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Interpreting and incorporating machine learning technology from a human perspective helps define the role of product designers in the era of artificial intelligence. With this background, this study developed a 7-week design course about machine learning-based product design. Subsequently, in Fall 2023, a class with seven undergraduate students from different majors was held on the subject of "home camera." The design process consisted of (a) user research and need definition based on machine learning understanding and (b) machine learning-based interaction design development using a coding platform. The course was designed to explore the role of designers who implement human-centered design planning and prototypes considering machine learning tools. In addition, the course provided a basis for suggesting the direction of design education methods given emerging AI technology. The essence of design education is not merely about efficiency; rather, it is about nurturing designers' ability to think critically and use tools to cultivate innovation.

This paper explores the professional identities of four Filipino English teachers (FETs) who instruct international students at a language academy in Bonifacio Global City (BGC), a special district for the Philippines' globalization. Employing a narrative inquiry approach, data was gathered through individual interviews, and subsequently analyzed using a thematic analysis framework. The findings indicate that the participants assume three distinct roles within the academy. As experts in English language teaching, they consider themselves the equal of, or even superior to, native English-speaking teachers, which they attribute to their language proficiency, pedagogical skills, and content-based teaching. In their role as educational caretakers, they prioritize their students' well-being, providing motivation for English language learning, and offering emotional support. Furthermore, they identify themselves as international teachers, having deliberately chosen BGC as their career destination to foster multiculturalism and global citizenship. This study is of particular significance, as it scrutinizes the roles of FETs, frequently categorized as "non-native teachers," within the context of globalization.

Despite increased research interest in improving students' scientific inquiry abilities, how to conduct scientific inquiry using science textbooks that are easily accessible to primary school students remains understudied. This study developed and verified an inquiry activity model (IAM) to improve the performance of primary school students in science textbook inquiry activities. Data were collected from sixth-grade primary students (n = 167) to analyze the difficulty level of textbook inquiry activities. An analysis tool was developed, focusing on inquiry skills and process flow. Expert analysis increased the tool's validity. The analysis revealed that students possessed low integrated inquiry skills, were partially aware of the inquiry process flow, and could not design experiments. Hence, the IAM was developed to enhance students' ability to perform textbook inquiry activities and understand the activity phases. It emphasized the flow and representation of the inquiry process for students to easily recall the contents as they learn the interconnectivity between phases. The post-test of the experimental group and the inquiry process flow chart showed significant improvement in all areas of inquiry ability. The scores for "connections" and "interconnectivity" in the inquiry process flow were high, reflecting the model's effectiveness in showing the interconnectedness of all stages.

This paper charts a forward-looking roadmap for open universities, drawing upon their historical evolution and current practices. It advocates a shift toward a universally accessible, personalized education system. At the heart of this proposed advancement lies the customization of learning paths and experiences, where individualized advising and mentorship, and a variety of learning content, resources, and environments are essential. The study underscores the importance of integrating advanced technologies such as artificial intelligence and blockchain into the open and distance education system. Within the discourse, the paper delineates three primary areas for open universities to address: system transformation, expansion of openness, and integration of digital innovation. The concluding part of the paper offers possible strategic recommendations for policymakers and researchers of open universities. The essence of these recommendations is advocating for a universally personalized educational paradigm while making a strong case for addressing the digital divide, fostering strong partnerships at both global and community levels, and supporting the use of the latest technology to its fullest potential. By navigating this transformative journey, open universities are not just participating in the evolution of educational models but also poised to lead a revolution in the broader landscape of higher education.

This study identifies women college engineering students' perception of online Science, technology, engineering, and mathematics (STEM) learning and factors that influence their learning motivation during the COVID-19 period. By conducting interviews with ten women engineering students and applying attention, relevance, confidence, and satisfaction (ARCS) model, this study aims to answer two questions: (1) How did women college engineering students perceive their experience with online STEM learning during the pandemic? (2) What category/categories based on ARCS motivational design model primarily account for women college engineering students' learning motivation with online STEM learning during the pandemic? The results show that the online learning format influenced women college engineering students' perception regarding their academic plans, learning styles, learning environments, peer learning, and learning satisfaction. The most influential categories from ARCS model were 'confidence' and 'attention'. Findings suggest that the online STEM learning format influenced women college engineering students' learning motivation. The online format led to (1) low expectations for attention category when analyzed using ARCS model, (2) anticipation of more self-control, and (3) a desire for more peer interactions in their online STEM learning. As students would have new expectations for the role of online learning due to their experience during the pandemic, assessing women students' emerging motivational needs for STEM online learning is critical in developing a more inclusive instructional system design process in the future.

