Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of Supportive and Educational Group Therapy on Mental Health Improvement of Mothers of Children with Autism Spectrum Disorder

Objective: The aim of this study was to evaluate the effectiveness of supportive and educational group therapy on mental health improvement of mothers of children with Autism Spectrum Disorder (ASD). Method: In this quasiexperimental pre – post study, 20 participants with high levels of anxiety and depression and low levels of quality of life (QOL) were recruited from 127 mothers of children with Autism Spectrum Disorder. There were 10 mothers in the intervention group and 10 in the control group. The intervention program consisted of 6 two-hour sessions with an educational portion about the symptoms, etiology and treatment of ASD, and a supportive portion for managing stress and learning problem solving. Results: The mean scores of anxiety and depression decreased and QOL increased significantly in the experimental group 2 weeks after group sections, while this did not occur in the control group. This indicates significant improvement in the mental health of mothers of children with ASD following supportive and educational group therapy. Conclusion: Supportive and educational group therapy is effective for improving the mental health of mothers with ASD children.
Phosphorylation at Ser 727 Increases STAT3 Interaction with PKCε Regulating Neuron–Glia Crosstalk via IL-6-Mediated Hyperalgesia In Vivo and In Vitro

Methods A rat hyperalgesia model was induced using an intraplantar injection of Freund's complete adjuvant (FCA) or an intrathecal injection of IL-6. Mechanical allodynia was evaluated using von Frey filament tests after intrathecal injections of T-5224 (c-Fos/AP-1 inhibitor), minocycline (Mino, a specific microglia inhibitor), L-2-aminoadipic acid (LAA, an astroglial toxin), PKCε inhibitor peptide, APTSTAT3-9R (STAT3 inhibitor), or anti-IL-6 antibody. The c-Fos, GFAP, Iba-1, PKCε, STAT3, pSTAT3Tyr705 and pSTAT3Ser727, and IL-6 expression at the spinal cord level was assessed by Western blot analysis. The interactive effects of PKCε and STAT3 were determined using immunofluorescence staining and immunoprecipitation in vivo and in vitro. Interleukin-6 promoter activity was examined using luciferase assays. Results T-5224, Mino, and LAA attenuated FCA- or IL-6-mediated inflammatory pain, with a decrease in c-Fos, GFAP, Iba-1, PKCε, and IL-6 expression. PKCε inhibitor peptide and APTSTAT3-9R reversed FCA-induced nociceptive behavior, while decreasing pSTAT3Ser727, IL-6, c-Fos, GFAP, and Iba-1 expression and PKCε and STAT3 coexpression. Interleukin-6 promoter activity increased in the presence of PKCε and STAT3. The interaction with PKCε increased on phosphorylating STAT3 at Ser727 but not at Tyr705. Conclusion STAT3 phosphorylation at Ser 727 and the interaction with PKCε contribute to hyperalgesia via the IL-6-mediated signaling pathway, thus regulating neuron–glia crosstalk during inflammatory pain.
City-exit and Community-fit: Finding One’s ‘Place’ in Australia

Understanding what prompts ‘community-fit’ (subjective feeling of alignment with one’s residential community) is vital for retaining city-leavers voluntarily choosing to live outside major cities and for community well-being/prosperity. In Australia, city-exit is supported by decentralisation policy and media using imagery of gentrified rurality, wholesome communities, and affordability to assuage metropolitan congestion and address non-coastal rural-regional depopulation. This results in land development accompanied by population turnover as a few urbanites permanently relocate inland. By presenting a thematic analysis of interviews with city-leavers and government/industry professionals, this article identifies key factors affecting (dis)satisfaction with communities sought/left. Findings show community satisfaction is achieved through sociocultural-affirming social interactions, not property/amenity consumption. Hence, developing rural-regional marketing strategies that better articulate communities’ sociocultural dimensions may increase awareness of place-based values/characteristics pre-relocation to avoid poor community fit and cost. Finally, to support resident retention, inclusivity practices accompanying community change are advocated.
Sensorimotor Therapy Using Vestibular Stimulation: A Complementary Method for ‘Treatment’ of Developmental Coordination Disorder and a Possible Way to Awaken the Innate Potential for a Physically Active Life

