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• A multidimensional construct of safety climate is proposed, considering the most salient factors from the literature, and including psychological capital as a new factor. • This research contributes to the literature by being the first empirical research, that incorporates the psychological capital factor as an element affecting safety climate, especially in the construction sector studies. • Accurate methodological description. Descriptive analyses and Partial least squares structural equation modelling (PLS-SEM) were used to assess the quality of the measurement instrument and the hypotheses of the proposed model. • This study proposes and validates a structural model to explain workers' mental and physical health as a function of safety climate, mediated by job satisfaction. • The sample of Spanish construction workers was composed by all random observations contained in the EWCS of all workers in the Spanish sector, totaling 232 workers. • Workers' mental and physical health are influenced by several factors, including, but not limited to, safety climate, work-life balance, and job rewards and compensations. • This study provides some recommendations for construction company managers providing a ranking of all the factors affecting the safety climate and the workers' health. Introduction: The number of physical and mental problems caused by occupational accidents and diseases increases every year. To control them, the safety climate at work is a recognized critical factor. However, a widely applicable model to capture the safety climate for various industries and organizations is lacking. Method: This study proposes a theoretical model to measure the direct and indirect effects of safety climate on workers' physical and mental health, mediated by job satisfaction, in the construction sector. We propose a multidimensional construct of safety climate, considering the most salient factors from the literature, and including psychological capital as a new factor. Using data from the last wave of the European Working Conditions Survey (2015) in Spain, the proposed model was validated using structural equation modeling. Results: Our findings suggest that to further improve the mental health of construction workers, work-life balance and job rewards and compensation must be prioritized along with safety climate. As for physical health, safety climate and work-life balance are crucial. Finally, we provide some recommendations for construction company managers based on a ranking of all the factors affecting the safety climate and the workers' health. [ABSTRACT FROM AUTHOR]

Cross-sectional studies on diffuse idiopathic skeletal hyperostosis have focused on its incidence and related factors. However, the long-term changes caused by the disease remain unclear. This longitudinal cohort study aimed to elucidate the progression of diffuse idiopathic skeletal hyperostosis and its effects on physical function, health-related quality of life, and spinal alignment. We recruited 255 older adults (87 men and 168 women; average age, 71.3 years in 2014) who attended local health checkups in 2014 and 2020. Height, body weight, body mass index, blood pressure, grip strength, functional reach, and bone mineral density were measured. The prevalence, location, number of ossified contiguous vertebrae, and spinopelvic parameters were estimated using whole-spine standing radiographs. For health-related quality of life assessment, the Oswestry disability index and EuroQuol-5D were obtained. We performed a 1:1 case-control study with age and sex-matched patients with and without diffuse idiopathic skeletal hyperostosis and analyzed progression over a 6-year period. In 2014, 39 (15.3%) of 255 patients were diagnosed with diffuse idiopathic skeletal hyperostosis (24 males and 15 females), which occurred more frequently in the elderly and males. In 2020, 12 (4.3%) patients were newly diagnosed with diffuse idiopathic skeletal hyperostosis, and 28 (71.7%) of 39 patients diagnosed in 2014 showed varying degrees of progression. Compared with age- and sex-matched patients without diffuse idiopathic skeletal hyperostosis, patients with the condition had higher body mass index and lumbar bone mineral density, larger sagittal vertical axis, and greater T1-pelvic angle. Changes in physical function and spinal-pelvic parameters during the 6-year period did not differ between the groups. Over a 6-year period, the prevalence of diffuse idiopathic skeletal hyperostosis increased by 4.3%, and it progressed in 71.7% of patients. However, it had little effect on longitudinal physical function, health-related quality of life, and spinopelvic parameters in older adults. [ABSTRACT FROM AUTHOR]

Background: We investigated intramuscular fat (IMF) in quadriceps femoris (QF) and hamstring muscles in the middle-aged women with knee osteoarthritis (KOA). We also examined the relationship between muscular infiltration of QF and hamstring muscles and muscle architecture and physical performance of the women with KOA.Methods: In this cross-sectional study, 72 women were included. Body muscle and fat mass were measured by BIA, isometric muscle strength was evaluated by hand-held dynamometer. IMF and muscle architecture were calculated from rectus femoris (RF), vastus intermedius (VIM), vastus lateralis (VL), vastus medialis (VM), biceps femoris (BF), semitendinosus (ST) and semimembranosus (SM) using B-mode ultrasonography. KOA-related symptoms and functions were assessed with KOOS. The functional performance assessments were evaluated with Stair Climbing Test, 20-Meter Walking Test.Results: Women with KOA had more IMF in RF, VIM, VL, VM and BF, ST, SM muscles compared to the healthy women. Pennation angles decreased as the IMF in the RF, VM, BF and ST decreased. As the IMF of the RF and VM increased isometric knee extensor strength decreased and KOOS symptom score, pain score and ADL score increased in women with KOA. Walking and stair climbing speed deteriorated as the IMF in RF, VIM, VM, BF increased in the middle-aged women. As the IMF in BF increased isometric knee flexor strength decreased and KOOS scores increased. Physical performance scores deteriorated as the IMF in BF increased in middle-aged women with KOA.Conclusion: IMF in QF and hamstring muscles were higher in the middle-aged women with KOA group compared with that in the healthy group. Weakness of the QF and hamstring muscles may due to the changes in architectural properties of muscle depending on muscular infiltration. IMF in knee muscles is an important determining factor in performance and physical function of middle-aged women with KOA. [ABSTRACT FROM AUTHOR]

