196 research outputs found
sj-docx-1-ajr-10.1177_19458924231163974 - Supplemental material for Some Macrophages With High Expression of CHOP Undergo Necroptosis in Chronic Rhinosinusitis
Supplemental material, sj-docx-1-ajr-10.1177_19458924231163974 for Some Macrophages With High Expression of CHOP Undergo Necroptosis in Chronic Rhinosinusitis by Min Li, Ziming Fu, Chenglin Qi, Qinying Wang, Hui Xie and Huabin Li in American Journal of Rhinology & Allergy</p
Nano-self-assembly in Mn-based spinels through solid state process
Transition-metal oxides characterized with anisotropic d-orbital electrons are subject to intense discussion in strongly correlated electron systems, ranging from colossal magnetoresistance (CMR) to high temperature superconductivity (HTSC). The orbital degree of freedom often underpins complex physical properties and a variety of extraordinary phenomena while coupling with charge, spin and lattice. In this thesis, we demonstrate a fascinating example of orbital-related physical properties in Mn-based spinels. The strong octahedral preference of Jahn-Teller ions Mn3+ results in simultaneous chemical and structural phase separation into Mn-poor (cubic) and Mn-rich (tetragonal) regions, forming two types of rectangular nanorods with cross section checkerboard-like (CB). Because of the pioneering discovery of checkerboards in the nonmagnetic ZnMnxGa1-xO4, we chose to study two magnetic spinel systems: (1) Mg(MnxFe1-x)O4, where unfortunately only poorly-ordered magnetic nano CBs were observed; and (2) Mn-doped CoFe2O4, the nano CBs with distinct magnetic properties and tunable sizes achieved here are highly ordered, exhibiting a nearly ideal architecture for the patterned perpendicular recording medium. The evolution of such compositional separation and topological nanoscale ordering is reasonably understood based on a three dimensional (3D) phase-field microelasticity (PFM) model.Ph.D.Includes bibliographical references.by Chenglin Zhan
The Measurement of Integrated Human Service Network (The Children's Treatment Network of Simcoe York)
Title: The Measurement of Integrated Human Service Network (The Children's Treatment Network of Simcoe York), Author: Chenglin Ye, Location: ThodeCommunity-based human services have traditionally been provided by autonomous
service agencies. They have their own funding source and independent process.
Integration has been advocated as a key strategy to integrate different agencies together
to provide multiple services for a targeted community. The Children's Treatment Network
(CTN) of Simcoe York is a network of agencies and organizations providing services to
children with multiple needs and their families in Simcoe County and York Region. This
study was designed to evaluate the different levels of integrated service approaches for
children on outcomes. The study consisted of two parts: phase I and phase II
measurement. Our project covered phase I measurement with the following objectives. Clinically,
we aimed to evaluate agencies' integration in the network, promote discussion, and
determine any interrelationship between a network's integration and its functioning. The
statistical objectives were to quantify the network integration for agency, to represent the
overall integration, to quantify the association between network's integration and
functioning and to assess the sensitivity of results. We measured agencies' integration through measuring its agreement in
collaboration with other agencies in the network. The higher agreement in collaboration
indicates a better services integration. We defined four different agreement measures
from different perspectives. The agreement based on group's perception was defined to
be the primary measure. We used mean difference, percentage and the Kappa statistic
to measure the agreement for each agency. Correlation and regression analyses were
applied in investigating the association between network's integration and its functioning. The sensitivity of the results was analyzed by examining the re-sampling bias of
bootstrapping regression models. Agreement measures were consistent for each agency. In Simcoe, agencies had
an average agreement 0.874 (S.D. 0.213) in mean difference, 46.63 (S.D. 12.91) in
percentage and 0.258 (S.D. 0.143) in Kappa. Agencies of York had average agreements
of 0.662 (S.D. 0.204), 49.36 (S.D. 13.06) and 0.282 (S.D. 0.121), respectively. Agency
10 and 33 in Simcoe and Agency 14 in York were found to have the highest agreement.
Agency 3 and 21 in Simcoe and Agency 8 and 9 in York, on the other hand, were found
to have the lowest agreement. Different graphical displays illustrated that the overall
agreement in collaboration was low and the agencies in York generally had a higher
agreement. Correlation analysis showed that synergy and agencies' perception of pros
and cons were significantly correlated with the primary percentage agreement. In
regression analysis, we did not find any significant functioning component. However,
synergy was found to be much more associated with agreement than the other
components. The estimates were 11.48% (-1.03%, 24.00%) and 11.21% (-2.48%,
24.90%) in un-weighted and weighted models respectively. Bootstrapping regression
analysis showed that the results were robust to a change of sample. We concluded that the level of integration of CTN was low because the agencies
generally had poor agreement in collaboration. Synergy was the most important
component associated with the network's integration. Other functioning components
detected were also associated with the integrating process but were less clinically
important. We discussed the statistical approaches used in other contexts and some of
their strength and weaknesses. We also considered some key limitations of the study.
