Impact of seasonal changes and environmental conditions on suspended and inhalable microplastics in urban air.

Microplastics (MPs) are ubiquitous environmental pollutants extensively detected in atmospheric environments. Airborne MPs have raised concerns due to their transport and potential health risks of inhalation exposure. However, the factors influencing airborne MPs, particularly their concentrations and shapes suspended in urban air, remain unclear. We investigated MPs in total suspension particles with one-year measurements in Taipei City and identified their features using Nile Red staining combined with fluorescence microscopy and micro-Fourier transform infrared (µFTIR) spectroscopy. This study quantified the mean number concentration of total MPs as approximately 6.0 #/m³. We observed that MP abundance varied seasonally, with higher levels in the warm season than in the cold. A similar trend was noted for polymer types. Fragment-like MPs were the predominant shape, mainly found in polystyrene (PS), polyethylene (PE), and polypropylene (PP), while fibrous MPs, detected mostly as polyethylene terephthalate (PET) and polyamide (PA), were primarily observed at sizes greater than 300 µm. Both fiber and fragment-like MPs were positively associated with particle mass concentration, temperature, ultraviolet (UV) index, and wind speed, but negatively correlated with relative humidity and rainfall. Fibrous MPs were more affected by environmental factors than fragment-like MPs. Meteorological changes significantly influenced suspended MPs more than human activity within the city.

Label-Free Biosensor Based on Particle Plasmon Resonance Coupled with Diffraction Grating Waveguide.

Particle plasmon resonance (PPR), or localized surface plasmon resonance (LSPR), utilizes intrinsic resonance in metal nanoparticles for sensor fabrication. While diffraction grating waveguides monitor bioaffinity adsorption with out-of-plane illumination, integrating them with PPR for biomolecular detection schemes remains underexplored. This study introduces a label-free biosensing platform integrating PPR with a diffraction grating waveguide. Gold nanoparticles are immobilized on a glass slide in contact with a sample, while a UV-assisted embossed diffraction grating is positioned opposite. The setup utilizes diffraction in reflection to detect changes in the environment's refractive index, indicating biomolecular binding at the gold nanoparticle surface. The positional shift of the diffracted beam, measured with varying refractive indices of sucrose solutions, shows a sensitivity of 0.97 mm/RIU at 8 cm from a position-sensitive detector, highlighting enhanced sensitivity due to PPR-diffraction coupling near the gold nanoparticle surface. Furthermore, the sensor achieved a resolution of 3.1 × 10-4 refractive index unit and a detection limit of 4.4 pM for detection of anti-DNP. The sensitivity of the diffracted spot was confirmed using finite element method (FEM) simulations in COMSOL Multiphysics. This study presents a significant advancement in biosensing technology, offering practical solutions for sensitive, rapid, and label-free biomolecule detection.

Classification of autonomous vehicle crash severity: Solving the problems of imbalanced datasets and small sample size.

Only a few researchers have shown how environmental factors and road features relate to Autonomous Vehicle (AV) crash severity levels, and none have focused on the data limitation problems, such as small sample sizes, imbalanced datasets, and high dimensional features. To address these problems, we analyzed an AV crash dataset (2019 to 2021) from the California Department of Motor Vehicles (CA DMV), which included 266 collision reports (51 of those causing injuries). We included external environmental variables by collecting various points of interest (POIs) and roadway features from Open Street Map (OSM) and Data San Francisco (SF). Random Over-Sampling Examples (ROSE) and the Synthetic Minority Over-Sampling Technique (SMOTE) methods were used to balance the dataset and increase the sample size. These two balancing methods were used to expand the dataset and solve the small sample size problem simultaneously. Mutual information, random forest, and XGboost were utilized to address the high dimensional feature and the selection problem caused by including a variety of types of POIs as predictive variables. Because existing studies do not use consistent procedures, we compared the effectiveness of using the feature-selection preprocessing method as the first process to employing the data-balance technique as the first process. Our results showed that AV crash severity levels are related to vehicle manufacturers, vehicle damage level, collision type, vehicle movement, the parties involved in the crash, speed limit, and some types of POIs (areas near transportation, entertainment venues, public places, schools, and medical facilities). Both resampling methods and three data preprocessing methods improved model performance, and the model that used SMOTE and data-balancing first was the best. The results suggest that over-sampling and the feature selection method can improve model prediction performance and define new factors related to AV crash severity levels.

Verification of the Reliability and Validity of the Chinese Version of the Novelty Need Satisfaction Scale in Physical Education.

