Miracle-dz/UniFAR-FTUs huggingface dataset:
Family Socioeconomic Status and Parental Involvement in Chinese Parents of Children with Autism Spectrum Disorder: A Moderated Mediation Model

Parental involvement benefits children with autism spectrum disorder (ASD) in multiple developmental areas. We conducted the present study to examine the role of parenting stress and ASD symptom severity in the relationship between family socioeconomic status (SES) and parental involvement. A total of 165 Chinese parents of children with ASD participated in this study. Mediation analyses indicated that family SES was positively related to parental involvement; parenting stress partially mediated the relationship between family SES and parental involvement. The analyses also found that ASD symptom severity moderated the influence of parenting stress on parental involvement. Specifically, the decreased parenting stress improved parental involvement when ASD symptom severity was low. The findings enhanced our understanding of the mechanism underlying the relationship between family SES and parental involvement among parents facing considerable child-rearing challenges. Implications for devising evidenced-based interventions to promote parental involvement for low SES children with ASD are discussed.
Neutrosophic Generalized Exponential Robust Ratio Type Estimators

Estimators proposed under classical statistics fail if data are vague or indeterminate. Neutrosophic Statistics are the only alternative because its deal with indeterminacy. Extensive reserch has been conducted in this field because of its wide applicability. This study aimed to further develop the theory of neutosophic simple random sampling without replacement. In this study, a generalized neutrosophic exponential robust ratio-type estimator was proposed, and five of its member neutrosophic estimators were developed. Derivations of the bias and Mean Square Error were provided up to the first-order approximation. To demonstrate the high efficiency of the proposed neutrosophic estimators an empirical study on the stock price of Moderna and four simulation studies have been conducted, and the results show that the proposed neutrosophic estimators are more efficient than similar existing ratio type estimators discussed in this paper in neutrosophic as well as classical forms.
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows

We introduce a novel method using a new generative model that automatically learns effective representations of the target and background appearance to detect, segment and track each instance in a video sequence. Differently from current discriminative tracking-by-detection solutions, our proposed hierarchical structural embedding learning can predict more high-quality masks with accurate boundary details over spatio-temporal space via the normalizing flows. We formulate the instance inference procedure as a hierarchical spatio-temporal embedded learning across time and space. Given the video clip, our method first coarsely locates pixels belonging to a particular instance with Gaussian distribution and then builds a novel mixing distribution to promote the instance boundary by fusing hierarchical appearance embedding information in a coarse-to-fine manner. For the mixing distribution, we utilize a factorization condition normalized flow fashion to estimate the distribution parameters to improve the segmentation performance. Comprehensive qualitative, quantitative, and ablation experiments are performed on three representative video instance segmentation benchmarks (i.e., YouTube-VIS19, YouTube-VIS21, and OVIS) and the effectiveness of the proposed method is demonstrated. More impressively, the superior performance of our model on an unsupervised video object segmentation dataset (i.e., DAVIS19) proves its generalizability. Our algorithm implementations are publicly available at https://github.com/zyqin19/HEVis.
An Experimental Investigation of Accurate Particle Tracking in Supersonic, Rarefied Axisymmetric Jets

