Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.

Objective: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dynamics underlying the behavioral symptoms of autism spectrum disorder (ASD), while studies have also demonstrated that mirror neuron mu rhythm-based EEG neurofeedback training improves the behavioral functioning of individuals with ASD. This study aimed to test the effects of a wearable mu rhythm neurofeedback training system based on machine learning algorithms for children with autism.

Methods: A randomized, placebo-controlled study was carried out on 60 participants aged 3 to 6 years who were diagnosed with autism, at two center-based intervention sites.

Development of the Parent-Child Communication Quality Scale from the Perspective of Children's Psychological Needs.

Parent-child communication plays a crucial role in children's healthy growth. Nevertheless, there is currently a paucity of instruments designed to measure the quality of parent-child communication from a psychological perspective. Accordingly, based on the self psychology theory, this study has developed the Parent-Child Communication Quality Scale (PCCQS) to assess the quality of parent-child communication in terms of the extent to which children's psychological needs are met.

The relationship of academic procrastination on non-English majors' English classroom anxiety: a moderated mediation model.

Objective: Academic procrastination is negatively associated with English classroom anxiety among non-English major college students. However, current research has less explored the underlying mechanisms. The present study aims to investigate the relationship between academic procrastination and college students' English classroom anxiety as well as the mediating role of learning engagement and the moderating role of appraisals of intrinsic values.

Multicenter cohort analysis of anoikis and EMT: implications for prognosis and therapy in lung adenocarcinoma.

Background: Anoikis and epithelial-mesenchymal transition (EMT) are pivotal in the distant metastasis of lung adenocarcinoma (LUAD). A detailed understanding of their interplay and the identification of key genes is vital for effective therapeutic strategies against LUAD metastasis.

Methods: Key prognostic genes related to anoikis and EMT were identified through univariate Cox regression analysis.

The Relationship between Maladaptive Perfectionism and Anxiety in First-Year Undergraduate Students: A Moderated Mediation Model.

To clarify the underlying mechanism of first-year undergraduate students' maladaptive perfectionism in relation to their anxiety, this study constructs a mediating model with moderation, focusing on the investigation of the mediating role of self-compassion and the moderating role of family support. A total of 924 university students were involved in the investigation, responding to questionnaires on their maladaptive perfectionism, anxiety, self-compassion, and family support. The results showed that (1) after controlling for gender and Hukou, maladaptive perfectionism had a significant positive predictive effect on anxiety; (2) self-compassion can play a role in mediating the relationship between maladaptive perfectionism and anxiety; and (3) the mediating effect of self-compassion on anxiety in terms of maladaptive perfectionism was moderated by family support.

Factors influencing pre-service special education teachers' intention toward AI in education: Digital literacy, teacher self-efficacy, perceived ease of use, and perceived usefulness.

The use of artificial intelligence in education (AIEd) has become increasingly significant globally. In China, there is a lack of research examining the behavioral intention toward AIEd among pre-service special education (SPED) teachers in terms of digital literacy and teacher self-efficacy. Building on the technology acceptance model, our study evaluated the aspects influencing pre-service special education teachers' intention toward AI in education.

The Impact of Executive Dysfunction on Anxiety in Hearing-Impaired College Students: Smartphone Addiction as a Mediator and Academic Procrastination as a Moderator.

Purpose: Hearing-impaired college students often rely on smartphones for information exchange and social interaction due to their hearing limitations, which may increase their risk of smartphone addiction. This study aims to explore the impact of executive dysfunction on anxiety levels in hearing-impaired college students, investigating smartphone addiction as a mediator and academic procrastination as a moderator.

Methods: We conducted a questionnaire survey using the Executive Function Scale, the Anxiety Scale, the Smartphone Addiction Scale, and the Academic Procrastination Scale.

Ultrasound-targeted microbubble destruction facilitates cartilage repair through increased the migration of mesenchymal stem cells via HIF-1α-mediated glycolysis pathway in rats.

Objective: Mesenchymal stem cells (MSCs) can treat osteoarthritis (OA), but their therapeutic efficacy is poor to date due to low migration efficiency. This study aimed to determine whether ultrasound-targeted microbubble destruction (UTMD) could ameliorate cartilage repair efficiency through facilitating the migration of MSCs via hypoxia-inducible factor-1α (HIF-1α)-mediated glycolysis regulatory pathway in OA model rats.

Methods: OA rats were treated with MSCs alone or in combination with UTMD, respectively, for 4 weeks.

The relationship between perceived social support and rumination among parents of children with autism: moderating effect of the degree of intervention received by children.

Objective: As the number of children diagnosed with autism rises year by year, the issue of nurturing this particular group becomes increasingly salient. Parents of autistic children, as the nearest and most reliable caregivers for their children, shoulder immense psychological strain and accountability. They are compelled to confront an array of daily life challenges presented by their children, as well as endure multiple pressures such as societal scrutiny and financial burdens.

Examining the impact of design-comparable effect size on the analysis of single-case design in special education.

Initially excluded from many evaluations of education research, single-case designs have recently received wider acceptance within and beyond special education. The growing approval of single-case design has coincided with an increasing departure from convention, such as the visual analysis of results, and the emphasis on effect sizes comparable with those associated with group designs. The use of design-comparable effect sizes by the What Works Clearinghouse has potential implications for the experimental literature in special education, which is largely composed of single-case designs that may not meet the assumptions required for statistical analysis.

Predictive processing of music and language in autism: Evidence from Mandarin and English speakers.