In people with Parkinson's disease, what is the effect of adding external cueing (ie, visual, auditory or somatosensorial cueing) to walking training compared with walking training alone in terms of walking, mobility, balance, fear of falling and freezing? Are any benefits carried over to participation or maintained beyond the intervention period? Systematic review of randomised trials with meta-analysis. Ambulatory adults with Parkinson's disease. Walking training with external cueing compared with walking training without external cueing. Walking (ie, speed, stride length and cadence), mobility, balance, fear of falling, freezing and participation. Ten trials involving a total of 309 participants were included. The mean PEDro score of the included trials was 5 (range 4 to 8). Walking training with auditory cueing improved walking speed by 0.09 m/s (95% CI 0.02 to 0.15) more than walking training alone. Although the best estimate was that auditory cueing may also improve stride length by 5 cm, this estimate was imprecise (95% CI –2 to 11). The addition of visual cueing to walking training did not improve walking speed or stride length. Results regarding cadence, mobility, balance, fear of falling, and freezing and maintenance of benefits beyond the intervention period remain uncertain. This systematic review provided low-quality evidence that walking training with auditory cueing is more effective than walking training alone for improving walking speed in Parkinson's disease. Cueing is an inexpensive and easy to implement intervention, so the mean estimate might be considered clinically worthwhile, although the confidence interval spans clinically trivial and worthwhile effects. PROSPERO CRD42021255065. [ABSTRACT FROM AUTHOR]

Traditional methods for assessing lower body strength and balance, particularly in older individuals, lack objective and comprehensive analysis. The Up-Down Hop Test is widely used, yet leveraging mobile device sensors, specifically accelerometers and gyroscopes, can enhance the effectiveness of the Up-Down Hop Test by providing an objective evaluation of lower body strength, balance, and neuromuscular control. This study involved attaching mobile devices to participants during the Up-Down Hop Test. Data from the sensors were analyzed to assess patterns of body imbalance and fatigue, focusing on older participants. Integrating mobile sensor data offered insights into the participants' physical performance, revealing specific patterns of imbalance and fatigue. Although traditional assessment methods can observe these patterns, they lack measurability and auditability when evaluating the physical performance of older adults. The experimental results, obtained from analyzing data from mobile device sensors during the Up-Down Hop Test, revealed patterns of imbalance. These findings can be utilized in health monitoring and targeted intervention scenarios, specifically those aimed at enhancing physical performance and preventing injuries. [ABSTRACT FROM AUTHOR]

It is unclear about whether the oral health has impact on physical performance. Therefore, this study aimed to examine the association between oral health and physical performance in 300 military adults in Taiwan. Oral health was assessed by the presence of periodontitis and dental caries. The status of cardiorespiratory and muscular endurance capacity was respectively assessed by tertiles of time for a 3000-m run and 2-min push-up numbers. Multivariable logistic and linear regression analyses with adjustments for age, smoking, alcohol drinking, blood pressure, anthropometric variables, lipid profile, fasting glucose and physical activity were used to determine the association. Participants with periodontitis were more likely to have worse 3000-m running performance classified in the lowest tertile [odds ratio (OR) and 95% confidence interval: 1.94 (1.03, 3.66)]. Participants with any dental caries were more likely to have worse push-ups performance classified in the lowest tertile [OR: 2.50 (1.27, 4.92)]. In linear regression analyses, dental caries numbers were inversely correlated with 2-min push-ups numbers [β = −1.04 (−2.07, −0.01)]. This study suggests that oral health is crucial to maintain physical fitness, and dental caries and periodontitis may affect differently on aerobic and muscular endurance capacities. [ABSTRACT FROM AUTHOR]

Background: Osteoarthritis (OA) can cause disability and reduce quality of life (QoL). Objectives: This study aimed to determine whether GreenShell mussel (GSM) powder (PERNAULTRA) consumption was more effective than placebo at improving physical performance and subjective measures of symptoms and function in adults with early signs of knee OA. Methods: The Researching Osteoarthritis and GSM study was a 6-mo randomized, double-blind, placebo-controlled trial in adults aged 55-80 y, screened for signs of OA (n = 120, 65.9 ± 6.43 y, 63% female). Participants consumed either 3 g of powdered whole GSM or placebo (pea protein) daily. Baseline and end data collection included 30-s chair stand, stair test, 40-m fast-paced walk test, Knee Injury and Osteoarthritis Outcome Score (KOOS) questionnaire categorized into 5 subscales [pain (P), symptoms except pain (S), function in activities of daily living (ADL), function in sports/recreation (SP), and QoL], a measure of Intermittent and Constant Osteoarthritis Pain, and visual analog scale of pain and symptoms. Results: Visual analog scale symptoms showed a significantly greater reduction in percentage change for GSM than that for placebo [-28.1 (-59.2, 43.2) compared with 0.00 (-28.6, 100); P = 0.03]. Further, a trend for improvement in percentage change for GSM compared with placebo was seen in 40m fast-paced walk [2.51 (-3.55, 8.12) compared with 0.20 (-6.58, 4.92); P = 0.09], KOOS-SP [11.4 (-4.48, 27.0) compared with 0.00 (-11.1, 17.7); P = 0.09], and Intermittent and Constant Osteoarthritis Pain intermittent pain scale [-27.7 (-77.3, 0.00) compared with -14.6 (-50.0, 36.4); P = 0.08]. In those with body mass index (BMI; in kg/m²) <25, GSM consumption significantly improved KOOS-S compared with placebo [6.35 (3.49, 12.7) compared with 0.00 (-4.65, 4.49); P = 0.03] and showed a trend for improvement in KOOS-ADL [3.29 (1.01, 8.79) compared with 1.01 (-5.75, 4.30); P = 0.07]. Those with BMI of >25, consuming GSM showed a trend for improvement in KOOS-SP [13.6 (-4.76, 33.3) compared with 0.00 (-12.5, 20.0); P = 0.07]. Conclusions: This research suggests consumption of GSM has potential to alleviate symptoms and improve functionality in OA. [ABSTRACT FROM AUTHOR]

