5153 research outputs found
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Computer Aided Design and Structural Analysis of a Rim
No full textAutomobile wheel is an important component in vehicles to support the vehicle weight and maintain the contact between the vehicle body and road. Automotive wheels have evolved over the decades using materials from steels to aluminum and magnesium alloys. Aluminum wheels have gain popularity over steel wheels because they have less weight, better cosmetic appearance, and higher thermal conductivity for faster dissipation of heat from brakes. A rim is subject to mainly radial load and inflation pressure. The radial load is exerted on the rim as a vertical reaction force by road surface on four tires to balance the weight of a car. The radial load is applied to the rim at the bead seats with the tire, following a cosine function distribution around the contact area. The tire air pressure is applied directly on the rim at its outer side and indirectly at the rim flange. This project studied the influence of the radial load and the tire inflation pressure on the stress and displacement distribution in the wheel rim. A computer aided design model of an aluminum alloy wheel rim is analyzed using ANSYS. The geometrical parameters of the rim is further optimized to reduce weight
A Fully-differential Electrostatic Micropump with Anti-pull-down Feature
No full textIn this poster, a fully-differential electrostatic micropump with anti-pull-down feature is proposed. The micropump has glass-silicon-silicon-glass compound palindromic symmetry structure. Its double membranes can be activated to vibrate simultaneously. Compared to the traditional single-membrane design, the chamber volume and the pumping rate can be doubled. Besides, to overcome pull-down limitation, the proposed micropump has a special design to extend displacement of the membrane without triggering the pull-down effect. The proposed micropump can be used for lab-on-a-chip and micro drug delivery applications
Glucocorticoid Receptor (NR3C1) Variants Associate with the Muscle Strength and Size Response to Resistance Training
No full textGlucocorticoid receptor (NR3C1) polymorphisms associate with obesity, muscle strength, and cortisol sensitivity. We examined associations among four NR3C1 polymorphisms and the muscle response to resistance training (RT). European-American adults (n = 602, 23.8±0.4yr) completed a 12 week unilateral arm RT program. Maximum voluntary contraction (MVC) assessed isometric strength (kg) and MRI assessed biceps size (cm2) pre- and post-resistance training. Subjects were genotyped for NR3C1 -2722G>A, -1887G>A, -1017T>C, and +363A>G. Men carrying the -2722G allele gained less relative MVC (17.3±1.2vs33.5±6.1%) (p = 0.010) than AA homozygotes; men with -1887GG gained greater relative MVC than A allele carriers (19.6±1.4vs13.2±2.3%) (p = 0.016). Women carrying the -1017T allele gained greater relative size (18.7±0.5vs16.1±0.9%) (p = 0.016) than CC homozygotes. We found sex-specific NR3C1 associations with the muscle strength and size response to RT. Future studies should investigate whether these associations are partially explained by cortisol’s actions in muscle tissue as they interact with sex differences in cortisol production.https://doi.org/10.1371/journal.pone.014811
Teachers' Perspectives and Development of Academic Rigor: An Action Research Study
No full textA multiphase action research study of academic or instructional rigor was conducted
using semi-structured and focused group interviews, classroom observations, participant logs, a weekly rigor planning Matrix, and a unit planning process to ensure rigor (UPPER). Phase I was conducted to determine 15 public middle school teachers’ perspectives about the term academic rigor and how it related to their planning and praxis. Phase II included a teacher-oriented intervention that aimed to develop teachers’ capacity to design and implement classroom tasks that demanded higher-level student thinking. Fourteen teachers utilized the Hess Cognitive Rigor Matrix (Hess, 2013) within a three-step planning process that provided a framework for identifying the task to be assigned to the students, determining the level of cognitive rigor of the task using the Hess (2013) Matrix, and selecting the methods for implementing the task throughout the lesson in order to increase the level of thinking associated with the task. Five teachers participated in Phase III that focused on situating the development of rigor within a concept-based unit planning process that emphasized learning for understanding and unpacking relevant content standards. The teachers reported that both interventions positively impacted their understanding of rigor, and their capacity to design and implement rigorous tasks and two rigorous concept-based unit plans, which was verified by the classroom observation and unit plans scores. The findings suggest the value of utilizing teacher perspectives, along with the intervention tools and the structured framework, as well as the planning processes employed when seeking to increase academic rigor
Impact Of Zoo Residence On Gelada Social Life
No full textThe purpose of this study was to develop an ethogram of gelada behavior in two settings: In captivity and In the wild. Then to compare the two ethograms to determine the impact of captivity on individual gelada and their behavior
Innovative Techniques for the Implementation of Adaptive Mobile Learning Using the Semantic Web
