External Regulation Research Articles

Rational synthesis of FeWO4 nanozyme with sonopiezoelectric and co-catalytic activity for colorimetric detection of deferiprone

Colorimetric sensing based on nanozyme has been extensively applied in the field of biosensing. The analysis time and detection sensitivity depend on the activity of nanozyme. At present, the methods of traditional regulating the activity of nanozyme mainly include internal and external regulation. However, it is still a challenge for internal and external stimuli to coordinate the regulation of nanozyme activity. Both piezoelectricity and co-catalysis can expedite the rate limiting step (Fe3+/Fe2+cycle) of the Fenton reaction hence facilitating the peroxidase-like (POD-like) activity of nanozyme. In this study, we synthesized FeWO4 nanorod that possess sonopiezoelectric and co-catalytic properties. The Fe3+/Fe2+ cycle of FeWO4 nanorods can be boosted by the internal Fe, W co-catalytic reaction and the external ultrasound stimuli generated e−. Deferiprone (DFP), a small molecule of iron chelating agent, is used clinically to chelate excess iron in thalassemia patients. It can specifically inhibit the POD-like activity of the iron-based nanozyme due to coordination with Fe. Based on the above principles, we constructed a colorimetric sensing platform based on FeWO4 nanozyme for colorimetric detection of DFP in urine of thalassemia patients. The linear range, limit of detection and recovery of the developed colorimetric sensing method based on FeWO4 nanozyme platform are 0.1–5 μM, 0.05 μM and 97.4 % − 105.4 %, respectively. This work not only promotes the development of the method to regulate the activity of nanozyme, but also provides a simple method for the monitoring of DFP.

Exploring the gendered experiences of Australian tennis coaches: A cross-sectional survey of women and men tennis coaches

ABSTRACT Women remain underrepresented in tennis coaching roles in Australia. This study aimed to examine the factors (barriers and facilitators) that may underlie gendered experiences in sport coaching and their links to retention in the profession, through the lens of Self-determination Theory. An online survey assessed barriers to coaching (individual, interpersonal, organisational and socio-cultural levels), coaching motivation and social support for coaching. Participants also completed measures of coach retention (coaching commitment, intentions to continue coaching). The survey was completed by 243 Australian tennis coaches (Mage = 49.5 ± 16.4 years, 35.8% women). The findings indicated that women coaches perceived experiencing significantly more socio-cultural barriers (e.g. discrimination, marginalisation) than their men counterparts. Fewer women (41.4%) than men (55.8%) intended to remain in the profession long-term (>10 years). Regression analyses did not reveal any predictors of retention among women coaches. In men, integrated regulation (β = 0.22, p = .036) and amotivation (β = -0.24, p = .010) predicted coaching commitment. Interpersonal barriers (OR = 0.27, p = .038), external regulation (OR = 0.68, p = .023) and amotivation (OR = 0.72, p = .040) predicted male’s intentions to exit the profession sooner. This study sheds light on the factors that shape the experiences of sport coaches. Ongoing efforts to support the retention of women in sport coaching are necessary and may include challenging socio-cultural barriers.

The relationship between perceived teacher relatedness-support behavior (RSB) and learning motivation of dancesport students in universities.

The motivational process of physical education (PE) in schools is significantly influenced by social factors, as demonstrated by a number of research based on self-determination theory (SDT). As a proximal factor affecting students' learning motivation, the relatedness support of dancesport teachers plays a key role in promoting the learning motivation and sustainable development of dancesport students. This research aims to test the validity of the second-order model of perceived teacher relatedness support behavior (RSB) and investigate how students' perceptions of their professional teachers directly or indirectly predicted their motivation to learn dancesport. To validate the relationship between the higher-order model and perceived teacher RSB among dancesport majors, this study used the structural equation modeling method for validation and 302 undergraduates majoring in dancesport participated in this investigation. The results showed that students' perceived teacher relatedness support was positively related to intrinsic, integrated, identified, and introjected regulations during dancesport learning and negatively related to external regulation and amotivation. These findings revealed the importance of teacher RSB in dancesport. And this study provides a practical reference for improving the teaching effectiveness of dancesport in universities, promoting harmonious teacher-student relationships, and inspiring students' learning motivation in dancesport. At the same time, it also lays a research foundation for the reform of dancesport teaching in universities and the system of dancesport talent training programs.

