend even low-quality primary schools, and dropout and failure rates are alarming; many leave semi-literate, soon to relapse into illiteracy, with disastrous consequences for their participation as individuals in the creation of a sustainable world. Moreover, the majority of those who are at school experience a traditional, formal education paradigm, aimed primarily at selecting and building human capital for economic growth. This paradigm is seen to be increasingly at odds with the concept of education for sustainability. Since the 1960s, nonformal education has comprised a wide spectrum of educational and training activities organised outside the formal school system. Innovative learning methods are aimed at the development of practical skills, including matters of health, sanitation, literacy, to be applied in real life situations. As an alternative approach to basic education, the nonformal sector as a whole thus increases pressure for change in the wider education system. Drawing on a three-year empirical study of young people at the point of transition between the nonformal and formal sectors of schooling in Bangladesh, this paper will develop a framework for analysing how the nonformal education paradigm could usefully and realistically increase practice for sustainability in the formal system

Beyond First/Last Mile Active Transportation - BikeShare@UH

Bike sharing is a new green transportation solution that has been developed and adopted at various cities around the world. In this paper, we present the process and results of the design and prototypes that a group of undergraduate students developed for a BikeShare@UH program during Summer 2017. After presenting the detailed results of four project teams focusing on customer discovery, bike share station (BSS) location identification, cloud-based mobile computing platform for user engagement and bike share program operation and management, smart lock, and alternative energy source based on PV panel. With the phase one implementation at the University planned in Spring 2018, we anticipate gathering real time data and feedback to improve the system.Cockrell School of Engineerin

Artificial intelligence for supplier scouting: an information processing theory approach

Purpose: The objective of this paper is to study the role of artificial intelligence (AI) in supporting the supplier scouting process, considering the information and the capabilities required to do so. Design/methodology/approach: Twelve cases of IT and information providers offering AI-based scouting solutions were studied. The unit of analysis was the AI-based scouting solution, specifically the relationship between the provider and the buyer. Information processing theory (IPT) was adopted to address information processing needs (IPNs) and capabilities (IPCs). Findings: Among buyers, IPNs in supplier scouting are high. IT and information providers can meet the needs of buyers through IPCs enabled by AI-based solutions. In this way, the fit between needs and capabilities can be reached. Originality/value: The investigation of the role of AI in supplier scouting is original. The application of IPT to study the impact of AI in business processes is also novel. This paper contributes by investigating a phenomenon that is still unexplored and unconsolidated in a business context

BT CORN AND INSECT RESISTANCE: AN ECONOMIC ASSESSMENT OF REFUGES

Genetically engineered crops offer farmers a new option for controlling pests. The high efficacy of these pesticidal crops, combined with the potential for widespread adoption, has raised concerns that pest resistance may prematurely diminish their value. In response to these concerns, the Environmental Protection Agency requires resistance management plans. Current resistance management plans rely on a high-dose refuge strategy. This analysis extends the current framework for evaluating high-dose refuge strategies to include a measure of agricultural productivity and conventional pesticide use. The economic tradeoff relative to agricultural productivity, conventional pesticide use, and pest resistance is assessed when Bt corn is planted to control the European corn borer.Crop Production/Industries,

Advanced study of coastal zone oceanographic requirements for ERTS E and F

Earth Resources Technology Satellites E and F orbits and remote sensor instruments for coastal oceanographic data collectio