ABSTRACT
Background and Objectives: Aging in place (AIP) has been adopted as a key strategy to cope with the global public health challenge posed by population aging. The current study aimed to understand the association between older adult's AIP preference and various social and physical environmental factors at different scales. Research Design and Methods: Following the ecological model of aging, this paper conducted a questionnaire survey of 827 independent-living older adults (60 years old and above) from four big cities in China's Yangtze River Delta region and employed a structural equation modeling method for analysis. Results: Older adults from more developed cities exhibited a stronger preference for AIP than those from less developed cities. Individual characteristics, mental health, and physical health had a direct impact on AIP preference, whereas the effect of the community social environment was not significant. The perceived and objectively measured community-built environment indirectly affected AIP preference via mediation and chain effects. Discussion and Implications: Complex paths affecting AIP preference were identified. At the city level, the social environment had a stronger influence than the physical environment on AIP, and the opposite pattern was observed at the community level. Mental health and physical health had opposite effects on AIP preference. Although physical health was negatively associated with AIP, age-friendly communities with compact, diverse, and accessible built environments have a positive impact on older adults' physical health and therefore should be promoted.
ABSTRACT
Empirical studies undertaken in developed countries have shown that urban expansion may exert both positive and negative impacts on residents' health, depending on the planning strategy; however, the impact of rapid urban expansion on public health in developing countries is understudied. This paper takes Jiawang, China, as an example of rapid urban expansion and carries out a health impact assessment (HIA) on its regulatory detailed plan to better understand the interaction of the built environment and public health. We establish an HIA framework and select a series of indicators as health determinants. On this basis, we examine what impact the urban expansion will exert on the health equity of the residents by conducting a bivariate spatial autocorrelation. The finding shows that:1) Urban expansion produces positive health impact through the health determinants of public facilities, road transportation and land use. 2) Urban expansion will reduce health disparities between the old and new town and between the urban and suburban areas, especially between the old and new town. 3) The impact of expansion exerts on health equity will be generally positive. Low-income neighborhoods in the old town will significantly benefit from urban expansion in terms of road traffic and land use, but will not fully benefit in terms of public facilities. Low-income neighborhoods will no longer benefit from the accessibility to commercial facilities and will suffer from health inequities in terms of accessibility to healthcare facilities. 4) The government's development strategy of emphasizing on an even distribution of public resources will unintentionally contribute to improving health equity. The significant promotion of health equity will mitigate the negative impacts of the previous urban development.
Subject(s)
Built Environment , Residence Characteristics , Humans , Cities , China , Spatial AnalysisABSTRACT
Driven by the global carbon neutrality action, biomass-derived functional materials have been applied in many fields to alleviate the pressure brought by the depletion of fossil energy. However, due to the complex structure, lignin faces many difficulties in its high-value utilization. The second largest biomass in the world has become the largest "natural waste". In this paper, the lignin-based biochar-silica (LB-S) hybrid nanoparticles were prepared via a combination of two-step acid precipitation and carbonization using lignin black liquor extracted from xylose residue and sodium silicate as raw materials. The effects of carbonization temperature and lignin-based biochar (LB) content on the reinforcing properties of LB-S were studied. The results show that the particle size, specific surface area, pore characteristics, and surface polarity of LB-S all affect the mechanical properties of the final vulcanizates. The reinforcement performance of the best sample (LMB500-S) with "high structure" characteristics can be comparable to that of commercial carbon black (CB) N550. This study shows that LMB500-S hybrid nanoparticles with economic benefits possess the potential to completely replace commercial CB, which can turn lignin waste into treasure and promote the green development of traditional rubber industry in the context of carbon neutrality.
Subject(s)
Lignin , Rubber , Carbon/chemistry , Lignin/chemistry , Silicon Dioxide , Soot , Sustainable DevelopmentABSTRACT
PURPOSE: Flexible ureteroscopy (FURS) plays an important role in the diagnosis and treatment of urological diseases. However, manipulating a flexible ureteroscope to the target quickly and safely may be challenging because of the tortuous lumen or poor visibility. Thus, information on the shape of the anterior part of a flexible ureteroscope in addition to the real-time pose is needed to perform accurate maneuvering in the lumen with minimal impingement on the inner renal wall and resulting tissue damage in FURS. METHODS: An adaptive mixed-order Bézier curve fitting algorithm and electromagnetic tracking (EMT) technique were developed for shape estimation utilizing the length of the anterior part, kinematic constraints and the pose information provided by two electromagnetic (EM) sensors mounted at the tip and base of the anterior part. A series of experiments were performed to qualitatively and quantitatively verify the validity of our method. Moreover, algorithm threshold conditions with reference significance under various shape cases were studied. RESULTS: The performance of our method was evaluated based on 19 representative planar bending shapes that often appear in FURS and eight non-planar shapes, yielding an average error (AE) of 1.0 mm. Moreover, the experiments proved the feasibility of applying our method in cases in which large bending angles (near 270 degrees) occur. CONCLUSION: Based on data from two EM sensors mounted at the tip and base of the anterior part of a flexible ureteroscope, the proposed algorithm adaptively selects a cubic or quartic Bézier curve to fit the shape of the anterior part. Experimental results prove the feasibility of our shape estimation method over a broad bending range. The proposed method demonstrates significant potential for use in ureteroscopic navigation systems and robot-assisted surgery.