Research indicates that atomized liquid seed particles will be small enough to accurately track the flow dynamics of rarefied supersonic nozzles. However, the accuracy of the particle tracking must be quantified. This article describes the process used to determine the accuracy of particle based velocimetry measurements. Measurements taken with seed particle based tracking techniques are compared to a molecular tracer technique called molecular tagging velocimetry to confirm if the particles accurately track the flow. Particle based velocity measurements are confirmed to track the mean flow features to within 5% of the molecular tracer based velocimetry technique, however the particle based measurements do not accurately track shocks.
Lactic acid bacteria fermented foods: Impact on immune system and consequences over type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease affecting millions worldwide. Recent studies suggest that dietary interventions may improve glycemic control and lower the risk of T2DM development. In this regard, lactic acid bacteria (LAB) fermented foods have gained attention due to their potential health benefits, including their ability to modulate the immune system and improve glucose metabolism. This review discusses probiotic LABs and their potential usefullnes in treating metabolic disorders, focusing on diabetes mellitus (DM). The use of LAB in the fermentation mechanism of food can help in disease prevention and immunoregulation along with the benefits of preservation and escalated nutritional properties, and enhanced flavor of food. The probiotics and the metabolites produced during fermentation are involved in modifying the physiopathology and endocrine physiology or generating specific molecules for signaling pathways that may have these effects. Furthermore, this review discusses the effect, therapeutic approaches, and clinical trials of LAB and LAB fermented foods in different comorbidities, pediatric populations, gestational DM, and diabetic dietary supplements. However, there are still some roadblocks to their widespread use, such as ethical, cultural, and religious issues, which can be reduced with more real-life clinical studies. Additionally, further research into the bioinformatics of probiotic LAB strains is needed to collaborate with other researchers in this field.
Factors associated with depressive symptoms among adolescents in Indonesia: A cross-sectional study of results from the Indonesia Family Life Survey.

Introduction Depression is one of the mental illnesses that affect adolescents worldwide. This study analysed the factors associated with depressive symptoms among adolescents in Indonesia. Method A quantitative cross-sectional study was conducted using secondary data from the Indonesian Family Life Survey 2014. The sample included 3,603 adolescents aged 10-19 years. Data were analysed using logistic regression statistical tests. Results Of the adolescents, 29.1% had depressive symptoms. The bivariate analysis showed that sex, region, economic status, chronic illness history, sleep quality, smoking habit, and personality type were associated with a higher probability of depressive symptoms among the adolescents. Conclusion A history of chronic diseases contributes the most to the occurrence of depressive symptoms among adolescents. To reduce the prevalence of chronic diseases associated with depression, the Indonesian government must make preventive efforts through early detection among young people.
Transport and Approximate Conservation Laws in Low Dimensional Systems

We set up a framework in which controlled lower bounds to conductivities of strongly correlated quantum systems may be calculated perturbatively in situations where the conductivities are infinite in the unperturbed model. This framework is then applied to study the transport properties of almost integrable systems, in general, and heat and spin conductivities in the integrable XXZ Heisenberg spin chain perturbed by various integrability breaking couplings, in particular. Furthermore, we systematically develop a microscopic description of the contribution of spin chains to experimentally measured heat conductivity in spin chain compounds, with an emphasis on the effect of weak disorder.
Nautilus: A Tool for Modeling Fluid Plasmas

Plasmas are important in many situations including space and solar physics, lightning, re-entry heating and nuclear fusion. It’s most often the case that the plasma is generated from a cold neutral fluid so there is a transition regime where the plasma is neither fully ionized nor neutral. Furthermore in most high temperature devices a significant amount of neutral fluid may exist (particularly near the wall). As such, is is important that even for high temperature plasmas the transition regime between fully ionized and non-ionized plasmas be modeled. In addition, given the wide variety of temperature and densities that can exist in plasmas, there are many, many different plasma models that are relevant in the different situation. Nautilus is a code that is a collection of these various plasma fluid models encompassing the regimes of neutral flow (important in aeronautics) to high temperature plasmas important in nuclear fusion. The fluid models can use either ideal gas laws or general equation of state. Radiation transport can also be modeled. This paper outlines the physics modeled in Nautilus along with the algorithms and various applications including plasma jet merging, FRC formation and collisionless reconnection.
Occurrence and Distribution of Antibiotics in a Tropical Mariculture Area of Hainan, China: Implications for Risk Assessment and Management