This study explored Chinese students' motivations for selecting a cross-border university in China's Guangdong-Hong Kong-Macau Greater Bay Area (GBA) and how they perceive their undergraduate experiences. The GBA was developed as an international economic cluster in China. Despite the vitality of the GBA's international education sector, few studies have focused on individual students' perspectives on cross-border higher education choices and experiences. We interviewed twenty students and two academics in charge of university admissions about their opinions and reflections concerning a GBA cross-border university. Students' university choices were linked to different admission profiles, parental influences, institutional features and interactions between students and the institutions. Our study has significant implications for leaders and policymakers in higher education seeking to attract talented university students, improve enrolment and promote students' learning experiences in cross-border higher education institutions.

Peer review in journals is in crisis, and its current situation and sustainability are increasingly concerning for academics and scientific communities. We identify this crisis as part of an evolutionary step in the continuous development of science, arguing that peer review maintains a central role. We analyse the emergence and historical development of peer review, identifying its role as crucial to the legitimisation of global science, particularly in guaranteeing quality control in the scientific process of massification--despite its flaws. We then focus on the crisis as part of the recent second wave of massification stemming from 'publish or perish' dynamics, which overburden those involved in peer review management and activities. Based on this crisis and given that the alternative models to peer review rely on the same core ideals, we argue that the current scenario represents a golden opportunity for the peer-review process to adapt by correcting some of its known biases, becoming more inclusive and relevant, and gaining recognition for its crucial role in career progression and in the training of the researchers of tomorrow.

This study explores Hong Kong university students' concerns when making employment decisions after graduation and their attitudes towards working in mainland China, especially in the Greater Bay Area (GBA). Two research questions were identified: What are Hong Kong students' attitudes towards working in the GBA? What factors influence Hong Kong students' employment choices? A qualitative research approach was adopted with semi-structured interviews with 38 final-year students from eight Hong Kong universities. Based on thematic analysis, the findings showed that Hong Kong university students' willingness to work in the GBA was mainly influenced by their previous connections with the destination and potential career development opportunities. However, Shenzhen was the only city out of nine in the GBA they considered for employment. University students were aware of the economic rationale for their employment preparation, but, more importantly, they placed a high value on professional development opportunities and work-life balance. They also valued opportunities for internationalisation and emphasised the importance of the work culture and environment in choosing employment. The findings have policy implications for graduate employment and the intra-mobility of talented young people across GBA cities in China.

Many school nurses experienced increased work burden and stress during the COVID-19 pandemic. This analysis examined data from a Centers for Disease Control and Prevention cross-sectional, nationwide survey of school nurses in March 2022 to examine associations between school nurses' ability to conduct their core responsibilities and selected nurse and school factors among school nurses during the 2021-2022 school year and COVID-19 pandemic. Perceived adequate staffing and financial compensation reduced the odds of reported difficulties across all core school nursing tasks. Nurses without a registered nurse license and with higher caseloads were more likely to report difficulty in implementing specific tasks. The impact of these factors varied, with inadequate financial compensation having the largest association with school nurses' difficulty implementing all the core responsibilities. The study results improve our understanding of school nurses' challenges in implementing core school nursing responsibilities during the COVID-19 pandemic in the 2021-2022 school year.

As augmented reality (AR) gains prevalence, various AR exhibits are being installed in science museums. However, few research has thus far examined the extent to which these exhibits can improve visitors' learning. This study qualitatively evaluates the effectiveness of an AR dinosaur exhibit at the Gwacheon National Science Museum in Korea and examines the implications for its improvement. Eight elementary school students experienced the AR dinosaur exhibit, and their reactions were captured by audio and video recordings. Science museum experts were also interviewed to understand the intended affordances of the exhibit. The students' responses to the intended affordances were examined by analyzing their tour of the AR dinosaur exhibit. We found that the exhibit attracted the visitors by catching their attention. However, they did not pay attention to the exhibition's primary purpose of improving scientific understanding or reasoning. Some unintended interactions, unrelated to the intended affordances, also emerged. The limitations of the examined AR dinosaur exhibit suggest implications for improving AR exhibits in the future.