Subject(s)
Robotic Surgical Procedures , Ureteroscopes , Electromagnetic Phenomena , Equipment Design , Humans , Ureteroscopy/methodsABSTRACT
The COVID-19 pandemic and measures such as lockdowns affect food access, dietary choices, and food security. We conducted an online survey among 517 respondents during early 2020 in Nanjing, China to explore respondents' food acquisition behaviors before and during the pandemic and associations with the community food environment. Using geographic analysis and binary logistic models, we revealed that despite inconvenience regarding food acquisition, no food security issues occurred during lockdown in Nanjing. The pandemic changed the access and frequency of obtaining food; meanwhile, pre-pandemic habits had a strong impact on food acquisition behavior. Online and in-store food acquisition showed a substitution relationship, with online food access playing a crucial role in food acquisition. Physical and digit food outlets are highly integrated in Chinese urban communities, and both objectively measured and perceived accessibility of these food outlets had a significant association with the food acquisition methods and transportation mode chosen by people during this public health crisis.
Subject(s)
COVID-19 , COVID-19/epidemiology , China/epidemiology , Communicable Disease Control , Food , Humans , PandemicsABSTRACT
The camera is the main sensor of vison-based human activity recognition, and its high-precision calibration of distortion is an important prerequisite of the task. Current studies have shown that multi-parameter model methods achieve higher accuracy than traditional methods in the process of camera calibration. However, these methods need hundreds or even thousands of images to optimize the camera model, which limits their practical use. Here, we propose a novel point-to-point camera distortion calibration method that requires only dozens of images to get a dense distortion rectification map. We have designed an objective function based on deformation between the original images and the projection of reference images, which can eliminate the effect of distortion when optimizing camera parameters. Dense features between the original images and the projection of the reference images are calculated by digital image correlation (DIC). Experiments indicate that our method obtains a comparable result with the multi-parameter model method using a large number of pictures, and contributes a 28.5% improvement to the reprojection error over the polynomial distortion model.
Subject(s)
Algorithms , Vision, Ocular , Calibration , Human Activities , HumansABSTRACT
Endoscopies are crucial for detecting and diagnosing diseases in gastroenterology, pulmonology, urology, and other fields. To accurately diagnose diseases, sample biopsies are indispensable and are currently considered the gold standard. However, random 4-quadrant biopsies have sampling errors and time delays. To provide intraoperative real-time microscopic images of suspicious lesions, microscopic endoscopy for in vivo optical biopsy has been developed, including endocytoscopy and confocal laser endomicroscopy. This article reviews recent advances in technology and clinical applications, as well as their shortcomings and future directions.
Subject(s)
Photochemotherapy , Biopsy , Endoscopy/methods , Endoscopy, Gastrointestinal , Lasers , Microscopy, Confocal/methods , Photochemotherapy/methodsABSTRACT
Due to the complex network of aromatic units, lignin is difficult to achieve high-value applications in the industrial field, becoming the largest "natural waste". In this paper, dual-phase fillers with excellent rubber reinforcement were prepared from lignin and sodium silicate through the method of controllable two-step acid precipitation without any complicated modification. During the formation of hybrid nanoparticles, silica nanoparticles were formed as templates in the first step, and then lignin was used as coating agent to bind with silica. The size and morphology of products could be easily adjusted by changing acid precipitation conditions. The L60SS hybrid nanoparticles with the best reinforcement performance showed the ability to replace carbon black (CB) in a high proportion. In addition, LSRH-S hybrid nanoparticles made from rice husk black liquor had similar physical and chemical properties and excellent reinforcement properties to L60SS. Even if the ratio of each component of the raw material was different, the product could be flexibly controlled by the two-step acid precipitation to obtain the expected properties. The wide applicability of this method in many extraction processes based on alkaline procedures was proved, and it provided a basis for the process design of comprehensive utilization of biomass. This work will promote the application of lignin in high-value fields, and the sustainable development of the rubber industry by utilizing agricultural waste was achieved.
Subject(s)
Lignin , Nanoparticles , Biomass , Rubber , Silicon DioxideABSTRACT
Endoscopic optical imaging technologies for the detection and evaluation of dysplasia and early cancer have made great strides in recent decades. With the capacity of in vivo early detection of subtle lesions, they allow modern endoscopists to provide accurate and effective optical diagnosis in real time. This review mainly analyzes the current status of clinically available endoscopic optical imaging techniques, with emphasis on the latest updates of existing techniques. We summarize current coverage of these technologies in major hospital departments such as gastroenterology, urology, gynecology, otolaryngology, pneumology, and laparoscopic surgery. In order to promote a broader understanding, we further cover the underlying principles of these technologies and analyze their performance. Moreover, we provide a brief overview of future perspectives in related technologies, such as computer-assisted diagnosis (CAD) algorithms dealing with exploring endoscopic video data. We believe all these efforts will benefit the healthcare of the community, help endoscopists improve the accuracy of diagnosis, and relieve patients' suffering.
