According to a study conducted by J. D. Angrist (MIT) and colleagues1 involving 1,600 students at a large Canadian university (the equivalent of an American state university with heavily subsidized tuition), the combi...
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According to a study conducted by J. D. Angrist (MIT) and colleagues1 involving 1,600 students at a large Canadian university (the equivalent of an American state university with heavily subsidized tuition), the combination of participation in (a) a scholarship program and (b) academic support services resulted in higher grade achievement and retention for females (but both males and females used support services and peer advising at higher rates), compared to groups of students who participated in either (a) or (b) but not both. A report by the Educational Policy Institute2 lists financial aid as one critical factor that affects the decision to pursue a college degree and success in degree attainment for minorities. This paper reports the progress of a persistence-to-graduation scholarship program funded under the National science Foundation Scholarships (NSF) in science, Technology, engineering, and Mathematics (S-STEM) program. We named our program YES (Young Entrepreneur and Scholar) scholarship program. The goal of YES is to enable academically talented, financially needy students to enter the workforce (Entrepreneurship Path) or to pursue a graduate degree (Research Path) following the completion of a baccalaureate degree in a targeted STEM discipline. This goal is facilitated through scholarships offered by the program to qualified student participants in the last two college years (maturing years - juniors and seniors), a mentorship program (faculty and industry mentors), and enhanced educational opportunities (Distinguished Speaker seminar series, Symposium, learning community). The program continues the efforts of and recruits from another NSF-funded program, science, Technology, engineering, and Mathematics Talent Expansion (STEP) program, which focuses on the first two student college years (early years- freshman and sophomore) and has been successful in retaining STEM students at significantly higher rates than academically similar STEM students at the
Bubbles are powerful and complex sound scatterers in water because of the impedance mismatch at each water-air/gas interface. Bubbles are formed by natural processes that include rainfall, gas emission from the sea be...
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A narrow-band ultrasonic shear-wave imaging technique for estimating the complex shear modulus was applied to gelatin phantoms. This Bayesian approach incorporates the spatiotemporal geometry of shear waves radiating ...
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Wafer bonding technology is applied to the GaN/quantum dots/GaN system, where CdSe/ZnS Quantum Dots serve as both the active layer and the binding layer. Photoluminescence is observed from quantum dots following wafer...
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Crystal growth of Rb2CdI4 was performed by Czochralski method. Transparent colourless crystals with monoclinic structure were obtained. Temperature dependence of the dielectric constant along the b-axis was measured w...
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Rapidly running arthropods like cockroaches make use of passive dynamics to achieve remarkable locomotion performance with regard to stability, speed, and maneuverability. In this work, we take inspiration from these ...
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Rapidly running arthropods like cockroaches make use of passive dynamics to achieve remarkable locomotion performance with regard to stability, speed, and maneuverability. In this work, we take inspiration from these organisms to design, fabricate, and control a 10cm, 24 gram underactuated hexapedal robot capable of running at 14 body lengths per second and performing dynamic turning maneuvers. Our design relies on parallel kinematic mechanisms fabricated using the scaled smart composite microstructures (SCM) process and viscoelastic polymer legs with tunable stiffness. In addition to the novel robot design, we present experimental validation of the lateral leg spring (LLS) locomotion model's prediction that dynamic turning can be achieved by modulating leg stiffness. Finally, we present and validate a leg design for active stiffness control using shape memory alloy and demonstrate the ability of the robot to execute near-gymnastic 90° turns in the span of five strides.
Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinson's disease (PD). It isclinically defined as an increased resistance to passivemovement of a joint. There is a fundamental gap betweenme...
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Rigidity (muscle stiffness) is one of the most disabling symptoms in Parkinson's disease (PD). It isclinically defined as an increased resistance to passivemovement of a joint. There is a fundamental gap betweenmechanistic and applied approaches to understanding thissymptom. The objective of the current study was to apply asystem identification and modeling approach todifferentiating the contributions of neural (enhanced musclereflex) and non-neural (altered mechanical properties ofmuscle fibers) factors to rigidity. Six patients participated inthe study. The wrist joint torque and muscle activities of thewrist muscles were measured during externally inducedmovements. Each subject was tested in the Off-and On-medication states. System identification and modelingapproach was applied to separate the neural from the non-neuralcomponent with respect to the overall stiffness. Resultsshow that both factors are responsible for rigidity in ***-related reflex component is the predominant factor inoverall rigidity. Medication therapy decreased the level ofreflex component to overall rigidity.
This paper summarizes dynamic measurements of shear modulus constants acquired for spontaneously growing rat mammary tumors. Measurements are compared with histology to determine tumor types. We also report on 3D shea...
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This paper summarizes dynamic measurements of shear modulus constants acquired for spontaneously growing rat mammary tumors. Measurements are compared with histology to determine tumor types. We also report on 3D shear-wave velocity fields acquired from an inhomogeneous hydrogel phantom with known mechanical properties. Phantom measurements enable us to interpret the effects of tissue structure and geometry on viscoelastic parameter estimates, and demonstrate that reproducible measurements are possible in vivo. Viscoelastic properties describe the mechano-environment of cells undergoing malignant transformation and tumor growth.
In this paper, a large scale Medium Voltage DC all-electric ship integrated power system is modeled from the prime mover (gas turbine) to the propulsion load. This system has a three-phase 21MW synchronous machine as ...
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ISBN:
(纸本)9781617387043
In this paper, a large scale Medium Voltage DC all-electric ship integrated power system is modeled from the prime mover (gas turbine) to the propulsion load. This system has a three-phase 21MW synchronous machine as a main generator and a three-phase 19MW induction motor as a main propulsion drive. The influence of propeller emergence on both electrical and mechanical components of the system is investigated.
Maps of protein-protein interactions (PPIs) are essential to uncover cellular processes and metabolic processes in a cell. However, various high-throughput biological experiments are time-consuming and labor-intensive...
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Maps of protein-protein interactions (PPIs) are essential to uncover cellular processes and metabolic processes in a cell. However, various high-throughput biological experiments are time-consuming and labor-intensive, resulting in interactions of high false positive and false negative rates. The fact that most interaction networks remain sparse and incomplete motivates scientists to develop computational methods to predict protein-protein interactions accurately and automatically. However, state-of-the-art prediction algorithms cannot make satisfactory predictions. In this paper, we propose a simple yet effective approach SimpleTrPPI, to improve the accuracy of predicting protein-protein interactions in the target PPI network with the aid of another source PPI network. We attempt to transfer and borrow useful knowledge from the source PPI network using similarities of protein nodes between two protein interaction networks. Similarities are computed taking both protein sequence similarities and topological structures of protein networks into account. Two protein-protein interaction networks, Helicobacter pylori (target network) and Human (source network), are used to verify the feasibility of our proposed method. Our experimental results show that SimpleTrPPI can achieve more than 5% accuracy improvement compared to the baseline methods.
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