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BACKGROUND: The Tigertriever device offers a unique feature that enables gradual control of the radial expansion. We sought to evaluate the safety and efficacy of the Tigertriever device in patients with large vessel occlusion (LVO) and underlying intracranial atherosclerotic disease (ICAD). The patients were part of the TIGER trial. METHODS: The presence of underlying ICAD was determined by a core imaging laboratory using CT angiography and digital subtraction angiography. The primary outcomes included successful reperfusion, puncture to reperfusion time, and complications associated with the use of the Tigertriever device. Patients underwent mechanical thrombectomy with the Tigertriever device for up to three passes, and alternative devices were employed for subsequent passes. RESULTS: A total of 160 patients were enrolled in the TIGER trial, and 32 patients had ICAD. Among the patients with ICAD, 78% achieved successful reperfusion within three passes of the Tigertriever device, without requiring rescue therapy. Additionally, a first pass effect was observed in 46.8%. The median time from puncture to reperfusion was 22 minutes. There were no device-related complications. The National Institutes of Health Stroke Scale (NIHSS) score at 24 hours was significantly reduced, from an average of 17 at baseline to 8. At the 3 month follow-up, 50% of patients achieved a modified Rankin Scale score of ≤2. CONCLUSION: Endovascular therapy (EVT) with the Tigertriever device for LVO in patients with underlying ICAD is effective and safe. When compared with historical data from other devices employed in similar cases, we observed a high rate of successful reperfusion, along with a shorter puncture to reperfusion time.

Ovarian cancer is a leading cause of death for women worldwide in part due to ineffective screening methods. In this study, we used whole-genome cell-free DNA (cfDNA) fragmentome and protein biomarker (CA-125 and HE4) analyses to evaluate 591 women with ovarian cancer, benign adnexal masses, or without ovarian lesions. Using a machine learning model with the combined features, we detected ovarian cancer with specificity >99% and sensitivity of 72%, 69%, 87%, and 100% for stages I-IV, respectively. At the same specificity, CA-125 alone detected 34%, 62%, 63%, and 100% of ovarian cancers for stages I-IV. Our approach differentiated benign masses from ovarian cancers with high accuracy (AUC=0.88, 95% CI=0.83-0.92). These results were validated in an independent population. These findings show that integrated cfDNA fragmentome and protein analyses detect ovarian cancers with high performance, enabling a new accessible approach for noninvasive ovarian cancer screening and diagnostic evaluation.

Rapid advances in technology have resulted in a worldwide drive to enhance science, technology, engineering and mathematics (STEM) workforces to remain internationally competitive and ensure economic prosperity. Despite this, there is ongoing debate about the best strategies for promoting STEM literacy and building national STEM competencies. Women continue to be under-represented within the Australian STEM workforce, impacting Australia's national performance and STEM pipeline figures. Several factors have been determined as crucial components impacting females' perceptions of the STEM fields, and their drive to pursue employment in these areas. One method for analysing these factors is to explore the personal narratives of women in STEM and STEM-related fields to determine which factors impact their engagement with STEM. Our research contributes to this ongoing debate by providing insight into the personal narratives of eight women who participated within the "STEMinist Community of Practice" (CoP) research project, and their fluid experiences of the STEM pipeline. This paper explores the key factors and experiences of the participants, including how their careers progressed over time; and related potential solutions for increasing the number of women in STEM. Additionally, this paper explores the criteria for being considered a 'STEM professional', and how this impacts the fluidity of the STEM pipeline for women. We utilised a qualitative narrative research design through the worldview of interpretivism and employed a storytelling methodology. Thematic analysis was undertaken, and four key themes emerged: influence, perception, self-perception, and community of practice. The research questions are answered through a series of vignettes providing a rich conception of participant experiences. Key recommendations from this article are the development of further communities of practice to empower women within STEM fields, and adjusting the criteria of STEM professionals to include STEM educators, to address STEM pipeline issues.

Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were collected from 712 undergraduate and postgraduate students through a Google Docs questionnaire. Descriptive analysis, exploratory factor analysis (EFA), regression and reliability analysis were conducted to analyze the data. Findings: There are many studies related to the adoption of online learning. However, there are limited studies that explore the adoption and acceptance of online examinations and evaluations. This paper intends to fill this gap and tries to highlight important factors influencing online examination usage by the students. Five important factors emerged in the study include "pedagogy, validity, reliability," "practicality," "security," "facilitating condition" and "intention," The study concludes that taking tests online is preferred for several reasons, including the perceived increased dependability of grades and the decreased cost, time and effort associated with taking exams. Research limitations/implications: This research explores students' perceptions of learning management systems (LMS)-based online exams and provides insights for students to better prepare and adapt. It assists policymakers in developing fair assessment policies and improving LMS platforms. The study contributes to the theoretical understanding of e-learning and calls for further research to enhance the effectiveness of online exams. It identifies gaps in existing literature and recommends larger sample sizes, broader representation, longitudinal data collection and conversational methods for future research. Originality/value: This study shows increasing research on e-learning and online examinations, mostly using quantitative methods. The important variables for understanding students' perceptions of online exams are "pedagogy, validity, reliability," "practicality," "security," "facilitating condition" and "intention." Concerns raised include validity, fairness and security. Electronic exams are more suitable for formative evaluation, and validity, reliability, security and adaptability are key pillars for successful online testing.

This study employed a sequential mixed methods explanatory research design to explore the influence of mentoring in the self-efficacy-forming experiences of primary school teachers who participated in a variety of professional development projects on science teaching. In the quantitative phase, survey data drawn from primary school teachers (n = 834) showed that collaborative mentee-mentor activities and metaphorical descriptions of interpersonal relationship were the best predictors of personal science teaching self-efficacy, outcome expectancy, and instructional change. In the qualitative phase, interviews with individual teachers identified their perceptions of how mentoring experiences influenced their development of science teaching self-efficacy and changes they made in their science classrooms. The findings are interpreted through the theoretical lens of the roles of culture and emotions in teacher learning.

The purpose of this study was to examine the relationships between mentoring and coaching experience, teachers' self-efficacy, and job satisfaction. Moreover, the researchers investigated the differences among the group of years of teaching experience of vocational teachers. Structural equation modelling (SEM) and one-way ANOVA were used for analysing the data from 614 participants from five areas in Thailand. The study found positive relationships among the mentoring and coaching experience, teachers' self-efficacy and job satisfaction. There was a significant difference among the group of years of teaching experience in the mentoring and coaching experience of the teachers. These results could be applied in a policy presentation for the education sector to consider driving teacher professional development programmes through mentoring and coaching, especially in the context of vocational teachers. Findings suggest each life phase of the teachers' career demonstrated what administrators should consider when organising professional development programmes in colleges or schools.

Research has shown that cooperative learning (CL) strongly promotes student learning at all educational levels. However, little is known about the CL's influence in teacher education. This study examined the impact of CL on EFL pre-service teachers' learning motivation and academic engagement using a pre-test/post-test quasi-experimental design. Two classes were randomly selected from regional teacher training centres in Cambodia, one class assigned as the experimental group (N = 35) and the other as the control group (N = 30). For one semester, the experimental group were exposed to CL while the control group were taught through lecture-based learning. Data were collected through adapted scales on learning motivation and academic engagement. The ANCOVA results revealed that CL was more effective for learning motivation and academic engagement, but no significant difference was found on extrinsic learning motivation. In conclusion, CL can foster learning motivation and academic engagement among EFL pre-service teachers.