This research aimed to investigate the structural relationships among teachers' computational thinking (CT), design thinking (DT), robotics teaching beliefs, and robotics pedagogical content knowledge (RPCK). A total of 98 in-service and pre-service teachers who participated in a robotics teaching professional development workshop served as the sample of the study. A survey including the Computational Thinking Scale, the Design Thinking Disposition Scale, the Robotics Teaching Beliefs Scale and the Technological Pedagogical Content Knowledge-Robotics Scale was conducted after the workshop. A confirmatory factor analysis was employed to validate the measurement constructs, and Partial Least Squares - Structural Equation Modeling (PLS-SEM) analysis was utilized to examine the relationships among the factors. The results revealed that both CT and DT dispositions could positively predict teachers' robotics teaching beliefs, which subsequently predicted their RPCK. Moreover, a direct positive relationship between CT and RPCK was identified, while such a relationship was not evident for DT. The model demonstrates the critical role of CT in shaping teachers' beliefs and pedagogical strategies of robotics teaching, and provides insights into the indirect influence of DT. Finally, the Model of Robotics Teaching Professional Development (MRTPD) was proposed to profile how to promote teachers' pedagogical content knowledge of robotics teaching from their CT and DT dispositions.

Individuals diagnosed with autism spectrum disorder (ASD) are more likely to have suicidal thoughts and behaviors. However, little research delineates the temporal and mechanistic associations between potential risk factors and suicidality in autistic individuals. We assessed 129 autistic and 121 age-matched and sex-assigned-at-birth-matched typically developing (TD) children and youth at baseline and follow-up. We evaluated internalizing/externalizing problems, bullying experiences, and three executive function tasks at a mean baseline age of 13.4 years (standard deviation: 4.2 years). After an average of 5.8 years (standard deviation: 1.7 years), we evaluated their suicidal thoughts and behaviors. The experiences of being bullied partially mediated the temporal relationship between pre-existing ASD and later-reported suicidal thoughts. Several cognitive flexibility and sustained attention indices mediated the temporal relationship between pre-existing ASD and later-reported suicidal thoughts. A multiple mediation model confirmed that bullying victimization and cognitive flexibility jointly mediated the temporal relationship between ASD and suicidal thoughts. Better cognitive flexibility and experiences of bullying victimization in autistic children/youth were both associated with higher risks of later-reported suicidal thoughts in adolescence/adulthood. School bullying-prevention programs and tailored clinical support for autistic youth with better cognitive flexibility are warranted for personalized suicide prevention for the autistic population.

Motivation is a key factor for child development, but very few studies have examined child and family predictors of both child task and perceived motivation. Thus, the three aims of this 6-month longitudinal study in preschoolers with global developmental delays (GDD) were to explore: 1) differences between task and perceived motivation in cognitive domain; 2) differences among three domains of perceived motivation: cognitive, gross motor, and social; and 3) early child and family predictors of cognitive task motivation and the three domains of perceived motivation 6 months later. Results indicated that preschoolers with GDD showed higher cognitive task motivation than cognitive perceived motivation, and lower perceived cognitive motivation than the other two perceived motivation domains. Different child and family factors predicted cognitive task motivation and the three domains of perceived motivation. Practitioners should educate caregivers on how to observe children's motivation to enhance children's active participation.

Currently, there are no existing measures to screen for or diagnose Social (Pragmatic) Communication Disorder (SPCD). We conducted an exploratory factor analysis (EFA) of the Social Communication Disorder Screener (SCDS), a 14-item, parent-report measure based on the DSM-5 diagnostic criteria for SPCD. This EFA examined the internal consistency and factor structure of the SCDS for a sample of 500 parents of children, ages 5-18 years, representative of the U.S. census. Results yielded a correlated three-factor solution with good internal consistency reliability. Findings supported the presence of three subscale as well as the derivation of a total composite score reflecting overall verbal and non-verbal communication and limitations across contexts. Clinical and research implications are discussed.