The aim of this commentary is to present characteristics of an “unidentified psychological barrier,” which we previously have speculated to be associated with vestibular underachievement, an overlooked part for the understanding of the resistance to physical activity as well as in the assessments and interventions of developmental coordination disorder (DCD). Furthermore, we will discuss the importance of its identification and how to push knowledge forward. A delayed or partly absent sensorimotor development for an otherwise healthy infant might be a substantial sign of an underachieving vestibular system. It is time to act and to take sensorimotor immaturities seriously. In order to come to terms with DCD including physical inactivity there is a need for a grounded approach to sensorimotor development, not the least as a complement to already established ‘treatment’ methods.
Photocurable GelMA Adhesives for Corneal Perforations

The current treatments for the management of corneal and scleral perforations include sutures and adhesives. While sutures are invasive, induce astigmatism and carry a risk of infection, cyanoacrylate glues are toxic, proinflammatory and form an opaque and rough surface that precludes vision. Consequently, the clinical need for a fast curing and strong tissue adhesive with minimised cytotoxicity and host inflammation remains unmet. In this paper, we engineer a gelatine methacryloyl (GelMA) adhesive that can be crosslinked in situ within 2 min using UV or visible light and a riboflavin (RF)/sodium persulfate (SPS) system. Optical coherence tomography (OCT) images demonstrated that the flowable GelMA adhesive could completely fill corneal wounds and restore the ocular curvature by forming a smooth contour on the ocular surface. Further, ex vivo studies in porcine eyes showed that GelMA bioadhesives exhibited burst pressures that were comparable to cyanoacrylates (49 ± 9 kPa), with the hydrogels exhibiting a transmittance (90%), water content (85%) and storage modulus (5 kPa) similar to the human cornea. Finally, using human dermal fibroblasts, we showed that our GelMA adhesive was non-toxic and could effectively support cell adhesion and proliferation. Taken together, the adhesive’s performance, injectability and ease of administration, together with gelatin’s availability and cost-effectiveness, make it a potential stromal filler or sealant for corneal and conjunctival applications.
Measuring Reactive Oxygen Species in Semen for Male Preconception Care: A Scientist Perspective

Oxidative stress and elevated levels of seminal and sperm reactive oxygen species (ROS) may contribute to up to 80% of male infertility diagnosis, with sperm ROS concentrations at fertilization important in the development of a healthy fetus and child. The evaluation of ROS in semen seems promising as a potential diagnostic tool for male infertility and male preconception care with a number of clinically available tests on the market (MiOXSYS, luminol chemiluminescence and OxiSperm). While some of these tests show promise for clinical use, discrepancies in documented decision limits and lack of cohort studies/clinical trials assessing their benefits on fertilization rates, embryo development, pregnancy and live birth rates limit their current clinical utility. In this review, we provide an update on the current techniques used for analyzing semen ROS concentrations clinically, the potential to use of ROS research tools for improving clinical ROS detection in sperm and describe why we believe we are likely still a long way away before semen ROS concentrations might become a mainstream preconception diagnostic test in men.
The Influence of Career Commitment and Workload on Academics’ Job Satisfaction: The Moderating Role of a Supportive Environment

This paper serves to study the influences of career commitment and workload on job satisfaction among academics in higher education. We investigated whether a supportive environment is a significant moderator between workload and job satisfaction. For this cross-sectional study, the stratified random sampling method yielded 191 academics from five research universities in Malaysia. Partial least squares-structural equation modeling (PLS-SEM) showed that high levels of career commitment correspond with high levels of satisfaction at work of academics. Also, a greater workload diminishes job satisfaction among academics. The analysis of the interaction-moderation dynamics showed that a supportive environment reduces workload effects on academics’ job satisfaction. This study contributes to confirming the important roles of career commitment and workload in predicting job satisfaction. It also expands literature on the buffering role of a supportive environment in the interaction between workload and job satisfaction among academics.
Curiosity and mesolimbic functional connectivity drive information seeking in real life