With the rapid global demand for mariculture products in recent years, the use of antibiotics has increased intensively in the mariculture area. Current research on antibiotic residues in mariculture environments is limited, and less information is available on the presence of antibiotics in tropical waters, limiting a comprehensive understanding of their environmental presence and risk. Therefore, this study investigated the environmental occurrence and distribution of 50 antibiotics in the near-shore aquaculture waters of Fengjia Bay. A total of 21 antibiotics were detected in 12 sampling sites, including 11 quinolones, 5 sulfonamides, 4 tetracyclines, and 1 chloramphenicol; the quinolones pyrimethamine (PIP), delafloxacin (DAN), flurofloxacin (FLE), ciprofloxacin (CIP), norfloxacin (NOR), pefloxacin (PEF), enrofloxacin (ENO), and minocycline (MNO) of the tetracycline class were detected in all sampling points. The total antibiotic residue concentrations in the study area ranged from 153.6 to 1550.8 ng/L, the tetracycline antibiotics were detected in the range of 10 to 1344.7 ng/L, and the chloramphenicol antibiotics were detected in the range of 0 to 106.9 ng/L. The detected concentrations of quinolones ranged from 81.3 to 136.1 ng/L, and the residual concentrations of sulfonamide antibiotics ranged from 0 to 313.7 ng/L. The correlation analysis with environmental factors revealed that pH, temperature, conductivity, salinity, NH3−-N, and total phosphorus had a strong correlation with antibiotics. Based on PCA analysis, the main sources of antibiotic pollution in the area were determined to be the discharge of farming wastewater and domestic sewage. The ecological risk assessment indicated that the residual antibiotics in the water environment of the near-shore waters of Fengjiawan had certain risks to the ecosystem. Among them, CIP, NOR, sulfamethoxazole (TMP), ofloxacin (OFL), enrofloxacin (ENO), sulfamethoxazole (SMX), and FLE showed medium to high risk. Therefore, it is recommended to regulate the use of these antibiotics and the discharge and treatment of culturing wastewater, and measures should be taken to reduce the environmental pollution caused by antibiotics and to monitor the long-term ecological risk of antibiotics in the region. Overall, our results provide an important reference for understanding the distribution and ecological risk of antibiotics in Fengjiawan.
High efficiency THz-wave modulators based on conjugated polymer-based organic films

A study of the modulation mechanisms of conjugated polymer-based organic films and high-efficiency, broadband and all-optically controlled terahertz modulators based on these films is presented in this paper. Under very low-level external laser excitation, modulation efficiency of more than 99% is achieved using MEH-PPV/Si, PFO/Si and F8BT/Si bilayers. By analyzing the changes in the photo-excited carrier density and photoconductivity with changes in the external laser intensity, we introduce a nonlinear photo-induced absorption process to explain the strong attenuation mechanism for the transmitted terahertz waves. Finally, a simple THz communication test is carried out to demonstrate the potential future applications of the high-efficiency all-optically controlled terahertz modulator.
Alternative Splicing Changes Promoted by NOVA2 Upregulation in Endothelial Cells and Relevance for Gastric Cancer

Angiogenesis is crucial for cancer progression. While several anti-angiogenic drugs are in use for cancer treatment, their clinical benefits are unsatisfactory. Thus, a deeper understanding of the mechanisms sustaining cancer vessel growth is fundamental to identify novel biomarkers and therapeutic targets. Alternative splicing (AS) is an essential modifier of human proteome diversity. Nevertheless, AS contribution to tumor vasculature development is poorly known. The Neuro-Oncological Ventral Antigen 2 (NOVA2) is a critical AS regulator of angiogenesis and vascular development. NOVA2 is upregulated in tumor endothelial cells (ECs) of different cancers, thus representing a potential driver of tumor blood vessel aberrancies. Here, we identified novel AS transcripts generated upon NOVA2 upregulation in ECs, suggesting a pervasive role of NOVA2 in vascular biology. In addition, we report that NOVA2 is also upregulated in ECs of gastric cancer (GC), and its expression correlates with poor overall survival of GC patients. Finally, we found that the AS of the Rap Guanine Nucleotide Exchange Factor 6 (RapGEF6), a newly identified NOVA2 target, is altered in GC patients and associated with NOVA2 expression, tumor angiogenesis, and poor patient outcome. Our findings provide a better understanding of GC biology and suggest that AS might be exploited to identify novel biomarkers and therapeutics for anti-angiogenic GC treatments.
The Role of a Strong Out‐Of‐Plane Magnetic Field at the X‐Line in Antiparallel Magnetic Reconnection as a Guide Field