Unlocking Insights: Harnessing Primary School Children's Experiences and Reflections on Emergency Remote Learning to Shape K-12 e-Learning in the Post-Pandemic Era

The study aimed to investigate the impact of the COVID-19 pandemic on primary education in Cyprus and to discern the implications for the post-pandemic era, specifically focusing on the Emergency Remote Learning (ERL) experiences and reflections of upper primary students (ages 9-12). Grounded in socio-constructivist learning theory, which emphasizes the importance of active student engagement and social interaction in the learning process, the research explored the challenges students faced during the rapid shift to remote education. A mixed-methods design was employed, using an in-depth online survey that incorporated both quantitative and qualitative questions. Data were collected from a sample of 204 students selected through non-probability, convenience sampling. The analysis revealed that students experienced several challenges, including technology constraints, lack of interaction, and difficulty maintaining concentration, which are consistent with global findings on K-12 ERL. Among demographic factors, the type of school attended (public vs. private) had a significant influence on most aspects of students' ERL experience. Private school students reported more favourable conditions than their public school counterparts, which facilitated a smoother shift to both asynchronous and synchronous ERL, resulting in a more positive overall ERL experience. Regardless of the type of school attended, students overwhelmingly expressed a strong preference for face-to-face learning. Comparisons with other studies conducted in Cyprus during the same period involving older student age cohorts suggest significant age-related differences. The young students in our study encountered greater challenges during the transition to ERL, which can be attributed to their heightened need for scaffolding and external regulation to learn in the virtual space, as well as the higher importance they attached to the social aspects of school life taken away by ERL. Despite their largely negative experiences with ERL, a high proportion of the children advocated integrating the e-learning tools and technologies they got acquainted with during ERL into the normal context of schooling. These findings underscore the importance of further research into effective instructional strategies tailored to young learners in both online and blended learning settings. They also highlight the potential benefits of incorporating e-learning tools into conventional classrooms to enhance the teaching and learning process.

Digital transformation, environmental regulation and enterprises' ESG performance: Evidence from China

AbstractCompany's digital transformation and Environmental, social, and governance (ESG) performance are crucial for their development, but there is little literature that considers whether and how digital transformation improve ESG performance, the impact of environmental regulations is also easily overlooked, we attempt to fill this gap. Based on data related to Chinese listed enterprises from 2011 to 2020, we focus on the internal digital transformation of enterprises, analyze and empirically test the direct and mediating influence of digital transformation on enterprises' ESG performance, as well as the moderating effect of external environmental regulations. The results show that digital transformation improves ESG performance. Heterogeneity analysis found that digital transformation had different impacts on different dimensions of enterprise ESG performance. Further analysis indicates that enterprises' green innovation and labor demand play a mediating role in the relationship between enterprises' digital transformation and ESG performance. Regional formal environmental regulation and informal environmental regulation moderates the path of firms' digital transformation promoting green innovation level to enhance ESG performance. This paper provides micro evidence in China for exploring the improvement of enterprises' ESG performance and provides relevant ideas for understanding the effect of digital transformation.

Topic modelling as a method for framing analysis of news coverage of the Russia-Ukraine war in 2022–2023

This study critically analyses the representation of the Russia-Ukraine war in Western (the Euronews) and Eastern (the Kyiv Post) media discourses. It examines how media organisations shape narratives through strategic framing. Employing the Natural Language Processing technique – Topic Modelling – with a generative probabilistic model LDA and a transformer-based language model BERT, the study reveals generic frames elaborated by more specific extensions, shedding light on media portrayal of economy, public opinion, security & defence, external regulations, policy evaluation, and health & safety sectors. Through Named Entity Recognition with roBERTa, Sentiment Analysis with distilBERT, and Corpus Linguistics methods with LancsBox X, interpretation of these overarching frames provides a comprehensive analysis of the nuances in narratives, societal perceptions and policy decisions amidst the ongoing war.