Curiosity reflects the intrinsic motivation of an individual to seek information in order to close information gaps. Laboratory-based experiments have shown that both curiosity and information seeking are associated with enhanced neural dynamics in the mesolimbic dopaminergic circuit. However, it is unclear whether curiosity and its associated neural dynamics in the dopaminergic circuit drive information seeking in real life. The present study investigated (i) whether curiosity traits predict different characteristics of real-life information seeking and (ii) whether functional connectivity within the mesolimbic dopaminergic circuit is associated with information seeking outside of the laboratory. Up to 15 month before the COVID-19 pandemic, we conducted curiosity and anxiety questionnaires as well as a 10-minute resting-state fMRI session. In a follow-up survey early during the COVID-19 pandemic, participants repeated the questionnaires and filled out an additional questionnaire about their COVID-19-related information seeking. Curiosity but not anxiety remained stable over time. Individual differences in curiosity were positively associated with the frequency of information-seeking behaviour. Anxiety during the pandemic was not linked to any characteristics of real-life information seeking. Interestingly, the frequency of information seeking was also independently predicted by individual differences in resting-state functional connectivity between the ventral tegmental area and the nucleus accumbens. The present translational study paves the way for future studies on the role of curiosity in real-life information seeking by showing that curiosity drives information seeking in real-life situations and that the curiosity-promoting mesolimbic dopaminergic functional network supports the frequency of real-life information-seeking behaviour. SIGNIFICANCE STATEMENT Curiosity is a key driver of learning and information seeking in everyday life. However, the temporal stability of curiosity traits, their relationship to real-life information seeking, and the associated dopaminergic brain activity are poorly understood. The present study provides evidence that curiosity traits are stable over time – even through a major event, such as the COVID-19 pandemic – and that both curiosity and intrinsic functional connectivity within the mesolimbic dopaminergic circuit are associated with the frequency of real-life information seeking. These findings contribute to a better understanding of cognitive and neural differences that shape how individuals seek out information and may offer the opportunity to help individuals with suboptimal information-seeking behaviour that negatively affects their well-being or mental health.
Estimating Physically-based Reflectance Parameters from a Single Image with GAN-guided CNN

We present a method that estimates the physically accurate reflectance of materials from a single image and reproduces real world materials which can be used in well-known graphics engines and tools. Recovering the BRDF (bidirectional reflectance distribution function) from a single image is an ill-posed problem due to the insufficient irradiance and geometry information as well as the insufficient samples on the BRDF parameters. The problem could be alleviated with a simplified representation of the surface reflectance such as Phong reflection model. Recent works have appealed that convolutional neural network successfully predicts parameters of empirical BRDF models for non-Lambertian surfaces. However, parameters of the physically-based model confront the problem of having non-orthogonal space, making it difficult to estimate physically meaningful results. In this paper, we propose a method to estimate parameters of a physically-based BRDF model from a single image.We focus on the metallic property of the physically-based model to enhance the estimation accuracy. Since metals and nonmetals have very different characteristics, our method processes them separately. Our method also generates auxiliary maps using a cGAN (conditional generative adversarial network) architecture to help in estimating more accurate BRDF parameters. Based on the experimental results, the auxiliary map is selected as an irradiance environment map for the metallic and a specular map for the nonmetallic. These auxiliary maps help to clarify the contributions of different actors, including light color, material color, specular component, and diffuse component, to the surface color. Our method first estimates whether the material on the input image is metallic or nonmetallic. Then, it estimates BRDF parameters using CNN (convolutional neural networks) architecture guided by generated auxiliary maps. Our results show that our method is effective to estimate BRDF parameters both on synthesized as well as real images.
Clinical Issues in Indication, Correction, and Outcomes of the Surgery for Neuromuscular Scoliosis: Narrative Review in Pedicle Screw Era