Sharing instead of owning consumer goods should significantly reduce their production and the associated environmental damages. However, this ecological promise has yet to be fulfilled, even in mobility, where sharing practices have become mainstream. This is because the most widespread mobility-sharing practice (free-floating carsharing) has the lowest ecological benefit. This study asks why the adoption of more ecologically beneficial shared mobility practices remains lower, addressing this question through digital ethnography. Using digital mobility diaries for three weeks, 21 respondents documented their mobility practices (including various shared mobility practices and private car travel) by uploading pictures, videos and text notes on a dedicated smartphone application. The data show that free-floating carsharing has proliferated because it can leverage the 'system of automobility' as its users are relatively monomodal. Other shared mobility services function well; however, we found that they have not proliferated as widely because the overall multimodal mobility mix (e.g. walking, cycling, public transport, on-demand sharing) associated with this form of shared mobility is highly demanding. Better conditions for multimodal mobility, created through appropriate infrastructure, are crucial for sustainable shared mobility practices to spread. However, space limitations mean this will likely come at the expense of car-centred infrastructure and necessitate its exnovation. [ABSTRACT FROM AUTHOR]

In this work, the synergistic effect of polyaniline (PANI) and Ce cations was utilized to develop a graphene oxide (GO) electrophoretic deposition (EPD) green epoxy (EP) coating with a physical barrier and corrosion inhibition. PANI and Ce cation not only form a protective layer with inhibition but also convert the negative charge of GO to a positive charge, thus satisfying the conditions of cathodic electrophoretic deposition (C -EPD). Anti-corrosion test results showed that the GO/PANI/Ce(NO 3) 3 (GPC)/EP composite coating has the highest impedance, with the impedance modulus at day 35 three orders of magnitude higher than that of the neat EP coating. The passivation film generated by the GPC inhibits large corrosion extensions; it produces a significant self-healing effect, as evidenced by the corrosion morphology, the XPS analysis, and the stable value of the impedance modulus. This work provides a new strategy for manufacturing high-performance electrophoretic epoxy coatings with self-healing properties. [Display omitted] [ABSTRACT FROM AUTHOR]

Silicon Physical unclonable functions (PUFs) are regarded as emerging hardware security primitives that can be used for generating secret keys for cryptographic algorithms. Unfortunately, the reliability issues greatly limit the applications of most PUFs since ambient noises and aging issues may alter the output responses of the PUFs. In this paper, a novel error calibration technique (ECT) based on average sampling circuit (ASC) and self-checking circuit (SCC) is proposed for significantly boosting the reliability of PUFs. The primary role of ASC is filtering the ambient noises that may affect the output responses of the PUFs. In contrast, SCC rehabilitates the PUFs once aging issues damage the process mismatches within the PUFs. As shown in the result, a PUF with the proposed ECT is able to achieve a 99% reliability with a 50 Mbps throughput. • Regular PUFs have poor reliability issues due to the effects of ambient noises and aging issues. • Error calibration technique (ECT) is able to the improve the corresponding reliability significantly by filtering critical noises. • An ECT-based PUF offers a high throughput without causing much area overhead. [ABSTRACT FROM AUTHOR]

This systematic review aims to explore the impact of age on physical functioning post-treatment for early-stage, locally advanced, or locally recurrent breast cancer, as measured by patient-reported outcome measures (PROMs), identify PROMs used and variations in physical functioning terms/labels. MEDLINE, EmBase, PsycINFO, CINAHL and AMED were searched, along with relevant key journals and reference lists. Risk of bias (quality) assessment was conducted using a Critical Appraisal Skills Programme checklist. Data was synthesised through tables and narrative. 28,207 titles were extracted from electronic databases, resulting in 44 studies with age sub-groups, and 120 without age sub-groups. Of those with findings on the impact of age, there was variability in the way findings were reported and 21 % found that age did not have a significant impact. However, 66 % of the studies found that with older age, physical functioning declined post-treatment. Comorbidities were associated with physical functioning declines. However, findings from sub-groups (breast cancer stage, treatment type and time post-treatment) lacked concordance. Twenty-eight types of PROM were used: the EORTC QLQ-C30 was most common (50.6 %), followed by the SF-36 (32.3 %). There were 145 terms/labels for physical functioning: 'physical functioning/function' was used most often (82.3 %). Findings point towards an older age and comorbidities being associated with more physical functioning declines. However, it was not possible to determine if stage, treatment type and time since treatment had any influence. More consistent use of the terminology 'physical functioning/function' would aid future comparisons of study results. • Findings point towards physical functioning declining with older age post-treatment. • 28 types of PROM were used: with the EORTC QLQ-C30 being used most often, followed by the SF-36. • Despite 145 different terms/labels, 'physical functioning/function' was most common. [ABSTRACT FROM AUTHOR]

China is on the brink of transitioning into an aged society, resulting in a growing demand for an age-friendly street-built environment. However, previous research has paid limited attention to the differentiated walking needs of older adults. To address this gap, this study investigated the relationship between street-built environments and the subjective perception of older adults with different physical capabilities, focusing on safety, comfort, and interest. The older adults were classified into three types based on their physical mobility abilities. The TrueSkill algorithm was used to develop an online image selection website to obtain perception scores for sampled pictures from these three types of older adults. Image segmentation and deep learning were combined to extract indices of street view factors, and machine learning was used to train a scoring prediction model for all streetscape pictures of the area. The study found differences in the subjective perception among all three types of older adults, namely independent elderly (A), mediated-assisted elderly (B), and dependent elderly (C). Type A older adults might be attracted to factors related to the interest of walking despite their negative impact on safety and comfort; Type B older adults were more concerned about street conditions for safety and comfort. Type C older adults were prone to the convenience of barrier-free access and visibility. This study contributes to the study of walkability by providing a research framework for the subjective walking perceptions of older adults with different physical capabilities. Additionally, the visualized walkability map can serve as a reference for architects and urban designers, further strengthening the development of age-friendly communities with the aid of human-centric computational analysis, evaluation, and design. • Refines walkability research for older adults by categorizing and studying them based on walking abilities, showing differences by physical conditions. • Explores the relationship between subjective perceptions and the objective built environment, focusing on long-established communities. • Uncovers implicit needs and tendencies using picture selection and the TrueSkill rating method. • Uses pedestrian-perspective street view images instead of the commonly used vehicular-perspective images for research. [ABSTRACT FROM AUTHOR]