Development and validation of the self-regulation of blood donation scale for blood donors

BackgroundBecause knowledge of blood donor motivation is crucial in guiding recruitment and retention efforts, the present study aimed at developing and validating a new scale as a multidimensional measure of blood donation motivation from the perspective of the self- determination theory. MethodsThis study was conducted in three phases from September 2022 to May 2023. The first phase involved developing a draft scale based on a literature review. In the second phase, face and content validity were performed. The third phase used a cross-sectional design to assess the construct validity and internal consistency of the initial scale following administration to blood donors with a history of at least one previous whole blood donation who visited the largest blood transfusion center in Iran. Of the 420 subjects who were recruited using a mixed sampling method, 343 who fully completed the initial version of the scale were subjected to an construct validity assessment using exploratory factor analysis with Equamax rotation and internal consistency using McDonald's omega coefficient. Main resultsThe initial version of the scale consisted of 30 survey items with both a content validity ratio and a content validity index of 0.99. Exploratory factor analysis identified 24 items; grouped in six regulation factors (non-regulation, external regulation, introjected regulation, identified regulation, integrated regulation, and intrinsic regulation). The factors demonstrated adequate internal consistency with ω values ranging from 0.60 to 0.79. ConclusionThe present study provides psychometric support for the newly developed questionnaire to evaluate donation motivation among blood donors in Iran or in other countries with similar language, and religious and cultural values.

Boundary-work of genomic medicine: safeguarding the future of diagnostic next-generation sequencing in the clinic

Next-generation sequencing (NGS) technologies – which allows to look at large parts or even the whole genome at once - are making their way into diagnostic clinical care. With trends towards ‘mainstreaming’ genetic services into general medicine, significant ethical challenges, and a disputed clinical utility and cost-benefit ratio, genomic medicine’s autonomy and dominance in defining and offering NGS care may come under increased pressure from the outside (e.g., regulators, other healthcare providers and facilities, ethicists, and patients). In this paper, we show how the field of genomic medicine engages in substantial boundary work in reaction to these circumstances. Building on multi-sited fieldwork in two centres for human genetics in Belgium and the Netherlands, we show how acts of demarcation serve to uphold an image of expertise and authority which helps to maintain the field’s autonomy and dominance. Through examining the delineations put forward in interviews, practice (based on observations in multidisciplinary meetings and consultations), and grey and academic literature, we show the politics involved in moving NGS forward fairly seamlessly in a way that suits the field. First, we show how genetic healthcare professionals have redefined what makes a genetic test ‘valuable’ so that it underlines its current value. Secondly, we examine how a genetic imaginary is put forward that both emphasizes the extraordinary character of genomic medicine and the normalcy of NGS testing. By underlining the need for their expertise whilst simultaneously normalizing the ethical challenges and positioning themselves as most capable of reflecting on these, the field minimized external regulation and kept a close grip on defining ethical issues and policy. Despite their current dominance in shaping the future of genomic care, we argue that the closedness of the field hinders it in benefiting from external expertise, reflection and monitoring to ensure enduring and broad support for this future.

Contemporary Approaches to Wound Burn Healing

The World Health Organization (WHO) reports that over 11 million individuals get burns annually, resulting in 180,000 fatalities. A burn is a condition resulting by heat, chemical agents, electrical currents, or other forces that inflict tissue damage. Burns primarily impact the skin, however they may also include deeper structures, including bones and muscles. Upon combustion, the skin forfeits its primary functions, including protection against the external environment, infections, moisture evaporation, and thermal regulation. Based on the burn's stage, the patient's health, and the burn's etiology, it is essential to choose the most suitable therapy. Personalization and interdisciplinary teamwork are essential for the effective therapy of burn victims. This thorough study compiles and examines the existing treatment modalities, emphasizing current advancements in topical therapies, wound debridement, dressings, skin grafting, nutritional support, pain management, and scar tissue therapy.

Does bank FinTech spur productivity of SMEs?

ABSTRACT Financial technology (FinTech) has promoted the popularization of intelligent banking services and profoundly impacted the development of small and medium-sized enterprises (SMEs). Based on manually collected over 20,000 data on FinTech patents of banks and data from Chinese A-share listed firms in the Growth Enterprise Market board from 2010 to 2020, we investigate the effects of Bank FinTech on the total factor productivity (TFP) of SMEs. Our results demonstrate that Bank FinTech significantly boosts the TFP of SMEs. The conclusion remains unchanged after conducting a series of robustness tests. Furthermore, we find that strengthening external financial regulation and internal digitalization in SMEs enhance the driving effect of FinTech on the TFP of SMEs. Moreover, heterogeneity analysis indicates that Bank FinTech is particularly beneficial for promoting TFP in non-state-owned SMEs, SMEs with large sizes and old age, and SMEs in the East and with dense bank branches. Our research offers empirical evidence on how Bank FinTech influences SMEs’ production efficiency, which is crucial for the technological catch-up of SMEs and for enhancing the ability of Bank FinTech to serve the real economy.