Surgical treatment for neuromuscular scoliosis has evolved with pedicle screw instrumentation and the improvement of perioperative management. We aimed to review recent papers related to posterior surgical correction with a pedicle screw system for neuromuscular scoliosis, particularly cerebral palsy and muscular dystrophy, in terms of indication, correction method, and outcomes. The most remarkable change was the posterior-only operation with all-pedicle screw fixations. With this change, operation time, blood loss, and postoperative complications decreased. Furthermore, spinal osteotomy could be performed with the pedicle screw system for severe scoliosis. S2-alar-iliac screws demonstrated favorable outcomes in terms of stability and complication, but a question remains about saving the mobile segment for sitting balance, interaction between the hip and spine, effect to the sagittal balance, and proximal junctional problem. The quality of life improvement was more definite in patients with cerebral palsy. The improvement of respiratory function in Duchenne muscular dystrophy was not certain, although an increase of spinal height, thoracic cavity size, and absolute forced vital capacity have been reported. Further prospective studies or randomized clinical trials are needed to evaluate the long-term outcomes of lumbosacral fixation, preservation of the lumbosacral joint, or functional improvement considering the different etiology.
Detection of Cause-Effect Relations Based on Information Granulation and Transfer Entropy

Causality inference is a process to infer Cause-Effect relations between variables in, typically, complex systems, and it is commonly used for root cause analysis in large-scale process industries. Transfer entropy (TE), as a non-parametric causality inference method, is an effective method to detect Cause-Effect relations in both linear and nonlinear processes. However, a major drawback of transfer entropy lies in the high computational complexity, which hinders its real application, especially in systems that have high requirements for real-time estimation. Motivated by such a problem, this study proposes an improved method for causality inference based on transfer entropy and information granulation. The calculation of transfer entropy is improved with a new framework that integrates the information granulation as a critical preceding step; moreover, a window-length determination method is proposed based on delay estimation, so as to conduct appropriate data compression using information granulation. The effectiveness of the proposed method is demonstrated by both a numerical example and an industrial case, with a two-tank simulation model. As shown by the results, the proposed method can reduce the computational complexity significantly while holding a strong capability for accurate casuality detection.
Application of Wavelet Analysis and Hilbert Analysis to Rolling Bearing Fault Diagnosis

In allusion to the nonstationarity and modulation feature of rolling bearing fault signals,this paper describes a method based on wavelet.It can decompose testing signals,and reconstruct the characteristic ones to obtain the fault signals.Also using Hilbert transform and time/frequency-domain bearing vibration analysis it presents an approach to get the frequency of fault signals.So you can estimate what kind of the fault mode is.And through the matlab emulator it indicated the wavelet combined with Hilbert transform can be effective agents in the diagnosis of various rolling bearing faults.
Foliar Application of Salicylic Acid Improves Salt Tolerance of Sorghum (Sorghum bicolor (L.) Moench)

It has been reported that around the world, approximately 19.5% of all irrigated land and 2.1% of dry land is affected by salt stress, and these percentages continue to increase. Sorghum is the fifth most important cereal in the world and therefore research on its salt tolerance is of global importance. In our research, we focused on foliar application of salicylic acid (SA) on salt-stressed sorghum. We performed a pot experiment with two salt levels (0 and 100 mM sodium chloride NaCl) and five SA concentrations (0, 50, 100, 150 and 200 mg/L). Our results suggest that in saline conditions foliar application of SA induced an adaptive response to salinity by inducing proline accumulation as well as antioxidant enzymes activities and enhanced the protection of the photosynthetic machinery, maintained photosynthesis activities, and improved the growth of sorghum plants. These alleviation effects were depended on applied SA concentration. Under saline condition 150 mg/L, SA was the most effective for relieving the adverse effect of salt stress. Under non-saline conditions 100 mg/L SA was the best for improving sorghum growth and dry matter production. Our results demonstrated that foliar SA application is effective in improving sorghum growth under salinity.
Neutralizing Antibodies Limit Cell-Associated Spread of Human Cytomegalovirus in Epithelial Cells and Fibroblasts