This study was a baseline measurement of CTN of Simcoe York for further analysis. The
results provided a basis for future enhancement of integration of the network. Our
experiences also provided ideas for improving design and analysis in integrated network
measurement.ThesisMaster of Science (MS
RETRACTED ARTICLE: Stem-like cells of various origins showed therapeutic effect to improve the recovery of spinal cord injury
Stem-like cells of various origins showed therapeutic effect to improve the recovery of spinal cord injuryWe, the Editors and Publisher of the journal Artificial Cells, Nanomedicine, and Biotechnology, have retracted the following article:Jian Kang, Chenglin Zhang, Zhongzheng Zhi, Yingjie Wang, Jingdong Liu, Furong Wu & Guanghui Xu (2020) Stem-like cells of various origins showed therapeutic effect to improve the recovery of spinal cord injury, Artificial Cells, Nanomedicine, and Biotechnology, 48:1, 627–638, DOI: 10.1080/21691401.2020.1725031Following publication of this article, concerns about the scientific integrity of the article were brought to the Publisher and Editor’s attention.Whilst the authors were fully cooperative with the investigation and able to answer some questions, they were unable to provide the original western blot data.In addition, concerns remain about the methods used for the animal experiments. As these concerns directly impact the reported results and conclusions, the Editor and Publisher have agreed to retract the article to ensure correction of the scholarly record. The corresponding author has been informed. The authors do not agree with the retraction.We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’
Informal Rules, Transactions Costs, and the Failure of the Takings Law in China
Since the 1990s, China has witnessed large-scale demolition projects aimed at making room for commercial development. Commercial developers have been reluctant to provide residents with compensation and relocation arrangements, resulting in tension between residents and developers. To strike a balance between economic development and private property protection, lawmakers passed several laws to regulate government takings. In March 2004, a clause was added to Article 13 of the Constitution, requiring the government to compensate private owners when their property is taken for public use. The author concludes that widespread misuse of public purpose takings and forced evictions indicate that these new rules have failed to protect private owners
Precision design and control of a flexure-based multi-layer roll-to-roll printing system
Ph.D.The purpose of this research is to generate the scientific and engineering knowledge to develop a flexure-based multi-layer roll-to-roll (R2R) printing system that achieves submicron level alignment precision for large-scale continuous printing processes. To achieve the goal, a five-axis flexure-based roller nanopositioner is developed; and new vision-based alignment methods are developed for real-time submicron web position monitoring.R2R printing technologies have been widely used in many important fields, e.g., organic photovoltaics and flexible electronics. They present tremendous advantages in terms of cost and throughput. However, state-of-the-art R2R systems can only print multi-layer patterns with an accuracy of 10s microns, largely due to the use of traditional mechanical components that lack the required repeatability and precision; in the meantime, conventional methods for monitoring the web position, e.g., edge sensors or ordinary alignment marks, cannot meet the new precision requirement (i.e., 100s nm), preventing high-precision systems to be developed. Although high precision sensors, e.g., capacitance probes or interferometers, are commercially available, they are prohibitively expensive to include for five-axis motion control.To address the issue, a flexure-based five-axis positioner is modeled and designed, which consists of two monolithic X-Z stages that control the two ends of an independent flexure stage (i.e., Y stage) that houses the print roller, and provides five-axis decoupled motion control capability. On the other hand, a vision-based alignment method is designed: two cameras realtime monitor the hybrid alignment marks and provide high-resolution web position feedback. The roller positioner and vision-based alignment system have been integrated with a singlelayer R2R printing system; in combination with multiple-input and multiple-output (MIMO) closed-loop control algorithms, the R2R platform achieves 100s nm precision in all five axes.This work has substantially extended the performance envelope of multi-layer R2R printing technologies to realize emerging applications that require nanometer pattern resolution and submicron overlay accuracy, e.g., flexible electronics and organic optoelectronic devices. The flexure design method and the multi-axis alignment strategy present a practicable solution for achieving nanometer registration accuracy for various R2R platforms. The new multi-layer R2R printing system can readily be scaled up for industrial processes and generate impact to manufacturing industry.