Reverend Charles J. Lees, S.M., Appointed Vice President for Administration and Planning

News release announces that the recommendation of Raymond A. Roesch, S.M., has been approved, appointing Reverend Charles J. Lees, S.M., as Vice President for Administration and Planning

System requirements and design features of Space Station Remote Manipulator System mechanisms

The Space Station Remote Manipulator System (SSRMS) is a long robotic arm for handling large objects/payloads on the International Space Station Freedom. The mechanical components of the SSRMS include seven joints, two latching end effectors (LEEs), and two boom assemblies. The joints and LEEs are complex aerospace mechanisms. The system requirements and design features of these mechanisms are presented. All seven joints of the SSRMS have identical functional performance. The two LEES are identical. This feature allows either end of the SSRMS to be used as tip or base. As compared to the end effector of the Shuttle Remote Manipulator System, the LEE has a latch and umbilical mechanism in addition to the snare and rigidize mechanisms. The latches increase the interface preload and allow large payloads (up to 116,000 Kg) to be handled. The umbilical connectors provide power, data, and video signal transfer capability to/from the SSRMS

Pemberdayaan Masyarakat Desa Wakah, Kecamatan Ngrambe melalui Pembuatan Pakan Lele Alternatif dari Ampas Tahu dan Probiotik

Wakah Village, Ngrambe Subdistrict is one of catfish farming village in Ngawi District. The obstacles faced by catfish farmers are the high price of feed, thus increasing the cost of production, and also capital. Catfish farmers have not been using alternative feed and still rely on pellet which is produced by factories. Alternative solutions that can be done is to make pellets from local ingredients such as tofu-lees and probiotics. The purpose of this program is to empower Wakah community in making alternative catfish feed of tofu-lees and probiotics. The methods used are the preparation of the program, the manufacturer of the product and the proximate analysis, the making of tutorials videos and guide books, socialization and training, mentoring, monitoring, and evaluating. The result of society's empowerment is catfish farmers in the group Margo Rukun has potential ability to develop fish pellets from the tofu-lees and probiotics. Proximate analysis of fish pellets from tofu and probiotics showed a 32.6% protein, 6.2% fat, 4.5% reducing sugar, 4.8% crude fiber, and 0.3% Ca mineral. Video tutorials and guide books talking about fish pellets made of tofu-lees and probiotics are able to be used by society. Catfish farmers in group Margo Rukun have an ability in making pellets from tofu-lees and probiotics independently with the percentage of material achievement is 80% of the total number of group members. The difficulties which are faced by the farmers during breeding the catfish are weather, supporting material, and marketing. The result of monitoring and evaluation show that catfish farmers Margo Rukun is committed to developing fish pellets from tofu-lees and probiotics as the effort of program sustainability

Growth of large single crystals of Rare Earth Hexaborides

Single crystal growth of several rare earth hexaborides has been carried out by the floating zone technique. A high power Xenon arc lamp image furnace was used for the crystal growth. Large high quality crystals of LaB$_{6}$, CeB$_{6}$, PrB$_{6}$ and NdB$_{6}$, about 1 cc in volume have been obtained. Crystals of all these compounds have also been grown using enriched $^{11}$B isotope for use in neutron scattering experiments.Comment: 3 pages, 3 figures, in press (J. Crystal Growth

Central area redd project [Ribble, Hodder and Lune catchments]

Redd counting is an integral part of most Fishery Officers duties. The number and distribution of salmonid redds throughout salmonid catchments provides invaluable information on the range and extent of spawning by both salmon and sea trout. A project was initiated by the Fisheries Science and Management Team of Central Area, North West Region in England in liaison with the Flood Defence function. The main objective of this project was to assess redd count data for Central Area and attempt to quantify these data in order to produce a grading system that would highlight key salmonid spawning areas. By showing which were the main areas for salmon and sea trout spawning, better informed decisions could be made on whether or not in-stream Flood Defence works should be given the go-ahead. The main salmonid catchments in Central Area were broken into individual reaches, approximately 1 km in length. The number of redds in these individual reaches were then calculated and a density per lkm value was obtained for each reach. A grading system was devised which involved looking at the range of density per km values and dividing this by five to produce 5 classes, A - E. A sixth class (F) was used where the density per Ion value was 0.00. This grading system was calculated at two levels of detail. Grades for salmon and sea trout were produced for each individual catchment and also on an Area-wide level. Maps were produced using a range of colours to represent the grade for each reach. These maps provide a highly useful overview of the status of salmonid spawning for each catchment over individual years and highlight the key salmon and sea trout spawning areas in each catchment. These maps and the associated summary data should now provide Flood Defence and Fisheries staff with a fairly detailed overview of the status of spawning in any location within the. main salmonid catchments in Central Area. Although these maps are very useful they should only be used as a guide. The current practice of consulting with the local Fishery Officer should be continued to ensure that expert local knowledge is taken into account

Improved AURA k-Nearest Neighbour approach

The k-Nearest Neighbour (kNN) approach is a widely-used technique for pattern classification. Ranked distance measurements to a known sample set determine the classification of unknown samples. Though effective, kNN, like most classification methods does not scale well with increased sample size. This is due to their being a relationship between the unknown query and every other sample in the data space. In order to make this operation scalable, we apply AURA to the kNN problem. AURA is a highly-scalable associative-memory based binary neural-network intended for high-speed approximate search and match operations on large unstructured datasets. Previous work has seen AURA methods applied to this problem as a scalable, but approximate kNN classifier. This paper continues this work by using AURA in conjunction with kernel-based input vectors, in order to create a fast scalable kNN classifier, whilst improving recall accuracy to levels similar to standard kNN implementations

Doelgericht studeren

Puls, J., Verstappen, I., & Wagemans, L. J. J. M. (2012). Doelgericht studeren. Heerlen, Nederland: Open Universiteit, Instellingsbreed Platform Onderwijs (IPO).Korte brochure over doelgericht studeren met praktische studietips

Boekbespreking

E. Stanley Jones , Overvloedig Leven; H. J . Paris, Amsterda