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Article ; Online: Mixture prior for sparse signals with dependent covariance structure.

Ling Wang / Zongqiang Liao

PLoS ONE, Vol 18, Iss 4, p e

2023 Volume 0284284

Abstract: In this study, we propose an estimation method for normal mean problem that can have unknown sparsity as well as correlations in the signals. Our proposed method first decomposes arbitrary dependent covariance matrix of the observed signals into two ... ...

Abstract	In this study, we propose an estimation method for normal mean problem that can have unknown sparsity as well as correlations in the signals. Our proposed method first decomposes arbitrary dependent covariance matrix of the observed signals into two parts: common dependence and weakly dependent error terms. By subtracting common dependence, the correlations among the signals are significantly weakened. It is practical for doing this because of the existence of sparsity. Then the sparsity is estimated using an empirical Bayesian method based on the likelihood of the signals with the common dependence removed. Using simulated examples that have moderate to high degrees of sparsity and different dependent structures in the signals, we demonstrate that the performance of our proposed algorithm is favorable compared to the existing method which assumes the signals are independent identically distributed. Furthermore, our approach is applied on the widely used "Hapmap" gene expressions data, and our results are consistent with the findings in other studies.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Mixture prior for sparse signals with dependent covariance structure

Ling Wang / Zongqiang Liao

PLoS ONE, Vol 18, Iss

2023 Volume 4

Abstract	In this study, we propose an estimation method for normal mean problem that can have unknown sparsity as well as correlations in the signals. Our proposed method first decomposes arbitrary dependent covariance matrix of the observed signals into two parts: common dependence and weakly dependent error terms. By subtracting common dependence, the correlations among the signals are significantly weakened. It is practical for doing this because of the existence of sparsity. Then the sparsity is estimated using an empirical Bayesian method based on the likelihood of the signals with the common dependence removed. Using simulated examples that have moderate to high degrees of sparsity and different dependent structures in the signals, we demonstrate that the performance of our proposed algorithm is favorable compared to the existing method which assumes the signals are independent identically distributed. Furthermore, our approach is applied on the widely used “Hapmap” gene expressions data, and our results are consistent with the findings in other studies.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Facile Synthesis of Nd 2 Fe 14 B Hard Magnetic Particles with Microwave-Assisted Hydrothermal Method

Ling Wang / Xiaofen Xu

Molecules, Vol 28, Iss 23, p

2023 Volume 7918

Abstract: The synthesis of Nd-Fe-B magnetic powders via chemical techniques presents significant promise, but poses challenges due to their inherent chemical instability. In this investigation, Nd-Fe-B hard magnetic particles were synthesized utilizing an eco- ... ...

Abstract	The synthesis of Nd-Fe-B magnetic powders via chemical techniques presents significant promise, but poses challenges due to their inherent chemical instability. In this investigation, Nd-Fe-B hard magnetic particles were synthesized utilizing an eco-friendly and simple microwave-assisted hydrothermal synthetic method. The technique involves the synthesis of the Nd-Fe-B oxide precursor using the microwave-assisted hydrothermal method, followed by reduction–diffusion using CaH 2 . The microwave-assisted hydrothermal technique presents a viable approach for preparing Nd-Fe-B precursor particles, offering advantages such as time and energy efficiency and environmental sustainability. The synthesized Nd-Fe-B particles demonstrated a coercivity of up to 2.3 kOe. These magnetic particles hold significant potential for use in high-performance permanent magnets, and can effectively contribute to developing high-energy density exchange-coupled nanocomposite magnets. This study also offers valuable insights into the design and synthesis of additional magnetic materials based on rare earth elements.
Keywords	microwave-assisted hydrothermal method ; Nd 2 Fe 14 B ; coercivity ; Organic chemistry ; QD241-441
Subject code	620
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Transient self-assembly driven by chemical fuels

Ling Wang / Jin Yuan / Jingcheng Hao

ChemPhysMater, Vol 3, Iss 1, Pp 1-

2024 Volume 23

Abstract: Self-assembly has been extensively studied in chemistry, physics, biology, and materials engineering and has become an important “bottom-up” approach in creating intriguing structures for different applications. Using dissipative self-assembly to ... ...

Abstract	Self-assembly has been extensively studied in chemistry, physics, biology, and materials engineering and has become an important “bottom-up” approach in creating intriguing structures for different applications. Using dissipative self-assembly to construct fuel-dependent, energy-consuming, and dynamic nonequilibrium systems is important for developing intelligent life-like materials. Furthermore, dissipative self-assembly has become a research hotspot in materials chemistry, biomedical science, environmental chemistry, and physical chemistry. An in-depth understanding of the process and mechanism provides useful insights to the researchers for developing materials using dissipative self-assembly and also helps guide future innovation in material fabrication. This critical review comprehensively analyzes various chemical fuel input and energy consumption mechanisms, supported by numerous illustrative examples. Versatile transient assemblies, including gels, vesicles, micelles, and nanoparticle aggregates, have been systematically studied in our and other laboratories. The relationship between the molecular structure of precursors and temporal assemblies in dissipative self-assemblies is discussed from the perspective of physical chemistry. Using dissipative self-assembly methods to construct functional assemblies provides important implications for constructing high-energy, nonequilibrium, and intelligent functional materials.
Keywords	Self-Assembly ; Chemical Fuel ; Consumption mechanisms ; Functional assemblies ; Chemistry ; QD1-999 ; Physics ; QC1-999
Subject code	540
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A comparative study of different sleep assessment methods for preschool children.

