1,052 research outputs found

    A proposed total quality management model for instructional supervision in vocational-technical programs

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    This research was conducted to generate and verify the Quality Instruction Model for vocational technical (V-T) programs. A literature review focusing on Total Quality Management (TQM), instructional supervision, Delphi techniques and attitude surveys was used to generate an initial model. A Delphi study utilizing TQM and instructional supervision experts was conducted and the model was modified. Once the model was modified by the Delphi panel, an attitude survey was conducted to determine the V-T professionals\u27 attitude regarding the applicability of model;Twenty-seven experts participated in the first Delphi round and twenty experts completed the second Delphi round. Two hypotheses were tested to determine the degree of consensus and the change of attitude scores on the same questions in round one and round two. Comparing the variances failed to yield differences between these two rounds. However, the attitude scores in the second round were higher (more positive) than those in the first round. The initial model was modified based on the results of these two rounds;In the final survey, 102 V-T professionals completed the attitude instrument that was generated by the researcher. Six hypotheses were tested to examine the differences in attitude scores based on the independent variables: school, program, job title, TQM training in hours, and work experience in years. There were differences in attitude scores between (among) the groups for each of the following independent variables: job title, program, and TQM training in hours. In addition, there was a significant interaction between school and TQM training in hours;A Quality Instruction Model was proposed after the final survey was completed and the data were analyzed. This model received positive reactions from the V-T professionals and was recommended for application in Iowa community colleges. Continuous improvement of the model was addressed by the procedure. Another recommendation addressed the need to modify the Delphi process for this application

    Development of an In Vitro Test System for Breast Cancer Research

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    In the United States, breast cancer is the third most common cause of cancer death (after lung cancer and colon cancer). In 2007, breast cancer is expected to cause 40,910 deaths (7% of cancer deaths; almost 2% of all deaths) in the U.S. The long term goal of this project is to develop an in vitro test system that can be used to develop breast cancer vaccine or screen breast cancer chemotherapy. This dissertation was driven by four objectives and it can be thought as a toolbox that provides practical experimental design and lab work for the development of an in vitro test system. The objectives stimulated the preliminary studies, from scaffold fabrication to the study of cancer-stromal cell interactions. Achieving Objective 1, methods of fabricating electrospun mesh and polymeric bead were introduced and the cell-material interactions were investigated. Preliminary cell studies were conducted to distinguish electrospun meshes that were made of different polymers. PLLA-based electrospun mesh showed excellent cell affinity compared with cellulose acetate mesh, the latter which is suitable for use as a tissue-repelling material. It was further found that collagen beads and PHA-PLLA beads had rougher morphologies than PLLA and PHA beads. With rougher surface textures, collagen and PHA-PLLA beads stimulated higher cellular metabolic activity than PLLA and PHA beads. In order to achieve Objective 2, a localized cell culture method was introduced and an adapted cryosectioning method was applied in order to enhance histological processes for hydrogel research. Through this localized culture method, a microenvironment that enabled the creation of intensive cell interactions was established. Mammary bovine gland epithelial cells (MAC-T) and human breast cancer cells (MCF-7) formed tubular structure and tumor-like cell masses respectively using this localized culture method. For the adapted cryosectioning method, a mixture of sucrose and O.C.TÂź was diffused into hydrogels and to replace the culture medium. Thus, the mechanical properties of frozen hydrogel were adjusted to fit the frozen embedding medium. In pursuit of Objective 3, a novel co-culture method was reported. This novel co-culture method can inhibit the adipogenesis of multipotent stromal cells (D1s) by simply maintaining the D1 cells in MAC-T conditioned medium; the inhibitory effect is reversible. This novel co-culture method allows us to regulate the adipogenesis of D1 cells in vitro so that the adipogenesis potential can be maintained and triggered at the optimal timing. Therefore, the inherent limitations of existing adipose tissue engineering and conventional adipose research could be eliminated. In pursuit of Objective 4, cancer-stromal cell interactions were investigated by establishing a co-culture model. The novel co-culture method, developed in pursuit of Objective 3, was applied in pursuit of Objective 5 in order to regulate the differentiation of multipotent stromal cells and influence the behavior of breast cancer cells

