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Tingting Liu

Bio: Tingting Liu is an academic researcher from Beijing University of Technology. The author has contributed to research in topics: Population & Interference (wave propagation). The author has an hindex of 25, co-authored 115 publications receiving 1786 citations. Previous affiliations of Tingting Liu include Beihang University & Auckland University of Technology.


Papers
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Journal ArticleDOI
TL;DR: It is shown that sporophyll maturation of U. pinnatifida in New Zealand influenced fucoidan content and composition, which could potentially be a good resource for natural antioxidants.

188 citations

Journal ArticleDOI
TL;DR: It is shown that for the MIMO-IBC where each user has one desired data stream, a proper system is feasible and the difference between the necessary conditions and the sufficient conditions of linear IA feasibility is analyzed.
Abstract: In this paper, we analyze the feasibility of linear interference alignment (IA) for multi-input-multi-output (MIMO) interference broadcast channel (MIMO-IBC) with constant coefficients. We pose and prove the necessary conditions of linear IA feasibility for general MIMO-IBC. Except for the proper condition, we find another necessary condition to ensure a kind of irreducible interference to be eliminated. We then prove the necessary and sufficient conditions for a special class of MIMO-IBC, where the numbers of antennas are divisible by the number of data streams per user. Since finding an invertible Jacobian matrix is crucial for the sufficiency proof, we first analyze the impact of sparse structure and repeated structure of the Jacobian matrix. Considering that for the MIMO-IBC the sub-matrices of the Jacobian matrix corresponding to the transmit and receive matrices have different repeated structure, we find an invertible Jacobian matrix by constructing the two sub-matrices separately. We show that for the MIMO-IBC where each user has one desired data stream, a proper system is feasible. For symmetric MIMO-IBC, we provide proper but infeasible region of antenna configurations by analyzing the difference between the necessary conditions and the sufficient conditions of linear IA feasibility.

101 citations

Journal ArticleDOI
TL;DR: In this paper, the authors proposed a SWOT analysis to diagnose and identify the economic, environmental and social impacts from bioenergy production on marginal land, including land available, energy crop adaptability and rural economy development, while the weaknesses include economic viability, environmental impacts and equity and gender concerns.

94 citations

Journal ArticleDOI
TL;DR: Compared with the traditional end-to-end frameworks, the proposed ARHPE network can leverage the asymmetric relation cues for predicting the head pose angle in the incorrect label scenarios and significantly outperforms other state-of-the-art approaches.
Abstract: Head pose estimation (HPE) has wide industrial applications, such as online education, human–robot interaction, and automatic manufacturing. In this article, we address two key problems in HPE based on label learning and asymmetric relation cues: 1) how to bridge the gap between the better prediction performance of networks and incorrectly label pose images in the HPE datasets and 2) how to take full advantage of the adjacent poses information around the centered pose image. We reconstruct all the incorrect labels as a two-dimensional Lorentz distribution to tackle the first problem. Instead of directly adopting the angle values as hard labels, we assign part of the probability values (soft labels) to adjacent labels for learning discriminative feature representations. To address the second problem, we reveal the asymmetric relation nature of HPE datasets. The yaw direction and pitch direction are assigned different weights by introducing the half at half-maximum of the Lorentz distribution. Compared with the traditional end-to-end frameworks, the proposed one can leverage the asymmetric relation cues for predicting the head pose angle in the incorrect label scenarios. Extensive experiments on two public datasets and our infrared dataset demonstrate that the proposed ARHPE network significantly outperforms other state-of-the-art approaches.

93 citations

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated related governmental departments and 10 represented enterprises that put internet + recycling into practice in China, identifying the problems faced by the enterprises and show four typical internet recycling modes.
Abstract: “Internet +” recyclable resources recycling is a new recycling program which developed quickly in China over the past three years. Indenting problems faced by internet recycling programs and summarizing typical modes are in need and necessary. To better realize and promote the new recycling way in China, we investigate related governmental departments and 10 represented enterprises that put “internet +” recycling into practice in China. From our investigation, we identify the problems faced by the enterprises and show four typical internet recycling modes. Based on the problems and cases analysis, the implications for sustainable “internet +” recycling are discussed. We suggest building a connection between online and offline, establishing a variety of profit models, educating older generations on the “internet +” recycling platform, and meeting the recycling requirements on low-value recyclable resources through the application of smart machines.

77 citations


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08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

01 Jan 2014
TL;DR: These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care.
Abstract: XI. STRATEGIES FOR IMPROVING DIABETES CARE D iabetes is a chronic illness that requires continuing medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. Diabetes care is complex and requires that many issues, beyond glycemic control, be addressed. A large body of evidence exists that supports a range of interventions to improve diabetes outcomes. These standards of care are intended to provide clinicians, patients, researchers, payors, and other interested individuals with the components of diabetes care, treatment goals, and tools to evaluate the quality of care. While individual preferences, comorbidities, and other patient factors may require modification of goals, targets that are desirable for most patients with diabetes are provided. These standards are not intended to preclude more extensive evaluation and management of the patient by other specialists as needed. For more detailed information, refer to Bode (Ed.): Medical Management of Type 1 Diabetes (1), Burant (Ed): Medical Management of Type 2 Diabetes (2), and Klingensmith (Ed): Intensive Diabetes Management (3). The recommendations included are diagnostic and therapeutic actions that are known or believed to favorably affect health outcomes of patients with diabetes. A grading system (Table 1), developed by the American Diabetes Association (ADA) and modeled after existing methods, was utilized to clarify and codify the evidence that forms the basis for the recommendations. The level of evidence that supports each recommendation is listed after each recommendation using the letters A, B, C, or E.

9,618 citations

Journal ArticleDOI
01 May 1981
TL;DR: This chapter discusses Detecting Influential Observations and Outliers, a method for assessing Collinearity, and its applications in medicine and science.
Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

4,948 citations