Zhenya, Chang / Ling, Wang

American journal of human biology : the official journal of the Human Biology Council

2023 Volume 35, Issue 10, Page(s) e23936

Abstract: Purpose: This study aimed to examine the differences between different sleep assessment methods for preschool children.: Methods: Preschool children (n = 54, mean age: 4.6 years) were recruited from kindergarten. Data were collected using an ... ...

Abstract	Purpose: This study aimed to examine the differences between different sleep assessment methods for preschool children. Methods: Preschool children (n = 54, mean age: 4.6 years) were recruited from kindergarten. Data were collected using an accelerometer, a sleep log, and sleep questionnaire. Furthermore, correlation analysis, Bland-Altman analysis, and repeated measures ANOVA were performed. Results: (1) The sleep duration evaluated by different sleep assessment methods were all significantly correlated, among which the sleep log and Sadeh algorithm showed the highest correlation (r = 0.972, p < .001), while the Tudor-Locke algorithm and the sleep questionnaire demonstrated the lowest correlation (r = 0.383, p < .01); (2) The points between different sleep assessment methods were all within 95% LoA, except for the sleep log and Tudor-Locke algorithm; (3) In various methods of sleep assessment, significant differences were observed in sleep onset (F Conclusions: Both the Sadeh algorithm and the Tudor-Locke algorithm can be used as effective algorithms for sleep duration assessment of Chinese preschool children, with the latter having obvious advantages in large sample surveys. Future research should pay attention to the differences between different sleep assessment methods when using these algorithms.
MeSH term(s)	Child, Preschool ; Humans ; Actigraphy/methods ; Sleep ; Sleep Duration ; Surveys and Questionnaires
Language	English
Publishing date	2023-06-19
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1025339-7
ISSN	1520-6300 ; 1042-0533
ISSN (online)	1520-6300
ISSN	1042-0533
DOI	10.1002/ajhb.23936
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Article: Is Every Meal a Message? Understanding the Eating Experience of Persons Living With Dementia Through Heideggerian Phenomenology.

Zih-Ling, Wang / Belza, Basia

Journal of gerontological nursing

2023 Volume 49, Issue 5, Page(s) 3–4

MeSH term(s)	Humans ; Dementia ; Eating
Language	English
Publishing date	2023-05-01
Publishing country	United States
Document type	Editorial
ZDB-ID	603140-7
ISSN	0098-9134
ISSN	0098-9134
DOI	10.3928/00989134-20230413-01
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Article ; Online: Modified mRNA-Based Vaccines Against Coronavirus Disease 2019

Aline Yen Ling Wang

Cell Transplantation, Vol

2022 Volume 31

Abstract: The pandemic of coronavirus disease 2019 (COVID-19) continuously causes deaths worldwide, representing a considerable challenge to health care and economic systems with a new precedent in human history. Many therapeutic medicines primarily focused on ... ...

Abstract	The pandemic of coronavirus disease 2019 (COVID-19) continuously causes deaths worldwide, representing a considerable challenge to health care and economic systems with a new precedent in human history. Many therapeutic medicines primarily focused on preventing severe organ damage and complications, which can be fatal in some confirmed cases. The synthesized modified mRNA (modRNA) represents a nonviral, integration-free, zero-footprint, efficient, and safe strategy for vaccine discovery. modRNA-based technology has facilitated the rapid development of the first COVID-19 vaccines due to its cost- and time-saving properties, thus initiating a new era of prophylactic vaccines against infectious diseases. Recently, COVID-19 modRNA vaccines were approved, and a large-scale vaccination campaign began worldwide. To date, results suggest that the modRNA vaccines are highly effective against virus infection, which causes COVID-19. Although short-term studies have reported that their safety is acceptable, long-term safety and protective immunity remain unclear. In this review, we describe two major approved modRNA vaccines and discuss their potential myocarditis complications.
Keywords	Medicine ; R
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Machine Vision-Based Ping Pong Ball Rotation Trajectory Tracking Algorithm

Yilei Wang / Ling Wang

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: Because of the overwhelming characteristics of computer vision technology, the trend of intelligent upgrading in sports industry is obvious. Video technical and tactical data extraction, big data analysis, and match assistance systems have caused ... ...