    ADHERENS JUNCTIONS AND THE ACTOMYOSIN NETWORK REGULATE ORGAN GROWTH BY MODULATING HIPPO PATHWAY ACTIVITY IN DROSOPHILA

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    Adherens junctions (AJs) and basolateral modules are important for the establishment and maintenance of apico-basal polarity. Loss of AJs and basolateral module members lead to tumor formation, as well as poor prognosis for metastasis. Recently, in mammalian studies it has been shown that loss of either AJ or basolateral module members deregulate Yorkie activity, the downstream transcriptional effector of the Hippo pathway. Importantly, it is unclear if AJ and basolateral components act through the same or parallel mechanisms to regulate Yorkie activity. Here, we dissect how loss of AJ and basolateral components affects Hippo signaling in Drosophila. Surprisingly, while scrib knock-down tissue displays increased reporter activity autonomously, α-cat knock-down tissue shows a cell autonomous decrease and a cell non-autonomous increase of Hippo reporter activity. We provided several lines of evidence to show the differential regulation in polarity protein localizations and oncogenic cooperative overgrowth by AJs and basolateral complexes. Finally, we show that Hippo pathway activity is induced in α-cat and scrib double knocked-down tissue. Taken together, our results provide evidence to show that basolateral modules and AJs act in parallel to modulate Hippo pathway activity. Non-muscle myosin II is an actomyosin component that interacts with the actin. Non-muscle myosin II also interacts with lgl, though the function of this interaction is not clear. Our lab demonstrated that modulating F-actin regulates Hippo pathway activity, and lgl also has been described as a Hippo pathway regulator. Therefore we suspect that myosin II is also involved in Hippo pathway regulation. We first characterized non-muscle Myosin II as a novel tumor suppressor gene by affecting Hippo pathway activity. Upstream regulators of Myosin II, members in the Rho signaling pathway, also displayed similar phenotypes as the Myosin II knock-down tissues. Apoptosis is also induced in myosin II knock-down tissues, however, blocking cell death does not affect myosin II knock-down induced Hippo activation. Our data suggested hyperactivating myosin II induced F-actin accumulation so therefore induces Hippo target activation. Unexpectedly, we also observed that reducing F-actin activity induced Hippo target activation in vivo. These controversial data indicated that actomyosin may regulate the Hippo pathway through multiple mechanisms

    Three-dimensional ex vivo system

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    Disclosed are three-dimensional (3D) systems as may be utilized for ex vivo tissue or cell growth and development. A system generally includes a base material and at least one wicking fiber embedded therein through which a liquid can be spontaneously drawn by capillary action. Wicking fibers can define a plurality of colinear channels along the exterior surface of the axial length of the fiber. Wicking fibers can be present in disclosed systems as individual fibers or in bundles. Disclosed systems can be useful in various scientific studies, including, but not limited to, drug discovery, vaccine development, cell biology studies, and biomaterial development

    Using Hybrid Angle/Distance Information for Distributed Topology Control in Vehicular Sensor Networks

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    In a vehicular sensor network (VSN), the key design issue is how to organize vehicles effectively, such that the local network topology can be stabilized quickly. In this work, each vehicle with on-board sensors can be considered as a local controller associated with a group of communication members. In order to balance the load among the nodes and govern the local topology change, a group formation scheme using localized criteria is implemented. The proposed distributed topology control method focuses on reducing the rate of group member change and avoiding the unnecessary information exchange. Two major phases are sequentially applied to choose the group members of each vehicle using hybrid angle/distance information. The operation of Phase I is based on the concept of the cone-based method, which can select the desired vehicles quickly. Afterwards, the proposed time-slot method is further applied to stabilize the network topology. Given the network structure in Phase I, a routing scheme is presented in Phase II. The network behaviors are explored through simulation and analysis in a variety of scenarios. The results show that the proposed mechanism is a scalable and effective control framework for VSNs

    Research on the Motivation and Attitude of College students' Physical Education in Taiwan