This design-based study explored the digital and linguistic practices of South Korean adolescents from a rural area within the Write4Change global online community, emphasizing their use of image-driven tools. Framed within the cosmopolitan literacies perspective, these adolescents adeptly merge local and global dimensions, integrating their multilingual identities, and compelling visual narratives into their work. They navigate English, the dominant language of the online community, while incorporating multilingual elements to enrich community dialogues. These practices reflect their linguistic adaptability and digital literacies and underscore the significant role of cosmopolitan literacies in transforming literacy studies. The study highlights the impactful digital practices of South Korean adolescents, contributing to a broader understanding of inclusivity and diversity in global literacies.

The Australian education system features considerable socioeconomic inequality and is a frequent source of controversy in Australian public life. Yet meaningful reform to this system has proven elusive. In this article, we examine the public's fairness perceptions of educational inequality based on parental financial capacity, using an online survey of adults (N = 1,999) from New South Wales, Australia. We asked about the fairness of inequality in school resources and education quality, and used a scenario in which students from high-income and low-income families had achievement gaps due to differences in educational experiences. Respondents had diverse perceptions about the fairness of educational inequality, but most perceived the scenario as unfair or very unfair. The partial proportional odds models showed that self-interest and neoliberal orientations predicted people's fairness perceptions of educational inequality. The findings of this study have implications for achieving meaningful reform of the Australian education system that is in line with public opinion.

Abstract The effect of blood pressure (BP) on the incident cardiovascular events, progression to end-stage renal disease (ESRD) and mortality were evaluated among chronic kidney disease (CKD) patients with and without antihypertensive treatment. This nationwide study used the Korean National Health Insurance Service-Health Screening Cohort data. The hazards of outcomes were analysed according to the systolic BP (SBP) or diastolic BP (DBP) among adults (aged ≥ 40 years) with CKD and without previous cardiovascular disease or ESRD (n = 22,278). The SBP and DBP were ≥ 130 mmHg and ≥ 80 mmHg in 10,809 (48.52%) and 11,583 (51.99%) participants, respectively. During a median 6.2 years, 1271 cardiovascular events, 201 ESRD incidents, and 1061 deaths were noted. Individuals with SBP ≥ 130 mmHg and DBP ≥ 80 mmHg had higher hazards of hypertension-related adverse outcomes compared to the references (SBP 120–129 mmHg and DBP 70–79 mmHg). SBP

Abstract The triglyceride-glucose (TyG) index is a simple surrogate marker of insulin resistance. We evaluated the association of the TyG index with low muscle mass using a nationwide population-based representative data. This is a cross-sectional study that included 9477 participants aged ≥ 40 years from the Korea National Health and Nutrition Examination Survey between 2008 and 2011. The TyG index was calculated as ln[triglyceride (mg/dL) × fasting plasma glucose (mg/dL)/2]. Dual-energy X-ray absorptiometry was used to measure appendicular lean mass (ALM). Low muscle mass was defined an ALM/weight of 2 standard deviations (SD) below of young participants. The overall prevalence of low muscle mass was 4.7%. The prevalence of low muscle mass increased linearly with the quartiles of the TyG index, 2.5%, 4.2%, 5.6%, and 6.7% in Q1–Q4, respectively. The TyG index was negatively associated with ALM/weight both in men (r = − 0.302) and women (r = − 0.230). The odds ratio (OR) for low muscle mass was 2.08 in the highest quartile compared to the lowest quartile. High TyG index was associated with an increased risk of low muscle mass (OR for 1SD increase: 1.13). Increased TyG index was associated with the risk of low muscle mass independent of confounding factors.

Tumors can induce systemic disturbances in distant organs, leading to physiological changes that enhance host morbidity. In Drosophila cancer models, tumors have been known for decades to cause hypervolemic "bloating" of the abdominal cavity. Here we use allograft and transgenic tumors to show that hosts display fluid retention associated with autonomously defective secretory capacity of fly renal tubules, which function analogous to those of the human kidney. Excretion from these organs is blocked by abnormal cells that originate from inappropriate activation of normally quiescent renal stem cells (RSCs). Blockage is initiated by IL-6-like oncokines that perturb renal water-transporting cells and trigger a damage response in RSCs that proceeds pathologically. Thus, a chronic inflammatory state produced by the tumor causes paraneoplastic fluid dysregulation by altering cellular homeostasis of host renal units.