Purpose: This study aims to validate the Chinese version of the Novelty Need Satisfaction Scale (NNSS) within physical education (PE) contexts, incorporating three distinct studies to examine its reliability, validity, and measurement invariance across gender and different samples. Methods: Study 1 involved translating the original NNSS into Chinese and evaluating it through confirmatory factor analysis, item analysis, and assessments of internal consistency reliability among 390 students (53.8% male, 46.2% female), averaging 14.5 years in age. Study 2 assessed the discriminant validity of the Chinese NNSS by exploring correlations between novelty need satisfaction and three conventional basic psychological needs (BPNs) - autonomy, competence, and relatedness, in a larger cohort of 845 students (51.7% male, 48.3% female), with an average age of 14.8 years. This study also investigated the relationships between novelty need satisfaction, autonomous motivation, and enjoyment in PE. Study 3 examined the measurement invariance of the Chinese NNSS across gender and different samples, using a sample of 1235 students (52.6% male, 47.4% female), with an average age of 14.6 years. Results: The one-factor, five-item structure of the Chinese NNSS was confirmed in Study 1. Study 2 demonstrated the distinct yet covariant nature of novelty need satisfaction among BPNs and its predictive capability for enjoyment in PE through autonomous motivation. Study 3 confirmed the measurement invariance of the Chinese NNSS across gender and samples, validating its reliability and applicability. Conclusion: The validation of the Chinese NNSS within PE settings not only adds the need for novelty to the motivational sequence proposed by self-determination theory (SDT) but also emphasizes its significant role in enhancing autonomous motivation and enjoyment. This study suggests the scale's utility for future research in exploring the dynamics among BPNs and provides deeper insights into the motivational processes in PE.

Direct observation of single-atom defects in monolayer two-dimensional materials by using electron ptychography at 200 kV acceleration voltage.

Electron ptychography has emerged as a popular technology for high-resolution imaging by combining the high coherence of electron sources with the ultra-fast scanning electron coil. However, the limitations of conventional pixelated detectors, including poor dynamic range and slow data readout speeds, have posed restrictions in the past on conducting electron ptychography experiments. We used the Gatan STELA pixelated detector to capture sequential diffraction data of monolayer two-dimensional (2D) materials for ptychographic reconstruction. By using the pixelated detector and electron ptychography, we demonstrate the observation of the radiation damage at atomic resolution in Transition Metal Dichalcogenides (TMDs).

Ultralow Auger-Assisted Interlayer Exciton Annihilation in WS2/WSe2 Moiré Heterobilayers.

Transition metal dichalcogenide (TMD) heterobilayers have emerged as a promising platform for exploring solid-state quantum simulators and many-body quantum phenomena. Their type II band alignment, combined with the moiré superlattice, inevitably leads to nontrivial exciton interactions and dynamics. Here, we unveil the distinct Auger annihilation processes for delocalized interlayer excitons in WS2/WSe2 moiré heterobilayers. By fitting the characteristic efficiency droop and bimolecular recombination rate, we quantitatively determine an ultralow Auger coefficient of 1.3 × 10-5 cm2 s-1, which is >100-fold smaller than that of excitons in TMD monolayers. In addition, we reveal selective exciton upconversion into the WSe2 layer, which highlights the significance of intralayer electron Coulomb interactions in dictating the microscopic scattering pathways. The distinct Auger processes arising from spatial electron-hole separation have important implications for TMD heterobilayers while endowing interlayer excitons and their strongly correlated states with unique layer degrees of freedom.

Health Behavior Models and Regular Exercise Levels Among Workers in Taiwan.

Purpose: The present study aims to examine the disparate effects of health behavior models, namely exercise self-efficacy (ESE), health belief model (HBM), and planned behavior theory (PBT), applied to clarify the degree of regular exercise among workers in Taiwan. Methods: A cross-sectional research design was adopted. A questionnaire was distributed to obtain information pertaining to regular exercise level, demographic characteristics, and the scores of ESE, HBM, and PBT. In total, 400 full-time workers voluntarily participated in this study. Results: The results showed that only 20.5% of the participants exercised regularly, 37.3% exercised irregularly, and 42.3% did not exercise currently. "Perceived benefits" and "perceived barriers" pertaining to HBM; "attitude" and "perceived behavioral control" pertaining to PBT; and ESE were associated with regular exercise level in the multiple linear regression analyses of each health behavior model. When all three models were considered simultaneously, ESE provided the greatest explanation of the variances for regular exercise levels. PBT total made a smaller contribution in the prediction of regular exercise level, while the effect of HBM did not show statistical significance. In order to explore the practicality of moving beyond theoretical models and focusing on the components across health behavior models to enhance workers' exercise behavior, the components showing statistical significance in separate analysis were put into the multiple linear regression simultaneously. The results showed that ESE, perceived barriers of health behavior, attitude, and perceived behavioral control were significantly associated with regular exercise level. Conclusion: A low percentage of workers exercising regularly should be a notable issue for workplace health promotion. Neither utilizing cues to exercise nor advertising health threats of physical inactivity is sufficient to enable workers to exercise regularly. Enhancing workers' ESE and behavior control and removing the exercise barriers would constitute efficient strategies for maintaining the exercise habit of workers.