[Display omitted] • Isovolume maneuver (IVM) trial for regulating respiratory is effective in improving physical activity performance. • After IVM, the breathing rate, heart rate and the use of abdominal breathing during physical activity can be more stable. • The instantaneous phase difference of thoracoabdominal movement can identify breathing patterns during physical activity. (1) Objective: We performed a step test to investigate whether isovolume maneuver (IVM) trial is effective in improving cardiorespiratory fitness; (2) Methods: The experiment involved two consecutive step tests in which the IVM was employed between the two tests. The heart rate (HR), breathing rate (BR), instantaneous phase difference (IPD) of thoracoabdominal movement, and physical fitness index (PFI) of the participants were analyzed. We also obtained data on the ascending rate of HR (HR asc), the rate relative to the baseline HR during recovery, and the scores for a modified PFI (mPFI) based on the baseline PFI; (3) Results: We recruited 27 sedentary and healthy college students as participants. The results from the second step-test were compared with the first step-test. The participants' mean HR asc decreased by 30.66 % ± 32.52 %, their mean BR decreased by 13.08 % ± 31.90 %, their mean mPFI increased by 30.78 % ± 38.94 %, and their mean IPD increased by 15.31 % ± 28.44 %; (4) Conclusions: IVM reduced the participants' BR and HR asc and increased their mPFI and IPD. These findings verify that IVM can effectively improve physical activity performance. Furthermore, an IPD of 39° for implementation of abdominal breathing during exercise is a key threshold that warrants further research. [ABSTRACT FROM AUTHOR]

We report important progress in the preparation and development of gas-responsive fluorescent materials with potential as efficient anticancer treatments and fluorescent probes for biomedical imaging. An environmental stimuli-responsive multifunctional material (ESMM) composed of rhodamine 6 G containing a pH-sensitive spirolactam unit and a self-complementary multiple hydrogen-bonded adenine group was successfully synthesized through a simple and efficient two-step synthetic pathway. ESMM has extremely poor water solubility, even in a weakly acidic aqueous environment, but can easily dissolve in common organic solvents. Due to the unique polar heteroaromatic structure of the adenine group that confers chemical reactivity (or responsiveness) with CO 2 , hydrophobic ESMM can rapidly and completely dissolve in water on simple CO 2 bubbling treatment, which is followed by formation of self-assembled spherical-like nanoparticles. The resulting nanoparticles demonstrate unique spontaneous fluorescent characteristics in water and their photophysical properties, surface charge, acid-base characteristics, and self-assembled morphology can be quickly and stably switched on and off by alternating cycles of CO 2 and N 2 bubbling, to thus effectively manipulate their physical performance. Importantly, in vitro cell assays clearly indicated that protonation of the adenine group by CO 2 remarkably enhances the anti-hemolytic properties of ESMM and results in highly potent and selective cytotoxicity against cancer cells at low doses, but not in normal cells. In contrast, pristine ESMM did not exhibit selective cytotoxic effect on normal or cancer cells. Therefore, this newly discovered CO 2 -responsive system may have a great potential to improve the safety and effectiveness of chemotherapeutic drugs. [Display omitted] • Multifunctional adenine-containing rhodamine 6 G (AR) was developed. • AR spontaneously self-assembles into nanoparticles on CO 2 bubbling. • CO 2 -protonated AR has low hemolytic activity towards red blood cells. • CO 2 -treated AR exhibits highly selective cytotoxicity in cancer cells. • This new system holds potential for safer, more efficient chemotherapy. [ABSTRACT FROM AUTHOR]

The challenge of ensuring compliant behavior in aerial manipulators during physical interactions is addressed in this study. This work presents a coordinated interactive framework for aerial manipulators, specifically designed to ensure compliant physical interactions during contact with the surroundings. Without the reliance on force sensors, an external force estimator is employed to recognize interaction intentions. The coordinated framework leverages a Model Predictive Control (MPC) planner equipped with adaptive weights, facilitating the coordination of movements for both the quadrotor and manipulator. The adaptive adjustment of weights in the cost function allows for the attainment of diverse interaction behaviors in response to unexpected external forces. Notably, the methodology stands out from current control strategies by incorporating autonomous stiffness adjustment in response to interaction forces, thereby optimizing the delicate balance between safety and precision. The passivity of the system is guaranteed by using a Lyapunov-like function during the physical interaction. The effectiveness of the proposed framework is validated by experiments for the scenario of human operator and aerial manipulator collaborative work. [ABSTRACT FROM AUTHOR]

Self-healing mechanism of SBS modified bitumen based on dynamic acylhydrazone bonds. [Display omitted] • A self-healing agent with acylhydrazone bond was synthesized. • The introduction of acylhydrazone bonds significantly improved the crack self-healing performance of SBS modified bitumen. • The effect of acylhydrazone self-healing agent on the properties of SBS modified bitumen was investigated. Styrene-butadiene-styrene triblock copolymer (SBS) modified bitumen (SMB) with excellent self-healing performance not only saves resources, but is also important for the sustainable development of pavement and construction industry. In this paper, a self-healing agent (SHA) with acylhydrazone bond was synthesized, and the dynamic acylhydrazone bond was introduced into the SBS molecular chains to prepare the self-healing SMB (SHMB). The structure of SHA was characterized, and the physical properties, chemical structure, microstructure and self-healing performance of the SHMB were investigated. Fourier transform infrared (FTIR) spectra and nuclear magnetic resonance spectra demonstrated that SHA was successfully synthesized. The physical performances of SMB were significantly improved by SHA and its optimal dosage was 0.6 %. FTIR indicated that the dynamic acylhydrazone bond was introduced into the SBS molecular chains, and formed hydrogen bonds in SHMB. The fluorescence microscope showed that SHMB had a denser network structure than SMB. The crack healing observation indicated that the crack healing speed of SHMB was much higher than that of SMB. The break tensile performance recovery showed that the recovery rate of elongation at break (R ε) of SMB and SHMB were 14.38 % and 58.27 % after self-healing at 25℃ for 32 h, and the R ε of SMB and SHMB was elevated to 50.12 % and 92.58 % after self-healing at 40℃ for 4 h, which indicated that the introduction of dynamic acylhydrazone bonds greatly enhanced the self-healing ability of SHMB. [ABSTRACT FROM AUTHOR]

