An exploration and a participatory study toolkit: identifying the relationship between pavements and older pedestrians

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonWalking is the most regular activity for older people to keep healthy and is a popular means of transport for seniors doing their daily errands. Pedestrian pavements play an important role regarding the quality of walking among older people, whereas poorly designed or badly maintained pavements may pose challenges to walking. An empirical study was conducted in London with 41 senior residents aged 60 and over. It aimed to identify hazardous factors of the pavement, explore the behavioural and physical impact of pavement hazards on older people and gather the elders’ requirements for improving the pavement. A mix of qualitative methods and quantitative methods collaborating interviews, observations, cultural probe, and questionnaires were used to collect data. Qualitative analysis encompassing transcription, coding, and categorising and statistical analysis, assisted by the use of software, were applied to examine the data. The study outcomes show that hazardous pavement factors were made up of poor pavement conditions and pavement obstructions categorising broken conditions, uneven surfaces, narrow pavements, slippery obstacles, parked vehicles, overgrown plants, and so on. These factors could increase the risk of falling to the participants, cause physical burdens to the participants and limit their walking and view. The participants had to adapt their walking behaviour or gait patterns to avoid the hazardous factors. For example, they often adopted cautious steps, walked slowly, stepped aside, gave way to other people, adjusted their pace, or stopped walking to mitigate the walking risk caused by pavement hazards. Regarding minimising those accident-prone conditions and creating a safe and comfortable walking environment for older pedestrians, the participants came up with suggestions for improving the pavement. Wide and flat pavements, clean paved surfaces free from obstacles, and a pedestrianised pavement with well-maintained and uniformly designed street amenities were found to be mostly requested by the participants. The empirical outcomes have been translated into a map-based toolkit to enable researchers, namely local councillors, urban planners, neighbourhood designers, and road engineers, to have a better understanding of the relationship between pavements and older adults and to further explore the study topic through a participatory study with older adults as the participants. In the participatory study, users can use the tool to identify hazardous factors of pavements and their impact on walking in the study participants and to propose recommendation to enhance the walking environment based on a printed map of a local pavement environment. As to the outputs of the study, plenty of analysable data which are systematically categorised by the tool will be provided to researchers. Then, researchers can prioritise problems with the pavement, analyse the significant walking behaviour associated with the pavement hazards and make improvements in the pavement. The toolkit has been evaluated by target users in interviews and workshops with questionnaires applied to collect feedback. According to the user feedback, the tool encouraged elderly participants to actively share their views and to generate ideas in a group activity. Also, the tool enabled researchers to conduct an efficient group study, to develop their work with new knowledge and to create an assessment report and design guidance for the age-friendly pavement environment

High Capacity Reversible Data Hiding for Encrypted 3D Mesh Models Based on Topology

Reversible data hiding in encrypted domain(RDH-ED) can not only protect the privacy of 3D mesh models and embed additional data, but also recover original models and extract additional data losslessly. However, due to the insufficient use of model topology, the existing methods have not achieved satisfactory results in terms of embedding capacity. To further improve the capacity, a RDH-ED method is proposed based on the topology of the 3D mesh models, which divides the vertices into two parts: embedding set and prediction set. And after integer mapping, the embedding ability of the embedding set is calculated by the prediction set. It is then passed to the data hider for embedding additional data. Finally, the additional data and the original models can be extracted and recovered respectively by the receiver with the correct keys. Experiments declare that compared with the existing methods, this method can obtain the highest embedding capacity

Determining Singularity-Free Inner Workspace through Offline Conversion of Assembly Modes for a 3-RRR PPM

The existing singularity avoidance methods have deficiencies, such as the conditionality of the online conversion of the assembly modes (AMs) and the kinematically redundant manipulator with the predicament of the prototype design and added complexity of the mechanism. To address these issues, a method to determine a singularity-free inner workspace through offline conversion of the AMs of the 3-RRR planar parallel manipulator (PPM) is presented. Based on the geometric relations among rods of the manipulator during the occurrence of singularity, and the singular points at or near the boundary of the workspace are permitted, the AMs and ranges of the orientation angle of the moving platform corresponding to the inner singularity-free workspace are determined through a three-dimensional search method. The simulation and experimental comparisons indicate that singular-free paths related to the constant or variable orientation angle of the moving platform can be planned on the singularity-free inner workspace