Abstract	Because of the overwhelming characteristics of computer vision technology, the trend of intelligent upgrading in sports industry is obvious. Video technical and tactical data extraction, big data analysis, and match assistance systems have caused profound changes to all aspects of the sports industry. One of the important applications is the playback and analysis of sports videos. People can observe the videos and summarize the experience of sports matches, and in this process, people prefer the computers to also interpret and analyze sports matches, which can not only help coaches in postmatch analysis but also design robots to assist in teaching and training. In this paper, we have examined and designed an automatic detection system for ping pong balls, in which the motion trajectory and rotation information of ping pong balls are mainly detected. To achieve this goal, the detection and tracking algorithm of ping pong balls based on deep neural network is used, and better results are achieved on the data set established by ourselves and the actual system test. After obtaining the position of the ping pong ball in the image, the rotation direction and speed of the ping pong ball are calculated next, and the Fourier transform-based speed measurement method and the CNN-based rotation direction detection method are implemented, which achieve better results in the testing of lower speed datasets. Finally, this paper proposes an LSTM-based trajectory prediction algorithm to lay the foundation for the design of table tennis robot by predicting the trajectory of table tennis. Experimental tests show that the proposed system can better handle the ping pong ball tracking and rotation measurement problems.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	629
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Opioid prescriptions for individuals receiving workers' compensation in Michigan.

Kenneth D Rosenman / Ling Wang

PLoS ONE, Vol 17, Iss 8, p e

2022 Volume 0272385

Abstract: Purpose We evaluated the prevalence of opioid prescriptions after injury and associated characteristics among workers receiving workers' compensation for a lost work time injury. Methods Injured workers identified in Michigan's Workers' Compensation ... ...

Abstract	Purpose We evaluated the prevalence of opioid prescriptions after injury and associated characteristics among workers receiving workers' compensation for a lost work time injury. Methods Injured workers identified in Michigan's Workers' Compensation records from 2016 to 2018 were linked to the opioid prescription history in the Michigan Automated Prescription System. Results Among the 46,934 injured workers with paid claims, the prevalence of receiving an opioid prescription, morphine milligram equivalents (MME) per prescription, number of opioid prescription and probability of receiving opioids prescription>90 days after injury decreased from 2016-2018. Despite the decrease over 50% of the injured workers received an opioid prescription. Being over 34 years, a male, having had an opioid prescription before the injury, working in construction or having an amputation or sprain/strain of the shoulder had a significantly higher probability of receiving an opioid prescription, a higher MME per prescription, a higher number of opioid prescriptions and a higher probability having opioids prescription >90 days after the injury. Conclusions Even though opioid prescribing patterns generally decreased from 2016 to 2018 (64.5-52.8%), injured workers in Michigan had a higher prevalence of opioid prescription after injury, than those reported from other states.
Keywords	Medicine ; R ; Science ; Q
Subject code	337
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Extended Robust Chance-Constrained Power Allocation Scheme for Multiple Target Localization of Digital Array Radar in Strong Clutter Environments

Chenyan Xue / Ling Wang / Daiyin Zhu

Remote Sensing, Vol 15, Iss 1267, p

2023 Volume 1267

Abstract: The traditional power allocation method for multi-target localization adopts the Robust Chance Constrained Power Allocation Scheme (RCC-PA), which does not consider the strong clutter characteristics in the current radar detection environment. However, ... ...

Abstract	The traditional power allocation method for multi-target localization adopts the Robust Chance Constrained Power Allocation Scheme (RCC-PA), which does not consider the strong clutter characteristics in the current radar detection environment. However, how to reasonably allocate the power required for the radar to locate the target in the strong clutter is a fundamental challenge for improving the combat capability of the radar. Since Simultaneous Multi-beam Digital Array Radar (SM-DAR) can provide high-resolution information on targets in strong clutter, this paper extends the RCC-PA scheme to strong clutter and introduce an extended target model suitable for high-resolution SM-DAR. At the same time, the Gamma distribution is used to reflect the statistical characteristics of the Radar Cross Section (RCS) so that the extended RCC-PA scheme (ERCC-PA) can be suitable for all the scatterers whose RCS belong to Gamma distribution families. In the ERCC-PA scheme, the Strong Clutter Information Reduction Factor (SCIRF) of the extended target is first derived. Then, a Gamma Chance-constraint Programming Model ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="sans-serif">Γ</mi></semantics></math> -CCP model) is constructed to optimize the power allocation for locating multiple extended targets in strong clutter. The extended dichotomy method for power allocation is also given. Theoretical analysis shows that the power of multi-target localization in strong clutter can still be reasonably allocated under the target with multi-measurement characteristics. In addition, the power distribution of multi-target localization in the strong clutter is negatively correlated with the shape parameter of the Gamma distribution. Specifically, the larger the shape parameter characterizes the larger individual strong scatterer, resulting in the SM-DAR requiring less positioning power. The experimental results verify the theoretical analysis and show that ...
Keywords	multi-target localization ; Strong Clutter Information Reduction Factor (SCIRF) ; Extended Robust Chance-Constrained Power Allocation (ERCC-PA) ; Gamma Chance-constraint Programming (Γ-CCP) ; Radar Cross Section (RCS) ; extended target ; Science ; Q
Subject code	600
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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