• We develop a novel chemical method for the surface encapsulation of hydrogel with elastic coating that can prevent hydrogel from de/hydration in air and water. • Our mothed shows multiple applicability, which is applicable not only for flat surface of hydrogels, but also various irregular shapes including tubes, spheres, and wrinkles of hydrogels. • Our mothed can improve the functionality of hydrogel sensors, making them capable of long-term sensitivity in both air and water systems. De/hydration is unavoidable for unencapsulated hydrogels, which would weaken their physical performance during applications. Herein, we report a surface-encapsulating method that can chemically make an elastic coating at the surface of hydrogel to prevent it from de/hydration in air and water. The water loss is less than 6 wt% in weight by keeping the surface-encapsulated hydrogel in air at 28 °C for 20 days, and its weight doesn't increase by immersing it in water for 60 days. The adhesion energy between hydrogel and the coating reaches 2000 J/m2, so that it can keep the structural integrity in response to repeated stretching, compression, bending, twisting, and knotting. This method doesn't require any templates and special devices, which can make surface encapsulation for hydrogels that have irregular shapes such as tubes, spheres, and wrinkles. The encapsulated elastic coating is of long-term (180 days) stability without interfacial failure in air, and in acidic, alkaline, and salt solutions, which enables the hydrogel capable of long-term sensitivity as a strain sensor in air and water systems, showing great potential for signal transmission under water. [ABSTRACT FROM AUTHOR]

Perception of the full state is an essential technology to support the monitoring, analysis, and design of physical systems, one of whose challenges is to recover global field from sparse observations. Well-known for brilliant approximation ability, deep neural networks have been attractive to data-driven heat and flow field reconstruction studies for practical systems. However, limited by network structure, existing researches mostly learn the reconstruction mapping in finite-dimensional space that usually has poor transferability to the variable resolution of outputs. This paper extends the new paradigm of neural operators and proposes an end-to-end physical field reconstruction method with both excellent performance and mesh transferability named RecFNO. The proposed method aims to learn the mapping from sparse observations to flow and heat fields in infinite-dimensional space, contributing to a more powerful nonlinear fitting capacity and resolution-invariant characteristic. According to different usage scenarios, three types of embeddings are first developed to model the sparse observation inputs: MLP, mask, and Voronoi embedding. The MLP embedding is propitious to more sparse input, while the others benefit from spatial information preservation and perform better with the increase of observation data. Then, stacked Fourier layers are adopted to reconstruct physical field in Fourier space that regularizes the overall recovered field by Fourier modes superposition. Benefiting from the operator in infinite-dimensional space, the proposed method obtains remarkable accuracy and better resolution transferability among meshes. The experiments conducted on fluid mechanics and thermology problems show that the proposed method outperforms existing POD-based and CNN-based methods in most cases and has the capacity to achieve zero-shot super-resolution. • A resolution-invariant temperature and flow field reconstruction method named RecFNO is proposed. • Three types of embeddings for sparse observation are developed. • RecFNO can reconstruct the physical field in function space with excellent performance and resolution transferability. • The validity of the method is confirmed in numerical experiments and practical cases. [ABSTRACT FROM AUTHOR]

Autonomic nervous system (ANS) disorders may occur in skeletal muscle disease, but the link between them has not been fully established. Studying the relationship between them may yield insights into the mechanisms and treatment of disease. This study aimed to explore the association between heart rate variability (HRV), sarcopenia, and subscales of sarcopenia (muscle mass, muscle strength, and physical mobility). 2514 community-dwelling older Chinese participants were included in this study. The Asian Working Group for Sarcopenia guidelines were used to define sarcopenia. HRV was measured by 90-s electrocardiogram RR interval data. All HRV parameters were transformed using natural logarithms. Multiple regression analysis and multivariate linear regression was performed using potential correlates. The overall prevalence of sarcopenia was 15.1 % (18.5 % in males and 12.6 % in females). In the logistic regression analysis model, there was a significant association between log-transformed standard deviation of RR interval (lnSDNN) (OR = 0.736, p = 0.019), log-transformed coefficient of variation of RR intervals (lnCVRR) (OR = 0.751, p = 0.020), log-transformed low-frequency power (lnLF) (OR = 0.861, p = 0.008), log-transformed high-frequency power (lnHF) (OR = 0.864, p = 0.003) and sarcopenia in the general population after adjusting for age, sex, body mass index (BMI), daily activity levels, hypertension, heart disease and cardiac drugs. In addition, in multivariate linear regression, lnSDNN (β = 0.146, p = 0.001), lnCVRR (β = 0.120, p = 0.010), lnLF (β = 0.066, p = 0.002) and lnHF (β = 0.065, p < 0.001) remained significantly positively associated with muscle mass, but there were no significant differences in grip strength and walking speed. Sarcopenia was independently associated with lower heart rate variability in a community-dwelling elderly Chinese population. In addition, muscle mass was positively associated with heart rate variability in the elderly. [ABSTRACT FROM AUTHOR]

The 3D reconstruction is generally defined as the process of capturing the shape and appearance of real objects. By reconstructing 3D digital model from a series of 2D slices, it brings considerable convenience to visualize internal structure and decipher structure-property relation of a material. Nowadays, the 3D reconstruction is becoming a cutting-edge technique in depicting the internal structure and evaluating the physical performance of targeted materials. Recent years, generative machine learning methods, such as generative adversarial networks (GAN), have achieved tremendous success in AI-generated physical content (AIGPC). However, lots of technical challenges remain, including oversimplified models, oversized dataset requirement and inefficient convergence. These difficulties are caused by the insufficient ability to capture detailed features and the inadequacy of the generated model quality. To this end, a novel generative model is developed, which combines the multiscale features of U-net and the synthesis ability of GANs. With the help of the multiscale channel aggregation module, the hierarchical feature aggregation module and the convolutional block attention module, our model is developed to capture the features of the material microstructure better. The loss function is refined by combining the image regularization loss with the Wasserstein distance loss. In addition, the anisotropy index is adopted to measure anisotropic degree of selected samples quantitively. The results demonstrate that the 3D structures generated by the proposed model retain high fidelity with ground truth samples. With remarkable performance, the proposed model not only overtakes traditional GAN, but will shed a brilliant light on AIGPC and physical 3D reconstruction. [Display omitted] [ABSTRACT FROM AUTHOR]