This study aims to examine the effects of e-learning management system -- quality characteristics and student characteristics on continuous intention to use e-LMS. This empirical and quantitative study focuses on emerging nations, specifically India, and explores the acceptance of e-LMS among students. While previous research has examined student acceptance of e-LMS, a limited number of studies investigate the impact of e-learning management system quality and student characteristics on continuing e-LMS usage. This study aims to fill this gap by identifying the key variables that influence the adoption of e-LMS. The survey was disseminated online over four weeks in several departments of an HEI located in a rural, remote, and isolated area of the Himalayan foothills. 469 valid replies were obtained using the purposive sampling technique. The data analysis using the structural equation model showed that learner control, technology experience, motivation for learning related to technology, information quality, system quality, and service quality all had a statistically significant impact on students' continued use of e-LMS. According to the neural network (NN) model results, the most significant factors influencing continuous intention to use e-learning are information quality, technological experience, service quality, system quality, motivation for learning, learner control, and personnel innovativeness.

Purpose: The purpose of this study was to examine the effectiveness of an augmentative and alternative communication (AAC) intervention package consisting of systematic instruction and aided AAC modeling with speech-output technology on the acquisition, maintenance, and generalization of socio-communicative behaviors in four minimally speaking, preschool-aged, autistic children. Method: A multiple-probe design across behaviors (i.e., initiating a request for a turn, answering questions, and commenting) replicated across participants was implemented to evaluate the effects of the intervention package on socio-communicative behaviors. Furthermore, a pretreatment and posttreatment multiple-generalization-probe design was used to assess generalization across typically developing peers who were not a part of the intervention. Maintenance data were collected 3 weeks post intervention. Results: Visual analysis, corroborated by nonoverlapping of all pairs statistics, established a strong functional relationship between the AAC intervention package and all targeted socio-communicative outcomes for two participants. For the other two participants, inconsistent intervention effects were observed. In terms of generalization from interacting with the researcher to typically developing peers, a functional relationship between the intervention and generalization outcomes for all targeted behaviors was established for only one participant (i.e., Aiden). Conclusion: The outcomes of this study suggest that aided AAC modeling and systematic instruction using a speech-output technology may lead to gains in socio-communicative behaviors in some minimally speaking, preschool-aged, autistic children.

With the advent of COVID-19, universities around the world have been forced to move to a fully online mode of delivery because of lockdown policies. This led to a flurry of studies into issues such as internet access, student attitudes to online learning and mental health during lockdown. However, researchers need a validated survey for assessing the classroom emotional climate and student attitudes towards learning in universities that can be used for online, face-to-face or blended delivery. Such a survey could be used to illuminate students' perceptions of the experiences that make up learning at university level, in terms of such factors as care from teachers, collaboration and motivation. In this article, we report the validation of a University Classroom Emotional Climate (UCEC) questionnaire and an Attitudes to Learning scale, as well as their use in comparing the classroom emotional climate and attitudes during COVID-19 lockdown (fully online delivery) with post-lockdown (mixed-mode delivery). Female students experienced the post-lockdown condition significantly more positively than during lockdown for all scales except Care, while the only significant difference for males between the during and post-lockdown was their choice to engage with learning (Control) and the degree of Challenge that they found with the learning materials.

Australia's economic need for innovation has led to Science, Technology, Engineering and Mathematics (STEM) education becoming an essential investment for the future. This study utilised a mixed-methods approach involving a pre-validated quantitative questionnaire together with qualitative semi-structured focus groups with students across four Year 5 classrooms. Students provided their perceptions of their STEM learning environment and their interactions with their teacher to identify factors influencing their engagement for pursuing these disciplines. The questionnaire comprised of scales from three different instruments: Classroom Emotional Climate, Test of Science Related Attitudes, and Questionnaire on Teacher Interaction. Several key factors were identified through student responses, including Student Freedom, Peer Collaboration, Problem Solving, Communication, Time, and Preferred Environments. 33 out of possible 40 correlations between scales were statistically significant, but eta[superscript 2] values were considered low (0.12-0.37). Overall, the students expressed positive perceptions about their STEM learning environment, with Student Freedom, Peer Collaboration, Problem Solving, Communication and Time appearing to impact their perceptions of STEM education. Three focus groups with a total of 12 students identified suggestions for improving STEM learning environments. Implications from this research include the importance of considering student perceptions when measuring the quality of STEM learning environments, as well as how facets of these environments can impact student attitudes towards STEM.