We aimed to compare the associations of metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) with coronary artery calcification (CAC). Patients who simultaneously underwent ultrasonography to diagnose hepatic steatosis and cardiac computed tomography to detect CAC were included. The presence and severity of CAC were defined with CAC-score thresholds of > 0 and > 300, respectively, and patients were divided into the following groups: no MASLD or MAFLD (reference), MASLD-only, MAFLD-only, and overlapping groups. Overall, 1,060/2,773 (38.2%) patients had CAC, of which 196 (18.5%) had severe CAC. The MASLD and MAFLD prevalence rates were 32.6% and 45.2%, respectively, with an overlap of 30.7%. In an ASCVD risk score-adjusted model, both MASLD (adjusted odd ratios [aOR], 1.21; 95% confidence interval [CI], 1.02-1.44; p = 0.033) and MAFLD (aOR 1.20; 95% CI 1.01-1.42, p = 0.034) were associated with CAC, whereas only MASLD (aOR 1.38; 95% CI 1.01-1.89, p = 0.041) was associated with severe CAC. Compared to the reference group, the overlapping group showed an association with CAC (aOR 1.22; 95% CI 1.01-1.47; p = 0.038); however, the MASLD and MAFLD subgroups did not differ in their association with CAC. MASLD may predict a higher risk of ASCVD more effectively than MAFLD.

This paper presents a machine learning-based airfoil shape optimization framework designed to increase flutter resistance and reduce drag. Using the National Advisory Committee for Aeronautics airfoil as the base design and a Hicks–Henne bump function, we employ multi-objective Bayesian optimization and harmonic balance-based flutter prediction. The optimization process yields a Pareto front revealing trade-off relationships between the flutter speed index and drag coefficient. The optimized airfoils, resembling those of evolved marine animals, outperform the base design in terms of flutter resistance and drag. These results demonstrate the framework's potential to enhance aircraft performance and safety by addressing aeroelastic factors.

Lipoprotein lipase (LPL) and multiple regulators of LPL activity (e.g., APOC2 and ANGPTL4) are present in all vertebrates, but GPIHBP1-the endothelial cell (EC) protein that captures LPL within the subendothelial spaces and transports it to its site of action in the capillary lumen-is present in mammals but in not chickens or other lower vertebrates. In mammals, GPIHBP1 deficiency causes severe hypertriglyceridemia, but chickens maintain low triglyceride levels despite the absence of GPIHBP1. To understand intravascular lipolysis in lower vertebrates, we examined LPL expression in mouse and chicken hearts. In both species, LPL was abundant on capillaries, but the distribution of Lpl transcripts was strikingly different. In mouse hearts, Lpl transcripts were extremely abundant in cardiomyocytes but were barely detectable in capillary ECs. In chicken hearts, Lpl transcripts were absent in cardiomyocytes but abundant in capillary ECs. In zebrafish hearts, lpl transcripts were also in capillary ECs but not cardiomyocytes. In both mouse and chicken hearts, LPL was present, as judged by immunogold electron microscopy, in the glycocalyx of capillary ECs. Thus, mammals produce LPL in cardiomyocytes and rely on GPIHBP1 to transport the LPL into capillaries, whereas lower vertebrates produce LPL directly in capillary ECs, rendering an LPL transporter unnecessary.

Ferroelectric HfO2-based thin films have attracted much interest in the utilization of ferroelectricity at the nanoscale for next-generation electronic devices. However, the structural origin and stabilization mechanism of the ferroelectric phase are not understood because the film is typically nanocrystalline with active yet stochastic ferroelectric domains. Here, electron microscopy is used to map the in-plane domain network structures of epitaxially grown ferroelectric Y:HfO2 films in atomic resolution. The ferroelectricity is confirmed in free-standing Y:HfO2 films, allowing for investigating the structural origin for their ferroelectricity by 4D-STEM, high-resolution STEM, and iDPC-STEM. At the grain boundaries of -oriented Pca21 orthorhombic grains, a high-symmetry mixed-(R3m, Pnm21) phase is induced, exhibiting enhanced polarization due to in-plane compressive strain. Nanoscale Pca21 orthorhombic grains and their grain boundaries with mixed-(R3m, Pnm21) phases of higher symmetry cooperatively determine the ferroelectricity of the Y:HfO2 film. It is also found that such ferroelectric domain networks emerge when the film thickness is beyond a finite value. Furthermore, in-plane mapping of oxygen positions overlaid on ferroelectric domains discloses that polarization is suppressed at vertical domain walls, while it is active when domains are aligned horizontally with subangstrom domain walls. In addition, randomly distributed 180° charged domain walls are confined by spacer layers.