Estimating the illuminant from a color-biased image is an ill-posed problem without prior information or invariance about the surfaces of a scene. Based on the classical image formation model, we have developed a heuristic approach to obtain the illuminant color by computing the ratio of the average of all pixels over the color-biased scene to that over the roughly recovered scene obtained by local normalization in each channel. The computed ratio represents an estimated invariance across color channels (IACC), ranging between the average reflectance of surfaces and the maximum reflectance of surfaces of a scene, modulated by the illuminant color. This work builds a mathematical foundation for IACC and explains why it is suitable for illuminant estimation. The core discovery is that the magnitude relationship of the average reflectances of surfaces between any two color channels is opposite to that of the maximum reflectances of surfaces for most natural scenes. As a result, we have designed two approaches for explicitly learning IACC of an image, resulting in very accurate illuminant estimation. The first approach involves a novel shallow model based on diagonal or non-diagonal matrices, together with the learned model parameters, to improve IACC performance. The second approach applies IACC as a constraint to optimize a novel deep learning approach, which has achieved state-of-the-art performance on two benchmarks. An interesting finding is that the output of the learned network, constrained only by IACC loss, provides a coarse estimation of intrinsic images such as albedo from the input color-biased image. • Biologically inspired image invariance (IACC) with mathematical basis is developed. • IACC guided shallow illuminant estimation (IE) model obtains competitive performance. • IACC guided deep IE obtains SOTA performance and learns physical albedo. [ABSTRACT FROM AUTHOR]

River recovery is defined as the trajectory of change that a reach takes towards an improved condition. In geomorphic terms, this includes improvement in both the physical structure and function of a river. While there are numerous case studies that track river recovery at the reach scale, there is a lack of work that characterises the patterns of recovery across diverse river types. Here we use ergodic reasoning to quantitatively analyse changes in the assemblage of geomorphic units (GUs) that occur for rivers that are known to be at different stages of geomorphic recovery. We aim to understand how the physical structure of different river types change as recovery occurs. In this study, we adopted a semi-automated method to map GUs using Open Access LiDAR and Sentinel remote sensing imagery. We analyse the assemblage of GUs for 78 river sections that span eight river styles, three valley settings and two bed material textures – sand and gravel. We find that the patterns of river recovery vary for different river styles. Confined and laterally unconfined rivers exhibit linear and non-linear increases in richness, abundance, evenness, and diversity of GUs during recovery. Partly confined rivers show more variable trends for these measures, and channelised fill rivers show decreased diversity. During recovery, sand bed rivers are more susceptible to adjustment than gravel bed rivers. The presence of benches and islands indicates that recovery is underway across most river types. A statistically significant increase in abundance and area of benches and pools, and a decrease in abundance and area of floodplain steps can also be used to indicate that recovery is underway. Additionally, in early stages of recovery, adjustments take place at the unit level. Then as recovery progresses, adjustments tend to occur at the sub-unit level as evidenced by bank-attached bars becoming more compound in structure. Determining the indicator GUs and changes in assemblages to 'look out for' while in the field or on remote sensing images can aid the detection and analysis of river recovery, providing invaluable insight for process-based and recovery-enhancement approaches to river management. [Display omitted] • Patterns of geomorphic recovery vary across different river styles. • Different mixes of metrics can be used to track geomorphic river recovery. • Recovery is not always linear and morphology does not always become more complex. • Changes in assemblages of units and some individual units can detect recovery. [ABSTRACT FROM AUTHOR]

The main challenge in the analysis of unconfined seepage flow is that the position of free surfaces is unknown a priori , which needs to be determined through a series of iterative processes. The numerical manifold method (NMM) is a promising method which uses a dual cover system consisting of both mathematical and physical covers. Compared with those traditional methods, NMM is characterized by meshing convenience, approximation accuracy, and being capable of coping with free boundary value problems. Unlike the traditional NMM where the material interface participates in cutting the mathematical cover while forming the physical cover, the physical patches in this study can contain the material interface. The new weight functions for such physical patches are constructed using the refraction law, followed by the application to the analysis of unconfined seepage flow problems. By comparing with analytical or reference solutions of some classic examples, it is validated that the proposed method can accurately locate the free surface, demonstrating its accuracy and convenience in solving unconfined seepage problems. [ABSTRACT FROM AUTHOR]

Chrome tanning system has been faced with great challenges from potential environmental and human health risks and environmental pressures in the leather industry. The development of chrome-free tanning system towards eco-friendly leather manufacture is the main strategy to solve them from the source. However, appropriate assessments of the physical and environmental properties of a new tanning process remain challenging. In this work, we compared the physical performances and environmental impacts of two nanosilicates-based chrome-free combination tanning systems with conventional chrome tanning system in practical fur leather processing. The objective of this study was to obtain comprehensive insights into the nanosilicates-based chrome-free combination tanning systems from both technical and environmental perspectives. All fur leathers possessed similar and integrated fleece structures, ensuring high glossy and flexibility of final fur leather articles. Tara tannin-Zeolite (TA-ZE) combination tanning system was chosen as the most promising one for manufacturing garment leather articles. The resultant leathers were endowed with favorable physical properties (e.g., tear strength of 15.9 N, elongation at break of 42.3%, shrinkage temperature of 98.6 °C) and no restricted Cr(VI) and free formaldehyde. Life cycle assessment (LCA) results revealed that the TA-ZE combination tanning system exhibited better environmental impacts than other options. The main novelties included the contribution to avoiding the use of high-risk tanning chemicals by presenting a better technical and environmental alternative in the leather processing and the application of LCA to environmentally evaluate the leather processing. We envision these findings can offer comprehensive insights into emergent chrome-free combination tanning systems for designing and rationalizing feasible fur leather processing towards eco-friendly leather manufacture. [Display omitted] • Physical performances and environmental impacts of fur leather manufacture were compared. • TA-ZE tanning system produced the fur leathers with more favorable technical properties. • TA-ZE combination tanning system exhibited better environmental results. • LCA was needed to assure that chrome free tanning alternatives were environmentally better. [ABSTRACT FROM AUTHOR]