No full textAdaptive Mobile Learning has constantly faced many challenges in order to make course learning more adaptive. This research presents a conceptual framework for using the Semantic Web to obtain students’ data from other educational institutions, enabling the educational institutions to communicate and exchange students’ data. We then can use this information to adjust the students’ profiles and modify their learning paths. Semantic Web will create a more personalized dynamic course for each student according to his/her ability, educational level, and experience. Through the Semantic Web, our goal is to create an adaptive learning system that takes into consideration previously completed courses, to count the completed topics, and then adjust the leaning path graph accordingly to get a new shortest path. We have applied the developed model on our system. Then, we tested the students on our system and a control system to measure the improvements in the students’ learning. We also have analyzed the results collected from the AML Group and the Control Group. The AML system provided a 44.80% improvement over the Control System. The experimental results demonstrate that Semantic Web can be used with adaptive mobile learning system (AML) in order to enhance the students’ learning experience and improve their academic performance
Improving Hadoop Performance by Using Metadata of Related Jobs in Text Datasets Via Enhancing MapReduce Workflow
No full textCloud Computing provides different services to the users with regard to processing data. One of the main concepts in Cloud Computing is BigData and BigData analysis. BigData is a complex, un-structured or very large size of data. Hadoop is a tool or an environment that is used to process BigData in parallel processing mode. The idea behind Hadoop is, rather than send data to the servers to process. Hadoop divides a job into small tasks and sends them to servers. These servers contain data, process the tasks and send the results back to the master node in Hadoop. Hadoop contains some limitations that could be developed to have a higher performance in executing jobs. These limitations are mostly because of data locality in the cluster, jobs and tasks scheduling, CPU execution time, or resource allocations in Hadoop. Data locality and efficient resource allocation remains a challenge in cloud computing MapReduce platform. We propose an enhanced Hadoop architecture that reduces the computation cost associated with BigData analysis. At the same time, the proposed architecture addresses the issue of resource allocation in native Hadoop. The proposed architecture provides an efficient distributed clustering approach for dedicated cloud computing environments. Enhanced Hadoop architecture leverages on NameNode’s ability to assign jobs to the TaskTrakers (DataNodes) within the cluster. By adding controlling features to the NameNode, it can intelligently direct and assign tasks to the DataNodes that contain the required data. Our focus is on extracting features and building a metadata table that carries information about the existence and the location of the data blocks in the cluster. This enables NameNode to direct the jobs to specific DataNodes without going through the whole data sets in the cluster. It should be noted that newly build lookup table is an addition to the metadata table that already exists in the native Hadoop. Our development is about processing real text in text data sets that might be readable such as books, or not readable such as DNA data sets. To test the performance of proposed architecture, we perform DNA sequence matching and alignment of various short genome sequences. Comparing with native Hadoop, proposed Hadoop reduced CPU time, number of read operations, input data size, and another different factors
Proper Accounting is Vital for Sustainable Business Growth
No full textThis study explains the role of accounting in business growth. In addition, this study clarifies how accounting offers support for business process. This paper demonstrates the types of services that perform by accounting. The research indicates how accounting information can be used in order to meet the needs of a business, make right decisions, and improve the company’s profitability. This article also examines why business organization often needs a way to keep score when conducting business operations. How accounting usually fits this need because it allows to company to create financial reports that enable business owners and managers to review the efficiency of operations. The conclusion of this study shows the importance of using accounting as a sophisticated financial management system for business organization's performance, growth, and expansion
Optimized Node Selection Process for quality of service provisioning over wireless multimedia sensor networks
No full textSeveral quality of service (QoS) routing strategies focus on the improvement of throughput and end-to-end delays in wireless sensor networks (WSNs). With emergence of wireless multimedia sensor networks (WMSNs), data traffic can be poised into reliability-demanding data packets and time-sensitive data packets. In such situations, node optimization and load balancing can improve QoS provisioning. Thus, the trade-off between network lifetime and ensuring the QoS provisioning has been of paramount importance. This paper introduces the Optimized Node Selection Process (ONSP) approach for robust multipath QoS routing for WMSNs. This approach is based on determining the optimized node that helps resilient route discovery for improving the QoS parameters. The selection of optimized nodes make the solid chain for route selection using residual energy and received signal strength indicator (RSSI). The second goal of this approach is to prolong the network lifetime by introducing the load-balancing algorithm, which determines the optimized and braided paths. These paths avoid bottlenecks and improves throughput, end-to-end delay, on-time packet delivery and prolongs the network lifetime
Educational Environments at Housatonic Community College
No full textMartin Ralda-Martinez's, Corey Stokes', Lindsey Toper's, and Jennifer Turner's poster discussing the physical, constructed, organizational, and aggregate evironments at Housatonic Community College