A comparison of the learning effects between TGfU-SE and TGfU on learning motivation, sport enjoyment, responsibility, and game performance in physical education.

Background: Both the Sport Education (SE) model and Teaching Games for Understanding (TGfU) have been connected to the theory of situated learning, which is a game-centered curricular model. TGfU emphasizes tactical awareness, decision making, and skill execution. The SE model provides a complete season during physical education (PE) lessons. Therefore, it is worth exploring the integration of TGfU with SE (TGfU-SE) model in PE courses, and whether the hybrid TGfU-SE model can achieve better learning effects for students than the TGfU model alone. Purpose: The purpose of the study was to compare the difference in learning effects between the TGfU-SE model and the TGfU model on students' learning motivation, sport enjoyment, responsibility, and game performance. Methods: This study used a quasi-experimental design to compare different learning effects between the experimental group (TGfU-SE) and the control group (TGfU). The participants lived in Taiwan, including two junior high school PE teachers and four PE classes with a total of 90 students (TGfU-SE group, n = 46; TGfU group, n = 44). Each teacher taught two PE classes, one with an experimental group and one with a control group. This study used four research instruments, including the Responsibility Scale in Physical Education (RSPE), Learning Motivation Scale in Physical Education (LMSPE), Sport Enjoyment Scale in Physical Education (SESPE), and Game Performance assessment instrument (GPAI). Analysis of covariance (ANCOVA) and the independent t-test were used to analyze the data. Results: The results of this study showed that the TGfU-SE model had more positive learning effects on students' learning motivation, sport enjoyment, responsibility, and game performance than the TGfU model. Conclusion: we concluded that the TGfU-SE model had a more positive influence on students' learning performance than the TGfU model. It is suggested that the hybrid TGfU-SE model could be implemented effectively in the PE curriculum.

Remarkably Deep Moiré Potential for Intralayer Excitons in MoSe2/MoS2 Twisted Heterobilayers.

A moiré superlattice formed in twisted van der Waals bilayers has emerged as a new tuning knob for creating new electronic states in two-dimensional materials. Excitonic properties can also be altered drastically due to the presence of moiré potential. However, quantifying the moiré potential for excitons is nontrivial. By creating a large ensemble of MoSe2/MoS2 heterobilayers with a systematic variation of twist angles, we map out the minibands of interlayer and intralayer excitons as a function of twist angles, from which we determine the moiré potential for excitons. Surprisingly, the moiré potential depth for intralayer excitons is up to ∼130 meV, comparable to that for interlayer excitons. This result is markedly different from theoretical calculations based on density functional theory, which show an order of magnitude smaller moiré potential for intralayer excitons. The remarkably deep intralayer moiré potential is understood within the framework of structural reconstruction within the moiré unit cell.

The Role of Novelty Satisfaction in Distance Physical Education During the COVID-19 Pandemic: A Self-Determination Theory Perspective.

PURPOSE: To better understand the role of novelty satisfaction in distance physical education (PE) during the COVID-19 pandemic, this study aimed to determine the relationships among students' novelty satisfaction, basic psychological needs satisfaction, autonomous motivation, effort, and enjoyment and to examine the mediating effects of autonomous motivation in the relationships between novelty satisfaction and effort and enjoyment. METHODS: The participants were 332 undergraduate students from 10 PE classes. Structural equation modeling was used for data analysis. RESULTS: Satisfaction of students' need for novelty and the three basic needs positively predicted autonomous motivation, which in turn positively predicted effort and enjoyment. The relationships between students' novelty satisfaction and their effort and enjoyment were mediated by autonomous motivation. CONCLUSION: This study provides important insights into needs satisfaction and motivational underpinnings of outcomes in distance PE during the COVID-19 pandemic. We suggest that future studies develop novelty support strategies based on our findings.