Bioequivalence and Population Pharmacokinetic Modeling of Two Forms of Antibiotic, Cefuroxime Lysine and Cefuroxime Sodium, after Intravenous Infusion in Beagle Dogs

To investigate the bioequivalence and the population pharmacokinetics of cefuroxime lysine and cefuroxime sodium in healthy beagle dogs. A randomized 2-period crossover design in 18 healthy beagle dogs after receiving 20, 40, and 80 mg/kg of cefuroxime lysine or cefuroxime sodium was conducted. A 3-compartment open model was used as the basic model for the population pharmacokinetic study. Both of the antibiotics exhibited dose-proportional pharmacokinetics over the dose range of 20–80 mg/kg. The mean relative bioavailability of cefuroxime lysine versus cefuroxime sodium was 1.05 (range, 0.71 to 1.42), with a significant difference between males and females. The estimates of population pharmacokinetic of CL, V1, Q2, V2, Q3, V3 were 3.74 mL/h, 1.70 mL, 29.5 mL/min, 3.58 mL, 0.31 mL/min, and 158 mL for cefuroxime lysine and 4.10 mL/h, 1.00 mL, 38.5 mL/min, 4.19 mL, 0.06 mL/min, and 13.6 mL for cefuroxime sodium, respectively. The inter-individual variability was determined to be less than 29.1%. A linear pharmacokinetic was revealed for cefuroxime lysine and cefuroxime sodium in dogs after intravenous infusion, and the bioequivalence of these forms of the antibiotic was observed with the significant gender-related differences in mean relative bioavailability of cefuroxime lysine versus cefuroxime sodium

Estimation of nitrogen in cotton leaves using different hyperspectral region data

As an important index of a plant’s N nutrition, leaf nitrogen content (LNC) can be quickly monitored in real time with hyperspectral information, which is helpful to guide the precise application of N in cotton leaves. In this study, taking cotton dripping in Xinjiang, China, as the object of study, five N application treatments (0, 120, 240, 360, 480 kg·ha-1) were set up, and the hyperspectral data and the N content of main stem functional leaves at the cotton flower and boll stage were collected. The results showed that (1) comparing the correlations of the three types of spectral data from the original spectra, first derivative spectra, and second derivative spectra with the LNC of cotton, the first derivative spectra increased the correlation between the reflectance in the peak and valley ranges of the spectral curves and the LNC of cotton; (2) in the three hyperspectral regions of VIS, NIR, and SWIR, all R2 values of the estimation model for the LNC of cotton established based on the characteristic wavelengths of the original and the first derivative spectra were greater than 0.8, and the model accuracy was better than that of the second derivative spectra; and (3) the normalized root mean square error (n-RMSE) values of the validated model using MLR, PCR, and PLSR regression methods were all in the range of 10–20%, indicating that the established model could well estimate the nitrogen content of cotton leaves. The results of this study demonstrate the potential of the three hyperspectral domains of VIR, NIR, and SWIR to estimate the LNC of cotton and provide a new basis for hyperspectral data application in crop nutrient monitoring

The role of TXNIP in cancer: a fine balance between redox, metabolic, and immunological tumor control

Thioredoxin-interacting protein (TXNIP) is commonly considered a master regulator of cellular oxidation, regulating the expression and function of Thioredoxin (Trx). Recent work has identified that TXNIP has a far wider range of additional roles: from regulating glucose and lipid metabolism, to cell cycle arrest and inflammation. Its expression is increased by stressors commonly found in neoplastic cells and the wider tumor microenvironment (TME), and, as such, TXNIP has been extensively studied in cancers. In this review, we evaluate the current literature regarding the regulation and the function of TXNIP, highlighting its emerging role in modulating signaling between different cell types within the TME. We then assess current and future translational opportunities and the associated challenges in this area. An improved understanding of the functions and mechanisms of TXNIP in cancers may enhance its suitability as a therapeutic target

Osteogenic and anti-inflammatory effect of the multifunctional bionic hydrogel scaffold loaded with aspirin and nano-hydroxyapatite