The magnetic reconnection process substantially changes the configuration of the magnetic field in plasma and explosively releases magnetic energy. The asymptotic magnetic field lines during magnetic reconnection events can be strictly antiparallel or only have one antiparallel component, and the magnetic reconnection features are distinct under different asymptotic magnetic fields. Here, we provide the first observational evidence demonstrating the existence of a strong out‐of‐plane magnetic field at the X‐line in antiparallel reconnection. The analyses described herein show that this strong out‐of‐plane magnetic field significantly changes the structure of the diffusion region, thereby altering the reconnection features in terms of particle dynamics and energy dissipation by way of a guide field. A new pattern of the normal electric field near the X‐line is responsible for producing this out‐of‐plane magnetic field. Our findings suggest that, in addition to asymptotic conditions, local processes inside the diffusion region can also determine whether magnetic reconnection events develop as antiparallel reconnection or component reconnection.
Ivrr-PPG: An Illumination Variation Robust Remote-PPG Algorithm for Monitoring Heart Rate of Drivers

Heart rate can be accurately measured by Remote PhotoPlethysmoGraphy (rPPG) in stable illumination and noise-controlled environments such as indoors. However, heart rate measurement in the automotive scene is still faced with several challenges since the lighting illumination in the cab often changes dramatically. To address such issues, a novel method named illumination variation robust remote-photoplethysmography (Ivrr-PPG) is proposed for monitoring the heart rate of drivers during on-road driving. The prototype is based on a commercial off-the-shelf imaging system, which includes a monochrome camera with a 940-nm narrowband NIR filter and two 940-nm NIR active light sources to collect real-time video of drivers. Based on a dichromatic model, the core idea of our method is to model the nonlinear relationship between the illumination changing and the rPPG signal. This article also proposed to use a background region to sense the illumination changing and consequently suppress its impact on the pulse signal. A single-tone sinusoidal signal-based frequency estimation method is then used to compute the heart rate. Experimental results conducted on four different on-road driving scenarios show that the Ivrr-PPG significantly outperforms the state-of-the-art single-channel narrowband NIR algorithms.
Work Stress, Work-Related Rumination, and Depressive Symptoms in University Teachers: Buffering Effect of Self-Compassion

Purpose The association between work stress and depressive symptoms has been well documented. More research is still needed to further investigate the underlying explanatory process mechanism and the potential protective function of personal resource in attenuating the negative effect of work stress on mental health. To address this gap and informed by the stress process model and emotion regulation theory,the present study examined the indirect role of work-related rumination and the buffering effect of self-compassion in university teachers, a population with increased vulnerabilities for both work stress and mental health issues. Methods This study collected data from 727 university teachers (Mage = 37.65 ± 7.77 years, 61.5% women) through an online survey. Indirect effect analysis and moderation effect analysis were implemented using structural equation modeling via Mplus. Results Work stress was directly and indirectly associated with depressive symptoms through work-related rumination, and self-compassion moderated the associations between (a) work stress and depressive symptoms and (b) work-related rumination and depressive symptoms. The direct and indirect effects of work stress on depressive symptoms were weaker in university teachers with high levels of self-compassion than in those with low levels of self-compassion. Conclusion Work stress was associated with depressive symptoms through a cognitive pathway. The findings deepen our understanding of the link between work stress and mental health outcomes by revealing the indirect role of cognitive processes, the protective function of emotion regulation strategies, and their interplay. Reducing work-related rumination and strengthening self-compassion may constitute effective interventions to alleviate the negative effects of work stress on mental health.
Two-Step LiDAR/Camera/IMU Spatial and Temporal Calibration Based on Continuous-Time Trajectory Estimation