Examining the link between exercise motivation and preferred exercise setting in college students

Introduction: This study examined differences in self-determined motivation between those who prefer to exercise outdoors vs indoors. These differences could foster targeted applications of Self-Determination Theory to develop intrinsic exercise motivation. Participants: n = 506 students attending a mid-size four-year university in the southeastern United States participated. Methods: This was a cross-sectional study using a modified version of the Exercise Motivations Inventory (EMI-2). Results: Using exploratory and confirmatory factor analysis, three exercise motivations were identified: intrinsic, extrinsic, and social. Using structural equation modeling, we found higher extrinsic motivation was associated with indoor exercise preference, whereas higher social motivation was associated with outdoor exercise preference. Discussion: This study revealed exercise setting as a possible contributing factor for self-determined motivation. Those who prefer to exercise indoors may be at higher risk of strengthening external regulation. Interventions that support psychological needs may help foster self-determined exercise motivation among college students.

A Tunable Long Duration Pulse Generation Circuit in Mammalian Cells.

Pulse generator circuits based on incoherent feed-forward logic have been developed in bacterial, yeast, and mammalian systems but are typically limited to production of short pulses lasting less than 1 day. To generate longer-lasting pulses, we introduce a feedback-based topology that induces multiday pulsatile gene expression with tunable duration and amplitude in mammalian cells. We constructed the circuit using the PERSIST platform, which consists of entirely post-transcriptional logic, because our experience suggests that this approach may attenuate long-term epigenetic silencing. To enable external regulation of PERSIST regulatory elements, we engineered inducer-stabilized CRISPR endoRNases that respond to FDA-approved drugs, generating small molecule responses with greater than 20-fold change. These inducer-responsive proteins were connected to a two-state cross-repression positive feedback topology to generate the pulse generator circuit architecture. We then optimized circuit design through chromosomal integration of circuit components at varying stoichiometries, resulting in a small library of circuits displaying tunable pulses lasting between two and 6 days in response to a single 24 h input of inducer. We expect that the small molecule-stabilized PERSIST proteins developed will serve as valuable components in the toolbox for post-transcriptional gene circuit development and that tunable post-transcriptional pulse generator circuits in mammalian cells will enable study of endogenous hysteretic gene networks and support advances in cell therapies and organoid engineering.

MOTIVATION AND SELF-REGULATION OF LEARNING IN HOMESCHOOLED STUDENTS

In the context of education, motivation and self-regulation of learning are dominant issues. The degree of intrinsic and extrinsic motivation to learn is related to students’ academic achievement and literacy development. This study aimed to research the regulatory styles and motivation to learn among homeschooled students, with a particular focus on those who practice unschooling, a form of self-directed learning. A quantitative research strategy was employed, and data were collected using the standardised SQR-Academic questionnaire adapted for the homeschooling context. The questionnaire was completed by 143 homeschooled children (4th to 9th grade), of whom 10.88% reported engaging in unschooling or self-directed learning. The results indicated that identified regulation was prevalent among homeschooled students, who tended to exhibit intrinsic rather than extrinsic motivation. This contrasts with full-time attending students, who generally display a more external regulation style. Among unschoolers, identified regulation was equally prevalent, but the Relative Autonomy Index (RAI) values were higher, indicating a stronger inclination towards intrinsic motivation. Despite these differences in RAI between unschoolers and other homeschoolers, the differences were not statistically significant. The findings are consistent with relevant research from other countries. Future research should explore the factors that influence the degree of intrinsic and extrinsic motivation in homeschooled students. Keywords: homeschooled students, intrinsic motivation, lower secondary education students, primary education students, regulation of learning, unschooled students

Exploring the Relationships among Perceived Teacher’s Autonomy Support, Motivational Regulations, and Social-Emotional Outcomes