Subject(s)
Early Detection of Cancer , Endoscopy , Humans , Optical ImagingABSTRACT
Novel endoscopic biophotonic diagnostic technologies have the potential to non-invasively detect the interior of a hollow organ or cavity of the human body with subcellular resolution or to obtain biochemical information about tissue in real time. With the capability to visualize or analyze the diagnostic target in vivo, these techniques gradually developed as potential candidates to challenge histopathology which remains the gold standard for diagnosis. Consequently, many innovative endoscopic diagnostic techniques have succeeded in detection, characterization, and confirmation: the three critical steps for routine endoscopic diagnosis. In this review, we mainly summarize researches on emerging endoscopic optical diagnostic techniques, with emphasis on recent advances. We also introduce the fundamental principles and the development of those techniques and compare their characteristics. Especially, we shed light on the merit of novel endoscopic imaging technologies in medical research. For example, hyperspectral imaging and Raman spectroscopy provide direct molecular information, while optical coherence tomography and multi-photo endomicroscopy offer a more extensive detection range and excellent spatial-temporal resolution. Furthermore, we summarize the unexplored application fields of these endoscopic optical techniques in major hospital departments for biomedical researchers. Finally, we provide a brief overview of the future perspectives, as well as bottlenecks of those endoscopic optical diagnostic technologies. We believe all these efforts will enrich the diagnostic toolbox for endoscopists, enhance diagnostic efficiency, and reduce the rate of missed diagnosis and misdiagnosis.
Subject(s)
Clinical Trials as Topic , Endoscopy , Optical Phenomena , HumansABSTRACT
ß -cyclodextrin (ß-CD) and its derivatives are an emerging class of functional monomers that find widespread use in molecular imprinting. It is well known that ß-CD and its derivatives are capable of forming host-guest interaction inclusion complexes with many guest molecules. Molecularly imprinted polymers prepared via this type of interaction have the advantages of high stability and excellent selectivity. Therefore, ß-CD-based molecularly imprinted polymers have attracted much attention and have been extensively developed for the selective separation and enrichment of target compounds in environmental and food samples with complex matrices. The objective of this review is to reveal the advantages of such molecularly imprinted polymers in complex sample pretreatment by reviewing the applications of molecularly imprinted polymers based on ß-CD and its derivatives as functional monomers in environmental and food sample pretreatment since 2013.
ABSTRACT
High sensitivity and selectivity detection of NO at room temperature has always been full of challenges. In this work, a kind of porous ZnO with coralline-like nanostructure was prepared by a rapid and simple solid-state synthesis strategy, using zinc acetate and oxalic acid as precursors. Structural analysis and morphological investigations of the ZnO powder showed that it has a large specific surface area (32.75â¯m2 g-1) and many nanometer-sized channels between ZnO nanoparticles. This is beneficial to the adsorption and desorption of NO, which is an important reason for the selective detection of NO by the ZnO powder at room temperature. So based on the ZnO powder, a gas sensor was fabricated and its gas-sensing properties were investigated. It exhibited outstanding response (23.59) and fast response time (331â¯s) to 40â¯ppm of NO at room temperature (21⯱â¯2⯰C). As the relative humidity study changed from 17% to 80% at 10â¯ppm of NO, the sensitivity of the sensor changed little, only decreased from 1.43 to 1.12. The stability study was also carried out. Under the concentration of 5â¯ppm of NO, the relative standard deviation was 0.33% within 8â¯days, which indicates that the obtained sensor is suitable for practical application.
ABSTRACT
Polymer dots (PDs) were synthesized at 200 °C for 90 min via a microwave-assisted method. The PDs were characterized by fluorescence spectroscopy, UV-vis absorbance spectra, transmission electron microscopy, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy. The PDs display blue fluorescence under 320 nm excitation with a fluorescent quantum yield of 13.48%. The PDs show stable fluorescence against ion strength and light bleaching, especially extreme pH. Significant pH-independent behavior may relate to -OH of polyvinyl alcohol (PVA) retained on the surface of PDs. The bright fluorescence of PD solution can be distinctly quenched by cobalt ion (Co2+) and manganese ion (Mn2+) in PD solution. For Co2+, the linear was from 3.4 to 50.0 µmol L-1 and 46.7 to 600.0 µmol L-1 with the limit of detection (LOD) of 1.0 µmol L-1. The LOD of Mn2+ was 0.4 µmol L-1 in the range from 1.5 to 100.0 µmol L-1. Self-film-forming PDs (FPDs) were obtained via dropping PD solution on quartz glass. The bright blue fluorescence of FPDs can be obviously quenched by Co2+ and Mn2+. This paper may provide an efficient and flexible approach to the application of on-site detection. Graphical abstract Graphical abstract.