Accurate intersensor spatiotemporal transformation is the fundamental prerequisite for multisensor fusion. However, traditional discrete-time calibration methods have natural shortcomings when dealing with distorted and asynchronous raw measurements collected by light detection and ranging (LiDAR) and rolling shutter cameras. To this end, we propose a two-step LiDAR/camera/inertial measurement unit (IMU) spatiotemporal calibration method using continuous-time batch optimization. This proposed method is target free and has no assumptions about the sensor configuration. Specifically, the LiDAR point-to-plane, gyroscope, and accelerometer factors are jointly optimized to obtain the optimal LiDAR-IMU extrinsic parameters, time offset, and poses of control points. Subsequently, combined with visual reprojection factor, the control points in the spline trajectory will be fixed to obtain the camera-IMU extrinsic parameters as well as its time offset. A series of experiments in both simulated and real-world environments were conducted to evaluate the effectiveness of the proposed calibration method. Moreover, the effects of different numbers of iterations, environments (indoor and outdoor), IMU sampling rates, and control point frequencies on the calibration performance are analyzed in detail.
The role of processing foregrounding in empathic reactions in literary reading

ABSTRACT A considerable body of research has examined the age-old assertion that reading literature enhances empathy, however, mixed results have been found. The present study attempts to clarify such disparities, investigating the role of foregrounding in possible differences in readers’ processing of literary texts and its connection with readers’ empathic reactions. We asked participants (N = 78) to mark parts of the text they considered as “foregrounding” (i.e., deviating from “normal” discourse), and we analyzed how they processed these stylistic aspects. Participants’ open responses to one of two selected texts were categorized as either Shallow, Failed, Partial, or Full Processing of Foregrounding. Full processing was associated with higher Comprehensive State Empathy Scale scores than Failed Processing. Stylistic analysis of word combinations that participants marked as “striking” suggests that, rather than stylistic devices per se, readers’ depth of processing may enhance state empathy.
Model Fit in Structural Equation Modeling and Multiple Imputation with Auxiliary Variables

This Monte Carlo study investigated the effect of including auxiliary variables on model fit during estimation of structural equation modeling with multiple imputation. Specifically, the study examined the influence of sample size(200 or 500), missing rates (10% or 20%), missingness mechanism combinations(MCAR-MCAR, MCAR-MAR, MAR-MAR, MCAR-MNAR, MAR-MNAR, MNAR-MNAR), missingness types(linear or convex), and the absence/presence of the auxiliary variables on F-statistic, NFl, TLI, CFI, McDonald's centrality index, and RMSEA. Including auxiliary variables in the imputation model was found to improve the fit on F-statistic, particularly when the missingness type was convex. The ad hoc fit indices examined in this study showed quite good fit, and MI with auxiliary variables tended to improve the fit in the more severe conditions of sample size of 200, missing rate of 20%, and MNAR-included cases. Implications and directions to future research are discussed.
Riluzole-Loaded Nanostructured Lipid Carriers for Hyperproliferative Skin Diseases

Nanocarriers, and especially nanostructured lipid carriers (NLC), represent one of the most effective systems for topical drug administration. NLCs are biodegradable, biocompatible and provide a prolonged drug release. The glutamate release inhibitor Riluzole (RLZ) is a drug currently used for amyotrophic lateral sclerosis (ALS), with anti-proliferative effects potentially beneficial for diseases with excessive cell turnover. However, RLZ possesses low water solubility and high light-sensibility. We present here optimized NLCs loaded with RLZ (RLZ-NLCs) as a potential topical treatment. RLZ-NLCs were prepared by the hot-pressure homogenization method using active essential oils as liquid lipids, and optimized using the design of experiments approach. RLZ-NLCs were developed obtaining optimal properties for dermal application (mean size below 200 nm, negative surface charge and high RLZ entrapment efficacy). In vitro release study demonstrates that RLZ-NLCs allow the successful delivery of RLZ in a sustained manner. Moreover, RLZ-NLCs are not angiogenic and are able to inhibit keratinocyte cell proliferation. Hence, a NLCs delivery system loading RLZ in combination with natural essential oils constitutes a promising strategy against keratinocyte hyperproliferative conditions.