The present study examined the relationships among perceived teacher’s autonomy support, four motivational regulations (external, introjected, identified, intrinsic), and four social-emotional outcomes (self-efficacy, resilience, test anxiety, and perceived stress). A total of 130 primary students aged between 10 and 11 (M = 10.36; SD = 0.48) were recruited in Singapore. In particular, the mediating effects of four motivational regulations in the relationship between teacher’s autonomy support and social-emotional outcomes were tested using bootstrapping method. Results of the study indicated that external regulation and intrinsic motivation were two mediators between teacher’s autonomy support and test anxiety. Surprisingly, introjected regulation was positively associated with test anxiety and perceived stress and functioned as a significant mediator between teacher’s autonomy support and test anxiety and perceived stress. Teacher’s autonomy support may serve as a potential approach to develop students’ positive social-emotional outcomes such as self-efficacy and resilience while reduce negative social-emotional influences such as test anxiety and stress through activating students’ motivational resources. The present study provides novel insights into the relationships between SDT and four social-emotional outcomes by considering the four types of motivational regulation as mediators to investigate the effects of perceived teacher’s autonomy support on students’ SEL-related outcomes.

Engineering Functional Particles to Modulate T Cell Responses.

T cells play a critical role in adaptive immune responses. They work with other immune cells such as B cells to protect our bodies when the first line of defense, the innate immune system, is overcome by certain infectious diseases or cancers. Studying and regulating the responses of T cells, such as activation, proliferation, and differentiation, helps us understand not only their behavior in vivo but also their translation and application in the field of immunotherapy, such as adoptive T cell therapy and immune checkpoint therapy, the situations in which T cells cannot fight cancer alone and require external engineering regulation to help them. Nano- to micrometer-sized particulate biomaterials have achieved great progress in the assistance of T cell-based immunomodulation. For example, various types of microparticles decorated with T cell recognition and activation signals to mimic native antigen-presenting cells have shown successful ex vivo expansion of primary T cells and have been approved for clinical use in adoptive T cell therapy. Functional particles can also serve as vehicles for transporting cargos including small molecule drugs, cytokines, and antibodies. Especially for cargos with limited bioavailability and high repeat-dose toxicity, systemic administration in their free form is difficult. By using particle-assisted systems, the delivery can be tailored on demand, of which targeting and controlled release are two typical examples, ultimately aiding in the regulation of T cell responses. Furthermore, when T cells become overactive and behave in ways that contradict our expectations, such as attacking our own cells or innocuous foreign molecules, this can lead to a breakdown of immune tolerance. In such cases, particles to help reprogram those overactive T cells or suppress their activity are appreciated in vivo. The urgent need to introduce immune stimulation into the treatment of cancers, infectious diseases, and autoimmune diseases has driven recent advances in the engineering of functional particulate biomaterials that regulate T cell responses. In this Account, we will first cover a brief overview of the process of T cell-based immunomodulation from principle to development. It then outlines critical points in the design of functional particle platforms, including materials, size, morphology, surface engineering, and delivery of cargos, to modulate the features of T cells, and introduces selected work from our and other research groups with a focus on three major therapeutic applications: adoptive T cell therapy, immune checkpoint therapy, and immune tolerance restoration. Current challenges and future opportunities are also discussed.

Enhancing capacity utilization of Li|LiCl-KCl-CsCl|Bi (300 °C) liquid metal batteries through the application of external magnetic fields

Long-cycle-life, high-safety liquid metal batteries (LMBs) are considered competitive alternatives for large-scale energy storage applications. LMBs typically operate at high temperatures, and reducing their operating temperature has been a focus of research. In this study, we adopt a multi-cation molten salt LiCl-KCl-CsCl as the electrolyte for LMBs and achieve the stable operation of Li|LiCl-KCl-CsCl|Bi battery at 300 °C for the first time. However, the lower operating temperature significantly deteriorates the kinetic performance, resulting in a capacity utilization of only about 30 %. To address this issue, we apply a certain intensity of magnetic field to the battery using Helmholtz coils, which increases the capacity utilization to 100 %. This study combines the strategy of low-temperature LMBs with external magnetic field regulation, not only achieving a low operating temperature but also ensuring complete capacity release. Furthermore, this approach paves the way for the potential use of permanent magnets within battery modules to provide the magnetic field environment, without the risk of demagnetization.