Atypical predictive processing has been associated with autism across multiple domains, based mainly on artificial antecedents and consequents. As structured sequences where expectations derive from implicit learning of combinatorial principles, language and music provide naturalistic stimuli for investigating predictive processing. In this study, we matched melodic and sentence stimuli in cloze probabilities and examined musical and linguistic prediction in Mandarin- (Experiment 1) and English-speaking (Experiment 2) autistic and non-autistic individuals using both production and perception tasks.

Resolving syntactic-semantic conflicts: comprehension and processing patterns by deaf Chinese readers.

The current study combined sentence plausibility judgment and self-paced reading tasks to examine the comprehension strategies and processing patterns of Chinese deaf individuals when comprehending written Chinese sentences with syntactic-semantic cue conflicts. Similar to findings from previous crosslinguistic studies on deaf readers, the Chinese deaf readers showed great variability in their comprehension strategies, with only 38% robustly relying on syntactic cues. Regardless of their overall comprehension preferences, the deaf readers all showed additional processing efforts as reflected by longer reading time at the verb regions when they relied on the syntactic cues.

Integrative analysis of metabolism subtypes and identification of prognostic metabolism-related genes for glioblastoma.

Increasing evidence has demonstrated that cancer cell metabolism is a critical factor in tumor development and progression; however, its role in glioblastoma (GBM) remains limited. In the present study, we classified GBM into three metabolism subtypes (MC1, MC2, and MC3) through cluster analysis of 153 GBM samples from the RNA-sequencing data of The Cancer Genome Atlas (TCGA) based on 2752 metabolism-related genes (MRGs). We further explored the prognostic value, metabolic signatures, immune infiltration, and immunotherapy sensitivity of the three metabolism subtypes.

ITGB2 fosters the cancerous characteristics of ovarian cancer cells through its role in mitochondrial glycolysis transformation.

Related studies have shown that ITGB2 mediates mitochondrial glycolytic transformation in cancer-associated fibroblasts and participates in tumor occurrence, metastasis and invasion of cancer cells. Based on these studies, we tried to construct a mitochondrial glycolysis regulatory network and explored its effect on mitochondrial homeostasis and ovarian cancer cells' cancerous characteristics. Our research revealed a distinct increase in the expression of ITGB2 and associated signaling pathway elements (PI3K-AKT-mTOR) in cases of ovarian cancer.

The impact of scope-of-practice restrictions on access to medical care.

We study the impact of scope-of-practice laws in a highly regulated and important policy setting, the provision of medication-assisted treatment for opioid use disorder. We consider two natural experiments generated by policy changes at the state and federal level that allow nurse practitioners more practice autonomy. Both experiments show that liberalizations of prescribing authority lead to large improvements in access to care.

Who benefits from the basic old-age insurance contribution subsidy policy for the disabled?

The aim of this paper is to track the whereabouts of basic old-age insurance (BOI) contribution subsidies. Little research has paid attention to the misalignment between the implementation objects of subsidy policies and the actual beneficiaries. In recent years, local governments in China have followed a contribution subsidy policy to help persons with disabilities (PWDs) with lower life expectancies.

FAFuse: A Four-Axis Fusion framework of CNN and Transformer for medical image segmentation.

Medical image segmentation is crucial for accurate diagnosis and treatment in the medical field. In recent years, convolutional neural networks (CNNs) and Transformers have been frequently adopted as network architectures in medical image segmentation. The convolution operation is limited in modeling long-range dependencies because it can only extract local information through the limited receptive field.

The average life expectancy of persons with disabilities in China.

The average life expectancy (ALE) of persons with disabilities (PWDs) is much shorter than that of the total population in many countries. However, there have been relatively few empirical studies on the ALE of PWDs in China. This study estimates the ALE and compiles the life tables of PWDs in China using data on 1,359,812 PWDs registered in the Special Surveys of Basic Services and Needs of the Disabled (SSBSND) in K Province in China from 2015 to 2017.

The effect of Banxia-houpo decoction on CUMS-induced depression by promoting M2 microglia polarization via TrkA/Akt signalling.

It has been reported that Banxia-houpo decoction (BXHPD) serves as the anti-depressant treatment for a mild and severe depressive disease with limited side effects. The present study was performed to evaluate the protective effect of BXHPD on chronic unpredicted mild stress (CUMS)-induced depression and explore its effect on TrkA/Akt-mediated microglia polarization. The CUMS procedure was carried out, and the mice were intragastrically treated with BXHPD once daily.

Deep Learning for Medical Image-Based Cancer Diagnosis.

(1) Background: The application of deep learning technology to realize cancer diagnosis based on medical images is one of the research hotspots in the field of artificial intelligence and computer vision. Due to the rapid development of deep learning methods, cancer diagnosis requires very high accuracy and timeliness as well as the inherent particularity and complexity of medical imaging. A comprehensive review of relevant studies is necessary to help readers better understand the current research status and ideas.

The form and function processing of lexical tone and intonation in tone-language-speaking children with autism spectrum disorder.

Studies on how the form versus function aspect of tone and intonation is processed by autistic individuals have mainly focused on speakers of non-tonal languages (e.g., English) with equivocal results.

A Survey on Artificial Intelligence in Posture Recognition.

Over the years, the continuous development of new technology has promoted research in the field of posture recognition and also made the application field of posture recognition have been greatly expanded. The purpose of this paper is to introduce the latest methods of posture recognition and review the various techniques and algorithms of posture recognition in recent years, such as scale-invariant feature transform, histogram of oriented gradients, support vector machine (SVM), Gaussian mixture model, dynamic time warping, hidden Markov model (HMM), lightweight network, convolutional neural network (CNN). We also investigate improved methods of CNN, such as stacked hourglass networks, multi-stage pose estimation networks, convolutional pose machines, and high-resolution nets.