Although tissue engineering offered new approaches to repair bone defects, it remains a great challenge to create a bone-friendly microenvironment and rebuild bone tissue rapidly by a scaffold with a bionic structure. In this study, a multifunctional structurally optimized hydrogel scaffold was designed by integrating polyvinyl alcohol (PVA), gelatin (Gel), and sodium alginate (SA) with aspirin (ASA) and nano-hydroxyapatite (nHAP). The fabrication procedure is through a dual-crosslinking process. The chemical constitution, crystal structure, microstructure, porosity, mechanical strength, swelling and degradation property, and drug-release behavior of the hydrogel scaffold were analyzed. Multi-hydrogen bonds, electrostatic interactions, and strong “egg-shell” structure contributed to the multi-network microstructure, bone tissue-matched properties, and desirable drug-release function of the hydrogel scaffold. The excellent performance in improving cell viability, promoting cell osteogenic differentiation, and regulating the inflammatory microenvironment of the prepared hydrogel scaffold was verified using mouse pre-osteoblasts (MC3T3-E1) cells. And the synergistic osteogenic and anti-inflammatory functions of aspirin and nano-hydroxyapatite were also verified. This study provided valuable insights into the design, fabrication, and biological potential of multifunctional bone tissue engineering materials with the premise of constructing a bone-friendly microenvironment

The Photoperiod-Insensitive Allele Ppd-D1a Promotes Earlier Flowering in Rht12 Dwarf Plants of Bread Wheat

The gibberellin-responsive dwarfing gene Rht12 can significantly reduce plant height without changing seedling vigor and substantially increase ear fertility in bread wheat (Triticum aestivum. L). However, Rht12 delays heading date and anthesis date, hindering the use of Rht12 in wheat improvement. To promote early flowering of the Rht12 dwarf plants, the photoperiod-insensitive allele Ppd-D1a was introduced through a cross between Jinmai47 (Ppd-D1a) and Karcagi (Rht12). The results showed that Ppd-D1a can rescue the delaying effect of Rht12 on flowering time and promote earlier flowering by 9.0 days (163.2°Cd) in the Rht12 dwarf plants by shortening the late reproduction phase. Plant height was reduced by Rht12 (43.2%) and Ppd-D1a (10.9%), achieving dwarf plants with higher lodging resistance. Ear fertility, like the grain number per spike, was significantly increased by Rht12 (21.3%), while it was reduced by Ppd-D1a (6.5%). However, thousand kernel weight was significantly reduced by Rht12 (12.9%) but significantly increased by Ppd-D1a (16.9%). Finally, plant yield was increased by 16.4 and 8.2%, and harvest index was increased by 24.9 and 15.4% in the Rht12 dwarf lines and tall lines with Ppd-D1a, respectively. Clearly, there was an additive interaction between Rht12 and Ppd-D1 and the introduction of Ppd-D1a advanced the flowering time and improved the yield traits of Rht12 dwarf plants, suggesting that the combination of Rht12 and Ppd-D1a would be conducive to the successful use of Rht12 in wheat breeding programs

Mechanisms of SARS-CoV-2 neutralization by shark variable new antigen receptors elucidated through X-ray crystallography

Acknowledgements This work was supported by the Chief Scientist Office, Scottish Government, Grant COV/ABN/20/01 (Elasmogen, Ltd.), a 2018 Prostate Cancer Foundation Challenge Award (AML), a 2013 Prostate Cancer Foundation Young Investigator Award (AML), NCI R01s CA237272, CA233562, and CA245922 (AML). WEM was supported by the NIH T32 HL007741 and JMT by the NIH T32 AI055433. JSM was funded by NIGMS R01 GM088790. HA was funded by NIGMS R35 GM118047 and NCI P01 CA234228. X-ray diffraction data were collected at the Northeastern Collaborative Access Team beamlines, which are funded by the US National Institutes of Health (NIGMS P30 GM124165). The Pilatus 6M detector on 24-ID-C beamline is funded by a NIH-ORIP HEI grant (S10 RR029205). We thank the Marco Pravetoni lab for providing training and access to the OctetRED96e for BLI experiments.Peer reviewedPublisher PD