Equipping the Congregation of East Belmont Baptist Church in Belmont, North Carolina for Outreach through the Development and Implementation of an Active Prayer Ministry

In a local congregation, joining the spiritual practice of prayer with the ministry of outreach provides the church with an effective ministry tool to connect the congregation to its community and beyond. The East Belmont Baptist Church searches for effective ways to carry out the mission of making Christ known to others by equipping themselves through study and sermons to use prayer as a ministry in the community. Through the presence and power of the Holy Spirit, congregational members meet people where they are and minister to them through intercessory prayer

Piezoelectric devices for vibration suppression: Modeling and application to a truss structure

For a space structure assembled from truss members, an effective way to control the structure may be to replace the regular truss elements by active members. The active members play the role of load carrying elements as well as actuators. A piezo strut, made of a stack of piezoceramics, may be an ideal active member to be integrated into a truss space structure. An electrically driven piezo strut generates a pair of forces, and is considered as a two-point actuator in contrast to a one-point actuator such as a thruster or a shaker. To achieve good structural vibration control, sensing signals compatible to the control actuators are desirable. A strain gage or a piezo film with proper signal conditioning to measure member strain or strain rate, respectively, are ideal control sensors for use with a piezo actuator. The Phase 0 CSI Evolutionary Model (CEM) at NASA Langley Research Center used cold air thrusters as actuators to control both rigid body motions and flexible body vibrations. For the Phase 1 and 2 CEM, it is proposed to use piezo struts to control the flexible modes and thrusters to control the rigid body modes. A tenbay truss structure with active piezo struts is built to study the modeling, controller designs, and experimental issues. In this paper, the tenbay structure with piezo active members is modelled using an energy method approach. Decentralized and centralized control schemes are designed and implemented, and preliminary analytical and experimental results are presented

Building high-level features using large scale unsupervised learning

We consider the problem of building high-level, class-specific feature detectors from only unlabeled data. For example, is it possible to learn a face detector using only unlabeled images? To answer this, we train a 9-layered locally connected sparse autoencoder with pooling and local contrast normalization on a large dataset of images (the model has 1 billion connections, the dataset has 10 million 200x200 pixel images downloaded from the Internet). We train this network using model parallelism and asynchronous SGD on a cluster with 1,000 machines (16,000 cores) for three days. Contrary to what appears to be a widely-held intuition, our experimental results reveal that it is possible to train a face detector without having to label images as containing a face or not. Control experiments show that this feature detector is robust not only to translation but also to scaling and out-of-plane rotation. We also find that the same network is sensitive to other high-level concepts such as cat faces and human bodies. Starting with these learned features, we trained our network to obtain 15.8% accuracy in recognizing 20,000 object categories from ImageNet, a leap of 70% relative improvement over the previous state-of-the-art

Missouri EATs: Cultivating community food systems through community engagement

The University of Missouri Extension Missouri EATs program connects local stakeholders to build and strengthen their community’s food system. Missouri EATs (which stands for Engage, Act, and Transform) is a community development program designed to engage people to identify local assets and needs; help them develop a plan to act on their top priorities; and make lasting changes to transform their local food system. The broad goal of Missouri EATs is to create healthy, resilient, and equitable community-based food systems. The starting point is a community-wide in-person or on-line forum for participants to engage in an informed and facilitated discussion about the food system. This event is the first step of a larger community organizing process that engages communities to make positive changes over time. The format allows for broad discussions related to local agriculture, hunger, health, and related topics. It relies heavily on local input from community members in general and those representing of local business and agencies. The forum results in a Food System Action Plan, which is a tool used to keep communities engaged after the event and guide their ongoing effort. Communities may choose to hold a combination of small working group meetings, community meals, or quarterly meetings to keep things moving in a positive direction. Annual meetings are encouraged to provide updates and reengage community members. The forum and subsequent activities may all be adapted for an on-line environment

Finding related pages in the World Wide Web

When using traditional search engines, users have to formulate queries to describe their information need. This paper discusses a different approach to Web searching where the input to the search process is not a set of query terms, but instead is the URL of a page, and the output is a set of related Web pages. A related Web page is one that addresses the same topic as the original page. For example, www.washingtonpost.com is a page related to www.nytimes.com, since both are online newspapers. We describe two algorithms to identify related Web pages. These algorithms use only the connectivity information in the Web (i.e., the links between pages) and not the content of pages or usage information. We have implemented both algorithms and measured their runtime performance. To evaluate the effectiveness of our algorithms, we performed a user study comparing our algorithms with Netscape's `What's Related' service (http://home. netscape, com/escapes/related/). Our study showed that the precision at 10 for our two algorithms are 73% better and 51% better than that of Netscape, despite the fact that Netscape uses both content and usage pattern information in addition to connectivity information

Wavefront Sensing and Control Architecture for the Spherical Primary Optical Telescope (SPOT)

Testbed results are presented demonstrating high-speed image-based wavefront sensing and control for a spherical primary optical telescope (SPOT). The testbed incorporates a phase retrieval camera coupled to a 3-Mirror Vertex testbed (3MV) at the NASA Goddard Space Flight Center. Actuator calibration based on the Hough transform is discussed as well as several supercomputing archtectures for image-based wavefront sensing. Timing results are also presented based on various algorithm implementations using a cluster of 64 TigerShare TSlOl DSP's (digital-signal processors)