Internet sources for nursing and allied health

Lists and describes available Internet resources for nursing and allied health professionals. Procedure for subscribing and unsubscribing from the discussion lists; Newsgroups available for nurses; Accessing to gopher servers

A coral reef as an analogical model to promote collaborative learning on cultural and ethnic diversity in science

An exercise designed to engage students in critical thinking and active conversation about gender, diversity, and ethnicity in science is described. First semester college science students frequently do not realize that individual scholarship is an integral component of global scholarship and that scientific progress stems from the scholarly contributions of numerous individuals. The described exercise initially uses a collage of a coral reef—chosen both for its visual impact and because it is an excellent model of diversity—highlighting various aspects of life on a reef. This is followed by a trawl of library resources to enable the development of a chronology of significant contributions and practices in the field of medicine and the identification of historical and contemporary scholars and practitioners by race, cultural heritage, and gender

Success Has Its Challenges Too

Librarians at Indiana University-Purdue University Indianapolis (IUPUI) have been involved with the School of Sciences\u27 SCI 120 Learning Communities for First-Year Students since their introduction in 1997. From curriculum development to teaching in the classroom, librarian expertise and experience has been valued and sought out. However, with this success comes challenges. How do we (the science librarians) manage the extensive time commitment required by these courses? How do we streamline the grading of library exercises? How can the instructional team members easily share instructional materials? As the title of the 2004 LOEX conference states, the IUPUI science librarians have been \u27refocusing our response\u27 to meet these challenges, and would like to share our ideas as well as experiences

Projecting battery adoption in the prosumer era

Solar photovoltaic (PV) has the potential to make an important contribution to global sustainability, however, the misalignment between solar production and residential demand presents challenges for widespread PV adoption. Combining PV and storage is one way that this challenge can be overcome. In this work, we use one year of smart meter data from 369 consumers in three different US regions and calculate their economic benefits from both PV and coupled PV-battery systems. We consider a range of different electricity pricing schemes from the consumer regions, including both Feed-In-Tariff (FIT) and Net-Energy-Metering (NEM) policies. Significantly, our work uses real demand data, real PV generation data and optimizes each individual consumer's battery operation to minimize their electricity bill. Furthermore, we study the effect of batteries on consumer self-sufficiency, which is important because increasing self-sufficiency is a primary motivating factor behind battery adoption. We find that PV is profitable for the majority of consumers with most current pricing scenarios but PV-battery systems are always less profitable. However, batteries can provide very significant increases in self-sufficiency and we find that a majority of consumers can exceed 70% self-sufficiency with a 20 kW h battery and a PV system that produces the equivalent of their consumption. This is compared to an average self-sufficiency of 35% with PV only. Finally, recognizing that a number of factors could lead to profitable batteries in future, we study the sensitivity of battery profitability to future electricity prices in a FIT scenario, also accounting for future decreases in PV and battery costs. We find that if PV-battery systems are to become better investments than PV-only for the majority of consumers, retail electricity prices above $0.40/kW h and FIT rates below$0.05/kW h are a likely requirement

CompILE: Compositional Imitation Learning and Execution

We introduce Compositional Imitation Learning and Execution (CompILE): a framework for learning reusable, variable-length segments of hierarchically-structured behavior from demonstration data. CompILE uses a novel unsupervised, fully-differentiable sequence segmentation module to learn latent encodings of sequential data that can be re-composed and executed to perform new tasks. Once trained, our model generalizes to sequences of longer length and from environment instances not seen during training. We evaluate CompILE in a challenging 2D multi-task environment and a continuous control task, and show that it can find correct task boundaries and event encodings in an unsupervised manner. Latent codes and associated behavior policies discovered by CompILE can be used by a hierarchical agent, where the high-level policy selects actions in the latent code space, and the low-level, task-specific policies are simply the learned decoders. We found that our CompILE-based agent could learn given only sparse rewards, where agents without task-specific policies struggle.Comment: ICML (2019

MEMS 411: Giant Pouched Rat Trap

Dr. Braude from the Biology department at Washington University in St. Louis is currently working on a project training giant Gambian pouched rats to find mines and other bombs in former conflict zones. In order to trap Gambian pouched rats, Professor Braude asked a few MEMS 411 Senior Design groups to design and build a trap that can safely capture the rats. The trap had to be about 2-3 feet long, 6 inches in diameter, completely mechanical, simple, and it had to cost less than 30 USD to build