acase@tulane.edu / Osteoporosis is a prevalent bone metabolic disease characterized by bone fragility. As a key pathophysiological mechanism, the disease is caused by excessive bone resorption (by osteoclasts) over bone formation (by osteoblasts). Peripheral blood monocytes (PBMs) represent a major systemic cell type for bone metabolism by serving as progenitors of osteoclasts and producing cytokines important for osteoclastogenesis. Our lab previously used microarray-based transcriptomics profiling to identify a list of novel genes for osteoporosis. My work is to further investigate the factors and regulatory network in osteoporosis, using microarray data of monocytes from subjects with extremely high/low hip bone mineral density. 1) We performed a pathway analysis and developed a novel approach to correct the “crosstalk” phenomenon which is caused by overlapping genes. 2) We analyzed the long non-coding RNA (lncRNA) profile by re-annotating exon array and predicted the regulatory mechanism of lncRNAs on protein coding genes in bone metabolism. 3) We identified the important potential transcription factors for osteoporosis and inferred the regulatory mechanism which exists between transcription factors and target genes in bone metabolism. My findings not only reported the key regulatory factors (lncRNAs and transcriptional factors) contributes to bone metabolism, but also explored the potential regulatory networks in osteoporosis. / 1 / Yu Zhou

The research is focus on manufacturing one dimension lens plastic optical fiber array, carrying out by electrostatic force was applied to shape polymer liquid from hemisphere into paraboloid or near cone shape. In manufacturing process, the lens will be slanted by electrostatic force, so we shorten the electrode to solve the problem, and shorten the distance between fiber and fiber to manufacture the most small volume of the fiber array. To combine the two methods, we can manufacture the high coupling efficiency of the one dimension lens plastic optical fiber array. Finally, the above improved strategies are verified by the simulation and experimental results.

Giessen, Universiẗat, Diss., 1999.

Duisburg, Universiẗat, Habil.-Schr., 2000.

Conventional two-dimensional phased arrays face two major shortcomings: the presence of ambiguities in direction of arrival measurements and beam broadening endfire effects. The literature provides methods for addressing and minimizing these problems on conventional planar phased array structures, but there has been no investigation into solving these issues with three-dimensional geometries. In this thesis, the design and performance of a cubic phased array that can eliminate endfire effects and dramatically improve direction of arrival ambiguity resolution is investigated. Both beamforming and direction of arrival simulations are performed in MATLAB and 4nec2 simulation environments for cubic phased arrays of various sizes and at different frequencies and demonstrate that the endfire effects are eliminated and direction of arrival ambiguity resolution is dramatically improved. These findings are expected to lead to new designs of high fidelity three-dimensional phased arrays. / Master of Science / Conventional two-dimensional, flat, plane antenna arrays have revolutionized how sensing and detection systems perform. These systems, however, face two major shortcomings due to their "flat" geometry. The computation that determines the direction from which an object is approaching or a signal has been transmitted will have two solutions that are opposite each other in the same way that the polynomial expression x2 = +2 or -2 has two solutions that are opposite each other. This is known as the ambiguity problem and presents major uncertainty in direction finding or direction of arrival measurements. The second major shortcoming has to do with transmitting a signal at different directions. The antenna elements in the array are stationary, but the beams that each element transmits can be aimed in specific directions by controlling the phase of the voltage sources for each respective antenna. This is why it is called a phased array. When every element is transmitting directly forward, it is known as broadside. As the voltage sources for the elements are shifted, or steered, away from this direction, it is known as beam steering. When the beam is steered 90 degrees from the broadside direction, the beams of one column of elements are actually transmitting into the next column of elements, effectively transmitting out of a one-dimensional line array. This is known as endfire and has significant negative effects that are often desired to be avoided. Current scientific literature provides methods for addressing and minimizing these problems on conventional two-dimensional planar phased array structures, but there has been no investigation into solving these issues with three-dimensional geometries. In this thesis, the design and performance of a cubic phased array is presented. The cubic phased array eliminates endfire effects entirely because each face of the cube is identical; when transmitting at 90 degrees off broadside, the transmit area of the cube is identical to that of the broadside direction. The cubic geometry also dramatically improves the direction-finding process. By introducing a third dimension, the mathematics can more precisely determine the direction from which the object or the signal is coming, thus dramatically decreasing the ambiguity simply as a function of geometry. Both beam steering and direction of arrival simulations are performed in MATLAB and 4nec2 simulation environments for cubic phased arrays of various sizes and at different frequencies. This demonstrates that the endfire effects are eliminated and direction of arrival performance is dramatically improved. These findings are expected to lead to new designs of high fidelity three-dimensional phased arrays for a multitude of applications, especially for space applications where the three-dimensional geometry has the added benefit of resolving the requirements for compensation for the tumbling motion of objects in orbit.

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An antenna array is overloaded when the number of cochannel signals in its operating environment exceeds the number of elements. Conventional space-time array processing for narrow-band signals fails in overloaded environments. Overloaded array processing (OLAP) is most difficult when signals impinging on the array are near equal power, have tight excess bandwidth, and are of identical signal type. Despite the failure of conventional beamforming in such environments, OLAP becomes possible when a receiver exploits additional signal properties such as the finite-alphabet property and signal excess-bandwidth. This thesis proposes three approaches to signal extraction in overloaded environments, each providing a different tradeoff in performance and complexity. The first receiver architecture extracts signals from an overloaded environment through the use of MMSE interference rejection filtering embedded in a successive interference cancellation (SIC) architecture. The second receiver architecture enhances signal extraction performance by embedding a stronger interference rejection receiver, the reduced-state maximum aposteriori probability (RS-MAP) algorithm in a similar SIC architecture. The third receiver fine-tunes the performance of spatially reduced search joint detection (SRSJD) with the application of an energy focusing transform (EFT), a complexity reducing front-end linear pre-processor. A new type of EFT, the Energy Focusing Unitary Relaxed Transform (EFURT) is developed. This transform facilitates a continuous tradeoff between noise-enhancement and error-propagation in an SRSJD framework. EFURT is used to study the role of this tradeoff for SRSJD receivers in a variety of signal environments. It is found that for the environments studied in this thesis, SRSJD enjoys an aggressive reduction in interference at the expense of possible noise-enhancement. / Ph. D.

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