本研究旨在为实现亚微米级对准精度的卷对卷多层印刷提供理论依据与工程技术。为了实现这一目标,本研究设计了一个基于柔性机构的五轴纳米平台,用以微调印刷辊的位姿;以及基于机器视觉的校准技术,用以实时监测薄膜的位姿。卷對卷印刷技術,因為成本低、產量大,有著不可比擬的優勢,已被廣泛應用於許多新興產業,如有機光伏器件和柔性電子產品。縱然如此,目前的卷對卷印刷系統,只能實現数十微米的對準精度,從而無法加工出具有複雜功能性的器件。现存卷对卷系统对准精度低的主要原因如下:採用了無法實現納米級重复精度和定位精度的傳統機械部件;选用了精度不相稱的位姿測量方法,譬如边缘检测器或一般的对准标记,而一些高精度的传感器如电容探针或干涉仪等由于价格昂贵,不适合用于卷对卷系统中的多轴运动控制。要實現高精度的卷對卷多層印刷,必須解決傳統多層卷對卷系統中定位準確度差和位姿回饋精度低的問題。該多層卷對卷系統在現有的已實現百納米級印刷精度的卷對卷系統上,整合了能對卷軸進行高精度多自由度誤差校正的柔性五軸平臺以及能提供高精度多軸位姿回饋的視覺式校準技術,并采用了多输入多输出的闭环控制算法,从而在卷对卷多层印刷过程中关键的五个轴上均实现了数百纳米的控制精度。本研究大大拓展了卷對卷多層印刷技術的性能及應用範圍,實現了多項從前不能實現的,需要納米級印刷精度及亞微米級對準精度的新興應用,例如:柔性印刷電路板和有機光電子器件的卷對卷加工。多軸柔性平臺的設計與多自由度校準技術的結合,為各種卷對卷系統實現納米級對準精度的多層印刷提供了一個切實可行的解決方案。該高精度多層卷對卷系統可以直接擴容用於工業生產線上,並對製造業產生深遠影響。Li, Chenglin."October 2018."Thesis Ph.D. Chinese University of Hong Kong 2019.Includes bibliographical references (leaves 97-102).Abstracts also in Chinese.Title from PDF title page (viewed on …)
Road Information Extraction from High-Resolution Remote Sensing Images Based on Road Reconstruction
Traditional road extraction algorithms, which focus on improving the accuracy of road surfaces, cannot overcome the interference of shelter caused by vegetation, buildings, and shadows. In this paper, we extract the roads via road centerline extraction, road width extraction, broken centerline connection, and road reconstruction. We use a multiscale segmentation algorithm to segment the images, and feature extraction to get the initial road. The fast marching method (FMM) algorithm is employed to obtain the boundary distance field and the source distance field, and the branch backing-tracking method is used to acquire the initial centerline. Road width of each initial centerline is calculated by combining the boundary distance fields, before a tensor field is applied for connecting the broken centerline to gain the final centerline. The final centerline is matched with its road width when the final road is reconstructed. Three experimental results show that the proposed method improves the accuracy of the centerline and solves the problem of broken centerline, and that the method reconstructing the roads is excellent for maintain their integrity
Object-Based Shadow Index via Illumination Intensity from High Resolution Satellite Images over Urban Areas
For multi-spectral remote sensing imagery, accurate shadow extraction is of great significance for overcoming the information loss caused by high buildings and the solar incidence angle in urban remote sensing. However, diverse solar illumination conditions, similarities between shadows, and other dark land features bring uncertainties and deviations to shadow extraction processes and results. In this paper, we classify shadows as either strong or weak based on the ratio between ambient light intensity and direct light intensity, and use the fractal net evolution approach (FNEA), which is a multi-scale segmentation method based on spectral and shape heterogeneity, to reduce the interference of salt and pepper noise and relieve the error of misdiagnosing land covers with high reflectivity in shaded regions as unshaded ones. Subsequently, an object-based shadow index (OSI) is presented according to the illumination intensities of different reflectance features, as well as using the normalized difference water index (NDWI) and near infrared (NIR) band to highlight shadows and eliminate water body interference. The data from three high-spatial-resolution satellites—WorldView-2 (WV-2), WorldView-3 (WV-3), and GaoFen-2 (GF-2)—were used to test the methods and verify the robustness of the OSI. The results show that the OSI index performed well regarding both strong and weak shadows with the user accuracy and the producer accuracy both above 90%, while the four other existing indexes that were tested were not effective at diverse solar illumination conditions. In addition, all the disturbances from water body were excluded well when using the OSI, except for the GF-2 data in weak shadows
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