Unpacking the Dynamics of AI-Based Language Learning: Flow, Grit, and Resilience in Chinese EFL Contexts.

Artificial intelligence and positive psychology play crucial roles in education, yet there is limited research on how these psychological factors influence learners' use of AI, particularly in language education. Grounded in self-determination theory, this study investigates the factors influencing Chinese English learners' intention to use AI for language learning. Utilizing structural equation modeling, this research examines the mediating roles of grit, flow, and resilience in the relationship between basic psychological needs and the intention to use AI.

Differentiating Pond-Intensive, Paddy-Ecologically, and Free-Range Cultured Crayfish () Using Stable Isotope and Multi-Element Analysis Coupled with Chemometrics.

The farming pattern of crayfish significantly impacts their quality, safety, and nutrition. Typically, green and ecologically friendly products command higher economic value and market competitiveness. Consequently, intensive farming methods are frequently employed in an attempt to replace these environmentally friendly products, leading to potential instances of commercial fraud.

Acupuncture for the treatment of anxiety and depression in patients with spinal cord injury: A study protocol for systematic review and meta analysis.

Background: Spinal cord injury patients frequently suffer from anxiety and depression, which can seriously affect their quality of life and recovery. Acupuncture, as a traditional Chinese therapy, has been used to treat anxiety and depression for more than 2000 years. The aim is to evaluate the clinical efficacy of acupuncture in the treatment of anxiety and depression in spinal cord injury patients.

Mediating role of inner strength in the relationship between medication literacy and medication adherence among kidney transplant patients.

Objectives: Compared with long-term renal replacement therapy, kidney transplantation is the ideal treatment for end-stage renal disease (ESRD), significantly extending patient life and improving quality of life. Kidney transplant patients need to adhere to lifelong immunosuppressive medication regimens, but their medication adherence is generally poor compared with other organ transplant recipients. Medication adherence is closely related to medication literacy and psychological status, yet related studies are limited.

Responses of biomarkers, joint effect and drilosphere bacterial communities to antimony (III and/or V) contamination.

Contamination of soils with antimony (Sb) is becoming increasingly severe and widespread, and the associated ecological risks cannot be ignored. To evaluate how different Sb forms affected the earthworm in soil, the biomarker response index (BRI), effect addition index (EAI), and microbial diversity were characterized after single and joint application of Sb(III) and Sb(V). The results showed that Sb(III) was better enriched by earthworms than Sb(V).

Establishing the reliability of metrics extracted from long-form recordings using LENA and the ACLEW pipeline.

Long-form audio recordings are increasingly used to study individual variation, group differences, and many other topics in theoretical and applied fields of developmental science, particularly for the description of children's language input (typically speech from adults) and children's language output (ranging from babble to sentences). The proprietary LENA software has been available for over a decade, and with it, users have come to rely on derived metrics like adult word count (AWC) and child vocalization counts (CVC), which have also more recently been derived using an open-source alternative, the ACLEW pipeline. Yet, there is relatively little work assessing the reliability of long-form metrics in terms of the stability of individual differences across time.

Synergies quantification and evolution on air pollutant and CO emissions driven by different socio-economic effects.

Realizing a synergistic reduction of air pollutant and CO emissions (APCE) is an important approach to promote a green socio-economic transformation in China, and it can provide a solid foundation for the achievement of clean energy production and climate action under a sustainable development goal framework. The objective of this study is to explore the quantitative relationship and evolution of synergies between APCE in industrial sectors driven by different socio-economic effects from 2007 to 2020 in China. The results indicated that the main sectors of pollutant emissions had consistency, however, large differences in the reduction efficiency of emissions exist among pollutants.

Patient Autonomy in Medical Education: Navigating Ethical Challenges in the Age of Artificial Intelligence.

The increasing integration of Artificial Intelligence (AI) in the medical domain signifies a transformative era in healthcare, with promises of improved diagnostics, treatment, and patient outcomes. However, this rapid technological progress brings a concomitant surge in ethical challenges permeating medical education. This paper explores the crucial role of medical educators in adapting to these changes, ensuring that ethical education remains a central and adaptable component of medical curricula.

Dynamic protected states in the non-Hermitian system.

The non-Hermitian skin effect and nonreciprocal behavior are sensitive to the boundary conditions, which are unique features of non-Hermitian systems. In such systems, eigenenergies can become complex, and all eigenstates tend to localize at the boundary, a phenomenon that contrasts with Hermitian topologies. In this work, we theoretically study the dynamic behavior of the propagation of Gaussian wavepackets inside a non-Hermitian lattice and analyze the self-acceleration process of bulk state or Gaussian wavepackets toward the system's boundary.

Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review.

Objective: The objective of our research is to conduct a comprehensive review that aims to systematically map, describe, and summarize the current utilization of artificial intelligence (AI) in the recruitment and retention of participants in clinical trials.

Materials And Methods: A comprehensive electronic search was conducted using the search strategy developed by the authors. The search encompassed research published in English, without any time limitations, which utilizes AI in the recruitment process of clinical trials.

Post-Treatment Experiences of Reproductive Concerns Among Young Breast Cancer Survivors: A Descriptive Phenomenological Study.

Purpose: The long-term fertility impact of cancer treatments is a significant concern for young breast cancer survivors. These reproductive concerns often become a persistent source of stress, negatively affecting their quality of life. This study aims to explore the reproductive concerns experienced by young breast cancer survivors post-treatment and the factors influencing their perceptions.

Does service-oriented manufacturing improve customer stability?

Stabilizing customer relationships plays an important role in improving supply chain resilience. Based on a sample of A-share listed companies in the manufacturing industry from 2009 to 2022, this work investigates the impact of SOM(service-oriented manufacturing) on supply chain resilience from the perspective of customer stability. The results showed that SOM has a positive impact on customer relationship stability, indicating that manufacturing enterprises carrying out SOM can improve customer relationship stability, and this stable relationship is long lasting.

Prochloraz induced alterations in the expression of mRNA in the reproductive system of male offspring mice.

Prochloraz is a widely used fungicide worldwide. It is classified as an endocrine disrupting pesticide that affects the reproductive system. This study aimed to examine the impact of exposure to prochloraz of male mice on the reproductive system of their offspring male mice.

Quantitative assessment of human motion for health and rehabilitation: A novel fuzzy comprehensive evaluation approach.

In the pursuit of advancing health and rehabilitation, the quintessence of human motion recognition technology has been underscored through its quantitative contributions to physical performance assessment. This research delineates the inception of a novel fuzzy comprehensive evaluation-based recognition method that stands at the forefront of such innovative endeavours. By synergistically fusing multi-sensor data and advanced classification algorithms, the proposed system offers a granular quantitative analysis with implications for health and fitness monitoring, particularly rehabilitation processes.

Modulation of audiovisual integration in the left and right sides: effects of side and spatial coherency.

Background: Using event-related potentials (ERPs), we aimed to investigate audiovisual integration neural mechanisms during a letter identification task in the left and right sides. Unimodal (A,V) and bimodal (AV) stimuli were presented on either side, with ERPs from unimodal (A,V) stimuli on the same side being compared to those from simultaneous bimodal stimuli (AV). Non-zero results of the AV-(A + V) difference waveforms indicated audiovisual integration on the left/right side.

First Report of Leaf Spot Caused by on Chard ( var. L.) in China.

Chard ( var. L.) is popular vegetable in China.

Fine-mapping across diverse ancestries drives the discovery of putative causal variants underlying human complex traits and diseases.

Genome-wide association studies (GWAS) of human complex traits or diseases often implicate genetic loci that span hundreds or thousands of genetic variants, many of which have similar statistical significance. While statistical fine-mapping in individuals of European ancestry has made important discoveries, cross-population fine-mapping has the potential to improve power and resolution by capitalizing on the genomic diversity across ancestries. Here we present SuSiEx, an accurate and computationally efficient method for cross-population fine-mapping.

Evaluating the efficiency of online course resource allocation in universities of China.

Curriculum is the core element of talent cultivation in universities, and its quality directly determines that of the talent cultivation. However, the efficiency of online course resource allocation in universities of China is unacceptable, and the corresponding driving mechanisms are unclear. Based on the data of iCourses platform for a top university (H University) of China, this paper develops the DEA-Malmquist index and Tobit regression model to evaluate the efficiency of university online course resource allocation and explore its main influencing factors.

Recognition of Emotional Prosody in Mandarin-Speaking Children: Effects of Age, Noise, and Working Memory.

Age, babble noise, and working memory have been found to affect the recognition of emotional prosody based on non-tonal languages, yet little is known about how exactly they influence tone-language-speaking children's recognition of emotional prosody. In virtue of the tectonic theory of Stroop effects and the Ease of Language Understanding (ELU) model, this study aimed to explore the effects of age, babble noise, and working memory on Mandarin-speaking children's understanding of emotional prosody. Sixty Mandarin-speaking children aged three to eight years and 20 Mandarin-speaking adults participated in this study.