This paper investigates the impacts of weather shocks on athlete performance, focusing on soccer players in the Chinese Soccer Super League over three consecutive seasons from 2014 to 2016. Utilizing daily meteorological data, we construct the temperature and precipitation bin variables to explore the marginal effects on the physical and cognitive performance of soccer players. The empirical findings document a sizeable impact of high temperatures and heavy precipitation on players' performance indicators, including physical performance and cognitive performance. Specifically, relative to conditions with temperatures below 15 °C, the total running distances, the number of passes, and the number of fouls for soccer players significantly decrease by 7.6%, 6.0%, and 23.1%, respectively, when temperatures exceed 30 °C. The results for precipitation bins show that relative to conditions with precipitation below 0.1 mm, the total running distances, the number of passes, and the number of fouls for soccer players significantly decrease by 1.2%, 8.2%, and 4.7%, respectively, when precipitation exceeds 50 mm. Moreover, the heterogeneity analysis reveals that the negative effects of high temperatures and heavy precipitation are more pronounced and significant for older players, for matches performed away from home, and for matches performed in areas with higher temperatures or more precipitation. Evidence of player adaptations suggests that players from regions with higher temperatures or more precipitation perform better in terms of physical and cognitive abilities when playing in areas with lower temperatures or less precipitation compared to players from regions with lower temperatures or less precipitation when they compete in areas with higher temperatures or more precipitation. Finally, policy suggestions are proposed to mitigate the impact of weather shocks on soccer players and to promote the sustainability of the soccer industry. [ABSTRACT FROM AUTHOR]

The concrete industry has been responsible for significant depletion of natural resources and at end-of-life significantly contributes to global waste production. To date experimental studies have typically explored the use of single generation recycled aggregates (RA) in concrete production, however, to move towards a circular economy the concrete industry needs to embrace the use of multi-generation recycled aggregate concrete (MGRAC). In this paper the physical and mechanical performance of 45 concrete mix designs over 4 generations of concrete production is explored. At each generation a series of mixes are conducted at various water to cement ratios (w/c) and with a range of blends of virgin and recycled aggregates from differing generations to capture the impact on material properties. The physical and mechanical properties are quantified for both the aggregates and the concretes at each generation. The results show that the physical properties and some mechanical properties of the concrete and RA decrease with respect to virgin aggregate concrete and virgin aggregate but, implementing a 50% replacement of VA can slow down intergenerational degradation. Furthermore, the blending RA from a range of generations can also slow intergenerational degradation but to a lesser extent. Effective aggregate properties are determined, and direct relationships confirmed indicating potential for informed mix design based on an understanding of a few simple aggregate properties. [ABSTRACT FROM AUTHOR]

Integrated computational materials engineering (ICME) has significantly enhanced the systemic analysis of the relationship between microstructure and material properties, paving the way for developing high-performance materials. However, analyzing microstructure-sensitive material behavior remains challenging due to the scarcity of three-dimensional (3D) microstructure datasets. Moreover, this challenge is intensified if the microstructure is anisotropic, as this also results in anisotropic material properties. This paper presents a framework for reconstructing anisotropic microstructures solely based on two-dimensional (2D) micrographs using conditional diffusion-based generative models (DGMs). The proposed framework involves the spatial connection of multiple 2D conditional DGMs, each trained to generate 2D microstructure samples for three orthogonal planes. The connected multiple reverse diffusion processes then enable effective modeling of a Markov chain for transforming noise into a 3D microstructure sample. Furthermore, a modified harmonized sampling enhances the sample quality while preserving the spatial connection between the slices of anisotropic microstructure samples in 3D space. The 2D-to-3D reconstructed anisotropic microstructure samples are evaluated regarding the spatial correlation function and the physical material behavior to validate the proposed framework. The results demonstrate that the framework can reproduce the statistical distribution of material phases and properties in 3D space. It highlights the potential application of the proposed 2D-to-3D reconstruction framework in establishing microstructure-property linkages, which could aid high-throughput material design for future studies. [ABSTRACT FROM AUTHOR]

Assistive product (AP) aims to provide supplementary treatment for patients' physical function and daily activities to improve their functional status. One challenge in the AP design is prioritizing design requirements (DRs) based on patient requirements (PRs) involving diverse and variable interaction behaviors. This work developed and applied a quality function deployment method based on the spherical fuzzy bipartite graph (SFBG-QFD) to comprehensively consider the dependency relationship between PRs and DRs during AP design. Specifically, a spherical fuzzy bipartite graph is constructed in the PR-DR relationship matrix. The projection algorithm generates the one-mode spherical fuzzy graphs of PRs and DRs, reflecting the internal relationship of PR-PR and DR-DR pairs. Subsequently, the interaction influence of PRs and DRs is defined as an additional criterion for the QFD method. Through the SFBG-QFD method, designers can better consider the uncertainty of interaction between different types of requirements and make more reliable decisions. The effectiveness of the proposed method is verified through the AP design for pneumoconiosis patients, and the stability and potential of the proposed method are emphasized through comparative studies. [ABSTRACT FROM AUTHOR]

Serious games have emerged as promising tools for physiotherapy, offering an engaging way to motivate patients and improve physical functions. Stress, a common physiological response, can impede patient performance and hinder recovery in physiotherapy. However, there is limited research on stress recognition for children during physiotherapeutic serious games. This study proposes a deep and machine learning based method for stress detection from facial images of children. The contributions include the utilization of a novel dataset comprising videos of 25 children, including children with specific conditions, and the exploration of using adults' facial images for data augmentation. The proposed method employs a modified deep network architecture, VGG-Face, for facial emotion recognition and utilizes three machine learning models for stress recognition. This study represents the first attempt to recognize stress in children's facial images during physiotherapy with serious games. The findings hold the potential to optimize patient outcomes and contribute to monitoring patients during home therapy. • Emotion/Stress recognition in children during physiotherapeutic games. • First attempt to recognize stress from children's facial images. • Usage of a novel dataset of 25 children including children with specific conditions. [ABSTRACT FROM AUTHOR]