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    College students' physical education plays an important role in physical activity and cultivates the concept of independent health management. At present, what kind of learning attitude do Taiwan college students face in physical education? What motivation does the student influence the attitude of the physical education? What is the relevance? All of the above are the purpose of this study. The research method adopts the questionnaire survey method, and the survey data adopts descriptive statistical analysis, independent sample t test, single factor variance analysis, LSD post hoc comparison method, and typical correlation analysis. Research results: 1. The different background variables of Taiwanese college students are that the main motivation factor of physical education is to obtain good health fitness for "physical health". 2. Taiwanese college students have different background variables. They all think that the "cognitive learning" of physical education is the main factor of attitude, that is, the knowledge about health care and sports skills. 3. There is a positive correlation between learning motivation and learning attitude (ρ=.90). Learning motivation is one of the important factors affecting learning attitude. Research conclusions: 1. The factors of Taiwanese male and female college students' motivation for learning in physical education are mainly based on "physical health". 2. Freshmen have higher motivations and learning attitudes in physical education than second-grade to fourth-grade. 3. Taiwan female college students average 1 or 2 times per week, male college students have the most athletes 2 to 3 times per week, more than 90% of college students like sports. 4. There is a positive correlation between learning motivation and learning attitude, indicating that the stronger the attribute of learning motivation "physical health", the higher the student's learning attitude. 5. Satisfying students' motivation for learning helps students to learn positively. 6. Another important task of the college physical education class is to prepare students for future lifelong sports

    Neel tensor torque at the ferromagnet/antiferromagnet interface

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    Antiferromagnets (AFMs) exhibit spin arrangements with no net magnetization, positioning them as promising candidates for spintronics applications. While electrical manipulation of the single-crystal AFMs, composed of periodic spin configurations, is achieved recently, it remains a daunting challenge to characterize and to manipulate polycrystalline AFMs. Utilizing statistical analysis in data science, we demonstrate that polycrystalline AFMs can be described using a real, symmetric, positive semi-definite, rank-two tensor, which we term the Neel tensor. This tensor introduces a unique spin torque, diverging from the conventional field-like and Slonczewski torques in spintronics devices. Remarkably, Neel tensors can be trained to retain a specific orientation, functioning as a form of working memory. This attribute enables zero-field spin-orbit-torque switching in trilayer devices featuring a heavy-metal/ferromagnet/AFM structure and is also consistent with the X-ray magnetic linear dichroism measurements. Our findings uncover hidden statistical patterns in polycrystalline AFMs and establishes the presence of Neel tensor torque, highlighting its potential to drive future spintronics innovations.Comment: main text 18 pages, supplementary information 10 page

    A Developmental Learning Approach of Mobile Manipulator via Playing

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    Inspired by infant development theories, a robotic developmental model combined with game elements is proposed in this paper. This model does not require the definition of specific developmental goals for the robot, but the developmental goals are implied in the goals of a series of game tasks. The games are characterized into a sequence of game modes based on the complexity of the game tasks from simple to complex, and the task complexity is determined by the applications of developmental constraints. Given a current mode, the robot switches to play in a more complicated game mode when it cannot find any new salient stimuli in the current mode. By doing so, the robot gradually achieves it developmental goals by playing different modes of games. In the experiment, the game was instantiated into a mobile robot with the playing task of picking up toys, and the game is designed with a simple game mode and a complex game mode. A developmental algorithm, “Lift-Constraint, Act and Saturate,” is employed to drive the mobile robot move from the simple mode to the complex one. The experimental results show that the mobile manipulator is able to successfully learn the mobile grasping ability after playing simple and complex games, which is promising in developing robotic abilities to solve complex tasks using games

    An Improved Fuzzy Brain Emotional Learning Model Network Controller for Humanoid Robots

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    The brain emotional learning (BEL) system was inspired by the biological amygdala-orbitofrontal model to mimic the high speed of the emotional learning mechanism in the mammalian brain, which has been successfully applied in many real-world applications. Despite of its success, such system often suffers from slow convergence for online humanoid robotic control. This paper presents an improved fuzzy BEL model (iFBEL) neural network by integrating a fuzzy neural network (FNN) to a conventional BEL, in an effort to better support humanoid robots. In particular, the system inputs are passed into a sensory and emotional channels that jointly produce the final outputs of the network. The non-linear approximation ability of the iFBEL is achieved by taking the BEL network as the emotional channel. The proposed iFBEL works with a robust controller in generating the hand and gait motion of a humanoid robot. The updating rules of the iFBEL-based controller are composed of two parts, including a sensory channel followed by the updating rules of the conventional BEL model, and the updating rules of the FNN and the robust controller which are derived from the "Lyapunov" function. The experiments on a three-joint robot manipulator and a six-joint biped robot demonstrated the superiority of the proposed system in reference to a conventional proportional-integral-derivative controller and a fuzzy cerebellar model articulation controller, based on the more accurate and faster control performance of the proposed iFBEL
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