Proactive conformance checking: An approach for predicting deviations in business processes

Modern business processes are subject to an increasing number of external and internal regulations. Compliance with these regulations is crucial for the success of organizations. To ensure this compliance, process managers can identify and mitigate deviations between the predefined process behavior and the executed process instances by means of conformance checking techniques. However, these techniques are inherently reactive, meaning that they can only detect deviations after they have occurred. It would be desirable to detect and mitigate deviations before they occur, enabling managers to proactively ensure compliance of running process instances. In this paper, we propose Business Process Deviation Prediction (BPDP), a novel predictive approach that relies on a supervised machine learning model to predict which deviations can be expected in the future of running process instances. BPDP is able to predict individual deviations as well as deviation patterns. Further, it provides the user with a list of potential reasons for predicted deviations. Our evaluation shows that BPDP outperforms existing methods for deviation prediction. Following the idea of action-oriented process mining, BPDP thus enables process managers to prevent deviations in early stages of running process instances.

Maturational changes in frontal EEG alpha and theta activity from infancy into early childhood and the relation with self-regulation in boys and girls

There is increasing interest in examining the development of frontal EEG power in relation to self-regulation in early childhood. However, the majority of previous studies solely focuses on the brain’s alpha rhythm and little is known about the differences between young boys and girls. The aim of the current study was therefore to gain more insight into the neural mechanisms involved in the emergence of self-regulation. The sample consisted of 442 children and data were collected at approximately 5 months, 10 months, and around 3 years of age. Latent growth curve models indicated that,while the neurobiological foundations of self-regulation are established during infancy,it is the maturation of the frontal alpha rhythm that contributes to variations in both observed and parent-reported self-regulation. In addition, it appears that boys might have a greater reliance on external regulation than girls during early childhood, as evident by higher scores of girls on both measures of self-regulation. More insight into the role of external regulators in brain maturation can help to implement interventions aimed at establishing bottom-up self-regulatory skills early in life, in order to provide the necessary foundations for the emergence of top-down self-regulatory skills in the preschool period.

Attrition of older adults in web-based health interventions: Survival analysis within an observational cohort study.

To identify demographics and personal motivation types that predict dropping out of eHealth interventions among older adults. We conducted an observational cohort study. Participants completed a pre-test questionnaire and got access to an eHealth intervention, called Stranded, for 4 weeks. With survival and Cox-regression analyses, demographics and types of personal motivation were identified that affect drop-out. Ninety older adults started using Stranded. 45.6% participants continued their use for 4 weeks. 32.2% dropped out in the first week and 22.2% dropped out in the second or third week. The final multivariate Cox-regression model which predicts drop-out, consisted of the variables: perceived computer skills and level of external regulation. Predicting the chance of dropping out of an eHealth intervention is possible by using level of self-perceived computer skills and level of external regulation (externally controlled rewards or punishments direct behaviour). Anticipating to these factors can improve eHealth adoption.

Ultrasonic-magnetic coupling field preparation microstructure and properties of in-situ nano-(ZrB2+Al2O3)/6016Al composites

In this paper, an in-situ reaction system of 6016Al-Na2B4O7-K2ZrF6 was designed, and (Al2O3+ZrB2)np/6016Al in-situ dual-phase nanoparticles reinforced composites with a volume fraction of 4 vol% were prepared using the DMR method and ultrasonic-magnetic coupling field modulation. The effects of ultrasonic-magnetic coupling field regulation on the microstructure and mechanical properties of the composites were studied by XRD, Polarization, SEM, EDS, and tensile tests at room temperature and high temperature. The results show that the 6016Al-Na2B4O7-K2ZrF6 in-situ reaction system can successfully prepare in-situ dual-phase nanoparticles ZrB2 and Al2O3 with an average size of about 79.8 nm and 47.4 nm. Under the ultrasonic-magnetic coupling field, the number of particle clusters is significantly reduced, and the matrix α-Al grain size of the composite material is refined and maintained in an equiaxed state. The α-Al grain size is 63.48 μm, 55.5 % lower than the 6016Al matrix grain size. After ultrasonic-magnetic coupling field regulation, the comprehensive mechanical properties of the composite are greatly improved. The work hardening index reach 0.42, and the yield strength, tensile strength, elongation, and hardness values reach 241.27 MPa, 295.22 MPa, 23.32 %, and 79.46 HV, respectively, which are 21.4 %, 17.5 %, 50.16 %, and 21.55 % higher than those of the composite without external field regulation. Adding an ultrasonic-magnetic coupling field gives the composite material excellent deformation uniformity while having high strength and toughness.