We lack the fundamental information needed to understand how DNA damage in the brain is generated and how it is controlled over a lifetime in the absence of replication check points. To address these questions, here, we integrate cell-type and region-specific features of DNA repair activity in the normal brain. The brain has the same repair proteins as other tissues, but normal, canonical repair activity is unequal and is characterized by high base excision repair (BER) and low double strand break repair (DSBR). The natural imbalance creates conditions where single strand breaks (SSBs) can convert to double strand breaks (DSBs) and reversibly switch between states in response to oxidation both in vivo and in vitro. Our data suggest that, in a normal background of repair, SSBs and DSBs are in an equilibrium which is pushed or pulled by metabolic state. Interconversion of SSB to DSBs provides a physiological check point, which would allow the formation of unrepaired DSBs for productive functions, but would also restrict them from exceeding tolerable limits.

Phase four of the Alzheimers Disease Neuroimaging Initiative (ADNI4) magnetic resonance imaging (MRI) protocols aim to maintain longitudinal consistency across two decades of data acquisition, while adopting new technologies. Here we describe and justify the studys design and targeted biomarkers. The ADNI4 MRI protocol includes nine MRI sequences. Some sequences require the latest hardware and software system upgrades and are continuously rolled out as they become available at each site. The main sequence additions/changes in ADNI4 are: (1) compressed sensing (CS) T1-weighting, (2) pseudo-continuous arterial spin labeling (ASL) on all three vendors (GE, Siemens, Philips), (3) multiple-post-labeling-delay ASL, (4) 1 mm3 isotropic 3D fluid-attenuated inversion recovery, and (5) CS 3D T2-weighted. ADNI4 aims to help the neuroimaging community extract valuable imaging biomarkers and provide a database to test the impact of advanced imaging strategies on diagnostic accuracy and disease sensitivity among individuals lying on the cognitively normal to impaired spectrum. HIGHLIGHTS: A summary of MRI protocols for phase four of the Alzheimers Disease Neuroimaging Initiative (ADNI 4). The design and justification for the ADNI 4 MRI protocols. Compressed sensing and multi-band advances have been applied to improve scan time. ADNI4 protocols aim to streamline safety screening and therapy monitoring. The ADNI4 database will be a valuable test bed for academic research.

Chlorine exposure can cause severe airway injuries. While the acute effects of chlorine inhalation are well-documented, the structural changes resulting from the post-acute, high-level chlorine exposure remain less understood. Airway sloughing is one of the standards for doctors to evaluate the lung function. Here, we report the application of a high-resolution swept-source optical coherence tomography system to investigate the progression of injury based on airway sloughing evaluation in a chlorine inhalation rabbit model. This system employs a 1.2 mm diameter flexible fiberoptic endoscopic probe via an endotracheal tube to capture in vivo large airway anatomical changes before and as early as 30 min after acute chlorine exposure. We conducted an animal study using New Zealand white rabbits exposed to acute chlorine gas (800 ppm, 6 min) during ventilation and monitored them using optical coherence tomography (OCT) for 6 h. To measure the volume of airway sloughing induced by chlorine gas, we utilized deep learning for the segmentation task on OCT images. The results showed that the volume of chlorine induced epithelial sloughing on rabbit tracheal walls initially increased, peaked around 30 min, and then decreased. Furthermore, we utilized a spectral encoded interferometric microscopy system to study ex vivo airway cilia beating dynamics based on Doppler shift, aiding in elucidating how chlorine gas affects cilia beating function. Cilia movability and beating frequency were decreased because of the epithelium damage. This quantitative approach has the potential to enhance the diagnosis and monitoring of injuries from toxic gas inhalation and to evaluate the efficacy of antidote treatments for these injuries.