Most products today have several functions, but these are achieved by integrating different monofunctional devices and/or materials in a system. Having several functions simultaneously in one single material has many potential advantages, such as a structural material that can also store energy, have self-sensing or self-healing capability or any other physical function. This would lead mass and resource savings, being more energy efficient and thus more sustainable. This paper presents a mini review on how carbon fibres can be used for integrating several functions simultaneously in a high-performance load carrying structural material using the electrical and electrochemical properties of carbon fibres. Through this carbon fibre composites can also store energy like a lithium-ion battery, be used as a strain sensor, have electrically controlled actuation and shape-morphing, and be used as an energy harvester. [ABSTRACT FROM AUTHOR]

In this study, an enhanced numerical manifold method (NMM) simulator is developed to determine the combined impacts of reinforcement range and grouting timing on the effectiveness of grouting reinforcement for preventing the large deformation geo-hazard during the tunnel excavation through a fault rupture zone. To accomplish this objective, the limitations of the current two-dimensional simulation method, which lacks connection to the actual tunnel excavation process, are overcome by proposing a novel softening path function. Using this novel softening path function, each simulation step is given a specific physical meaning, establishing a connection to the actual tunnel excavation process. This improvement enables more accurate and analyzable simulation outcomes. To verify the accuracy of the proposed softening path function, a series of simulations of tunnel excavation are conducted using this softening path function. These results align closely with the results obtained by other reliable numerical methods and previous studies. After validation, several sets of numerical cases are conducted, considering 6 different geo-stress conditions, 10 different grouting reinforcement ranges, and 7 different grouting timings. Based on these simulation results, a critical value for reinforcement range, which equals to the diameter of tunnel face, is identified, and it is founded that delaying the grouting timing can increase the slurry migration range up to 94.6%. Furthermore, delaying the grouting timing can also reduce the convergence displacement of reinforced surrounding rocks after excavation up to 18.2% within a geo-stress range of 10 to 20 MPa. • A novel softening path function with clear physical meanings for tunnel excavation simulations is proposed. • A critical value of the grouting reinforcement range is identified. • Influences of grouting timing on the slurry migration range are revealed. • Influences of grouting timing on the convergence displacement of tunnels are revealed. [ABSTRACT FROM AUTHOR]

• We propose a wind tunnel-based method to comprehensively evaluate the performance of bioaerosol samplers at 2, 8, and 20 km/h. • Performance of bioaerosol samplers was evaluated based on several parameters. • SASS 2300 and BSA-350 are appropriate choices for qualitative analysis and isolation of microorganisms from ambient air. • Polycarbonate and gelatin filters are recommended for long-term sampling and quantitative analyses of bioaerosols without microbial viability requirements. • AGI-30 and BioSampler are suitable for short-term sampling and quantitative analyses of bioaerosols in laboratory environments. Choosing a suitable bioaerosol sampler for atmospheric microbial monitoring has been a challenge to researchers interested in environmental microbiology, especially during a pandemic. However, a comprehensive and integrated evaluation method to fully assess bioaerosol sampler performance is still lacking. Herein, we constructed a customized wind tunnel operated at 2–20 km/h wind speed to systematically and efficiently evaluate the performance of six frequently used samplers, where various aerosols, including Arizona test dust, bacterial spores, gram-positive and gram-negative bacteria, phages, and viruses, were generated. After 10 or 60 min of sampling, the physical and biological sampling efficiency and short or long-term sampling capabilities were determined by performing aerodynamic particle size analysis, live microbial culturing, and a qPCR assay. The results showed that AGI-30 and BioSampler impingers have good physical and biological sampling efficiencies for short-term sampling. However, their ability to capture aerosols at low concentrations is restricted. SASS 2300 and BSA-350 wet-wall cyclones had excellent enrichment ratios and high microbial cultivability in both short-term and long-term sampling; however, they were not suitable for quantitative studies of aerosols. Polycarbonate filter samplers showed outstanding performance in physical and long-term sampling but lacked the ability to maintain microbial activity, which can be improved by gelatin filter samplers. However, limitations remain for some fragile microorganisms, such as E. coli phage PhiX174 and coronavirus GX_P2V. In addition, the effects of wind speed and direction should be considered when sampling particles larger than 4 µm. This study provides an improved strategy and guidance for the characterization and selection of a bioaerosol sampler for better measurement and interpretation of collected ambient bioaerosols. [ABSTRACT FROM AUTHOR]

To dispose of the construction spoil (CS) sustainably, using alkali-activated slag (AAS) to solidify CS and prepare solidified construction spoil (SCS) as building materials has great potential. The effects of alkali concentration (Na 2 O%), modulus, binder-soil ratio (B/S), liquid-solid ratio, and sand content on the fluidity, compressive strength, water resistance, and carbon emission factor of SCS were studied via orthogonal experimental methods. It was found that the increasing fluidity was mainly affected by the increasing sand content and liquid-solid ratio, and the increasing compressive strength, water resistance, and carbon emission factor were mainly affected by the increasing Na 2 O% and B/S. Compared with cement, using AAS can reach higher fluidity, compressive strength, and water resistance, and lower carbon emissions of SCS. Finally, considering the influence of sand content on the properties of SCS, the sand washing decisions during the disposal process were reevaluated via life cycle assessment (LCA). Compared to transportation and landfill, preparing SCS with or without washing sand can significantly reduce equivalent carbon emissions, and the latter can result in lower equivalent carbon emissions and better working and physical performance of SCS than the former. From practical engineering considerations, it was suggested that the CS with low sand content doesn't need to wash sand. [ABSTRACT FROM AUTHOR]