This study examines science teacher beliefs working in the conflict-affected zones of Jammu and Kashmir. Research in these areas indicates that teacher beliefs influence their classroom practices and student learning outcomes and that teacher beliefs are highly context sensitive. Using data collected from a questionnaire and focussed group discussions, this research elucidates science teachers' beliefs regarding how conflict affects classroom practices, conflict and teaching issues, the multifaceted role of teachers in conflict-affected zones, the role of science education in ameliorating conflict, and the changing role of teachers during three decades of active conflict in Jammu and Kashmir. A nuanced picture of teacher beliefs originated from this study suggesting that despite challenges teachers are committed to children's academic, cognitive, and psychosocial growth.

Introduction: Social determinants of health (SDoH) impact patients’ health outcomes, yet screening methods in emergency departments (ED) are not consistent or standardized. The SDoH-related health disparities may have widened during the coronavirus 2019 (COVID-19) pandemic, especially among patients who primarily receive their medical care in EDs. We sought to identify SDoH among ED urgent care patients during the COVID-19 pandemic at an urban safety-net hospital, assess the impact of the pandemic on their SDoH, study the feasibility of SDoH screening and resource referrals, and identify preferred methods of resource referrals and barriers to accessing resources.Methods: Research assistants screened ED urgent care patients using a validated SDoH screener, inquiring about the impact of COVID-19 on their SDoH. A printed resource guide was provided. Two weeks later, a follow-up telephone survey assessed for barriers to resource connection and patients’ preferred methods for resource referrals. This study was deemed exempt by our institutionalreview board.Results: Of the 418 patients presented with a screener, 414 (99.0%) patients completed the screening. Of those screened, 296 (71.5%) reported at least one adverse SDoH, most commonly education (38.7%), food insecurity (35.3%), and employment (31.0%). Housing insecurity was reported by 21.0%. Over half of patients (57.0%) endorsed COVID-19 affecting their SDoH. During follow-up, 156 of 234 (67%) attempted calls were successful and 36/156 (23.1%) reported attempting to connect with a resource, with most attempts made for stable housing (11.0%) and food (7.7%). Reasons for not contacting the provided resources included lack of time (37.8%) and forgetting to do so (26.3%). Patients preferred resource guides to be printed (34.0%) and sent via text message to their mobile devices (25.6%).Conclusion: Many urgent care patients of this urban ED reported at least one adverse SDoH, the majority of which were exacerbated by the COVID-19 pandemic. This finding further emphasizes the need to allocate more resources to standardize and expand SDoH screening in EDs. Additionally, hospitals should increase availability of printed or electronic SDoH resource guides, resource navigators, and interpreters both during and after ED visits.

The What Is Happening In this Class? (WIHIC) questionnaire is a multidimensional measure for assessing the classroom learning environment based on student perspectives. The purpose of this study was to validate an Indonesian version of WIHIC and to assess the instrument's psychometric properties by using confirmatory factor analysis (CFA) and the Multidimensional Partial Credit Model (MPCM), one of the family of Polytomous Rasch model. The Indonesian WIHIC was administered to 962 high school students (368 male, 594 female), aged 14-18 years, in Jakarta, Indonesia. Results from the CFA model comparison showed that the 7-dimensional factor structure of WIHIC was satisfactory. We performed MPCM and found that this model fit the data of the Indonesian WIHIC reasonably well. Moreover, the estimated Rasch person separation reliabilities of each subscale showed that WIHIC has good internal consistency (0.87 to 0.96). The Indonesian WIHIC questionnaire appears to be a valid and reliable tool for assessing the classroom learning environment in Indonesian high school students.