Human cytomegalovirus (HCMV) can cause severe clinical disease in immunocompromised individuals, such as allograft recipients and infants infected in utero. Neutralizing activity of antibodies, measured as the ability to prevent the entry of cell-free virus, has been correlated with the reduction in HCMV transmission and the severity of HCMV-associated disease. However, in vivo HCMV amplification may occur mainly via cell-to-cell spread. Thus, quantifying the inhibition of cell-to-cell transmission could be important in the evaluation of therapeutic antibodies and/or humoral responses to infection or immunization. Here, we established a quantitative plaque reduction assay, which allowed for the measurement of the capacity of antibodies to limit HCMV spread in vitro. Using an automated fluorescence spot reader, infection progression was assayed by the expansion of viral plaques during the course of infection with various GFP-expressing viruses. We found that in contrast to non-neutralizing monoclonal antibodies (mAbs), neutralizing mAbs against both glycoprotein B and H (gB and gH) could significantly inhibit viral plaque expansion of different HCMV strains and was equally efficient in fibroblasts as in epithelial cells. In contrast, an anti-pentamer mAb was active only in epithelial cells. Taken together, our data demonstrate that specific anti-HCMV mAbs can significantly limit cell-associated virus spread in vitro.
Heat exchanger network synthesis for batch processes involving heat storages

Having time-dependent streams makes the heat exchanger network(HEN)synthesis of batch process much more complicated than its continuous partner.In this paper,heat storages are employed to overcome the time-dependent limit and heat storages and heat exchangers are combined for sake of equipment cost reduction.To obtain the optimal solution,a nonlinear programming(NLP)with the objective of minimize total annual cost is established for the overall HEN synthesis,including the optimization of heat storage temperatures.At last an example is used to show the application and effectiveness of the proposed methods.
Growth Factors Do Not Improve Muscle Function in Young or Adult mdx Mice

Muscular dystrophies constitute a broad group of genetic disorders leading to muscle wasting. We have previously demonstrated that treating a muscular atrophy mouse model with growth factors resulted in increased muscle mass. In the present study, we treated the Duchenne mouse model mdx for 12 weeks with myogenic growth factors peri- and post-onset of muscular degeneration to explore the effects in the oxidative muscle soleus and the glycolytic muscle extensor digitorum longus (EDL). We found no overall beneficial effect in the peri-onset group at the conclusion of the study. In the post-onset group, the functional improvement by means of electrophysiological examinations ex vivo was mostly confined to the soleus. EDL benefitted from the treatment on a molecular level but did not improve functionally. Histopathology revealed signs of inflammation at the end of treatment. In conclusion, the growth factor cocktail failed to improve the mdx on a functional level.
Correlated Sample-based Prior in Bayesian Inversion Framework for Microwave Tomography

When using the statistical inversion framework in microwave tomography (MWT), generally the real and imaginary parts of the unknown dielectric constant are treated as uncorrelated and independent random variables. Thereby, in the maximum a posteriori estimates the two recovered variables may show different structural changes inside the imaging domain. In this work, a correlated sample-based prior model is presented to incorporate the correlation of the real part with the imaginary part of the dielectric constant in the statistical inversion framework. The method is used to estimate the inhomogeneous moisture distribution (as dielectric constant) in a large cross-section of a polymer foam. The targeted application of MWT is in industrial drying to derive intelligent control methods based on tomographic inputs for selective heating purposes. One of the features of the proposed method shows how to integrate lab-based dielectric characterization, often available in MWT application cases, in the prior modeling. The method is validated with numerical and experimental MWT data for the considered moisture distributions.