Relevant Background Research Articles

Instrumentation for measurement: A case study on conceptual versus problem-solving knowledge

The problem under analysis looks at the overall comparison of about 1300 students’ performance considering separately their conceptual and problem-solving knowledge over 7 academic years of the course of Instrumentation for Measurement within the Mechanical Engineering Department, Faculty of Engineering, University of Porto . This course gives the relevant background for later content courses on Automation, Control, Mechatronics, Smart Factories, etc., in that Mechanical Engineering master's degree. It is important to note that such content deals with basic concepts in different science and technology topics, incorporating today's cyber systems and the Internet of Things (IoT). This content includes fundamental principles spanning traditional topics as physics, statistics, mechanical, dynamics, design, and electrical, foundational, technical, and technological knowledge, and informatics. Together, they permit access to very small changes in physical quantities making possible their measurement, interpreting them, and providing data in the cloud. Also, aspects related to a variety of specific prepared questions to motivate students to improve and enhance their comprehension instead of a pure sequence of memorization activities for a perfect “how-to-respond” are explained. The work describes details on the instructional course design, and the actions used to improve the difference in both performances, from the point of view of pedagogical strategies and their sequence of results. The main outcomes of the analysis performed on data from those 7-course editions indicate large differences between the scores of conceptual (/theoretical) and problem-solving components; steady improvement in student performance in conceptual knowledge over the years; stable performance concerning the problem-solving component; clear disruption in conceptual performance in the academic year disturbed by the pandemic situation, followed by great recovery in the following academic year. The results are discussed in the framework of the regulations and conditions in which the instruction takes place and the pedagogical strategies employed to balance conceptual and problem-solving knowledge. Finally, some suggestions are put forward to investigate further possible reasons behind the large gap in theoretical and problem-solving results. The authors hope to contribute with some helpful discussion and outcomes and to foster later feedback from the community.

Exploration and Practice of Innovative Reading in Primary Schools from the Perspective of Life Education

Reading teaching is a teaching process that directly affects students' values and worldviews, and is an important way to promote the development of students' values. It is a special cognitive process for students to appreciate various aspects of life, understand life forms, experience-rich life emotions, and promote the complete development of their own worldviews and values. The values of primary school students are in the enlightenment period, therefore, it is important and necessary to implement life education-themed reading teaching in primary school reading teaching. The main body of the paper consists of the following three parts: The first part mainly elaborates on the relevant policies, social background, and core concepts of the paper, as well as the necessity and feasibility of conducting junior high school Chinese reading teaching practice from the perspective of life education. The second part mainly analyzes the current situation of primary school teaching practice, introducing the four methods summarized by the author in practice from the perspective of life education. The third part is a summary of the case results and insights gained from innovative reading from the perspective of life education.

Let’s Talk About Hair and Art

The objective of this paper is to critically reflect upon a cultural text in the form of a piece of mixed media abstract realism artwork titled Hair Power, made in 2020. This piece was inspired and motivated by my involvement with a World Afro Day event held on 15 September 2020. The paper draws on my personal, political, cultural, and historical rationale for making the artwork, and includes relevant background information and wider influences. I discuss the artistic process — composition, colour scheme, themes, materials— and how and why I made the painting the way I did. The paper also aims to show the intertextuality of visual art and community activism and the importance of art as a form of resistance against Westernised beauty standards and of the power of images in their ability to transport the audience in which they are intended. This paper will also seek to understand the connectivity between artists and the community, and the importance of representation within the visual arts. It will draw on my cultural heritage and African and Caribbean diasporic cultural connections. It will further seek to connect art with literary projects, working together to challenge those ideologies that do not work for Black people who choose to wear their afro hair in its natural state, so that pride is more important than hiding or changing afro hair to fit into society’s ‘norms’. Hair Power is a piece of personal and political abstract realism art that was made as a reminder that afro hair in its natural state is to be celebrated. Hair Power was also one of two pieces of artwork integrated as a symbolic gesture into my Birkbeck College “Race Law and Literature” assignment in April 2021. The assignment involved writing a creative nonfiction narrative of a historical event using the theme of everyday racism in the British education system. Hair Power marks my decision to make more political art.

Constraints on the speed of sound in the k-essence model of dark energy

We consider a k-essence scalar field model for the late-time cosmic acceleration in which the sound speed, parametrized as cs\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$c_s$$\\end{document} is constant. We compute the relevant background and perturbation quantities corresponding to the observables like cosmic microwave background, type Ia supernova, cosmic chronometers, baryon acoustic oscillations, and the fσ8\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$f\\sigma _8$$\\end{document}. We put constraints on the cs2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$c_s^2$$\\end{document} parameter from these observations along with other parameters. We find lower values of cs2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$c_s^2$$\\end{document} which are close to zero are tightly constrained. Particularly, we find mean value of log10(cs2)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\log _\ extrm{10} (c_s^2)$$\\end{document} to be -0.61\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$-0.61$$\\end{document} and cs2≤10-3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$c_s^2 \\le 10^{-3}$$\\end{document} is more than 3σ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\sigma $$\\end{document} away from this mean value. This means these observations favor a homogeneous dark energy component compared to the clustering one.

GCNGAT: Drug–disease association prediction based on graph convolution neural network and graph attention network

Predicting drug–disease associations can contribute to discovering new therapeutic potentials of drugs, and providing important association information for new drug research and development. Many existing drug–disease association prediction methods have not distinguished relevant background information for the same drug targeted to different diseases. Therefore, this paper proposes a drug–disease association prediction model based on graph convolutional network and graph attention network (GCNGAT) to reposition marketed drugs under the distinguishment of background information. Firstly, in order to obtain initial drug–disease information, a drug–disease heterogeneous graph structure is constructed based on all known drug–disease associations. Secondly, based on the heterogeneous graph structure, the corresponding subgraphs of each group of drug–disease association pairs are extracted to distinguish different background information for the same drug from different diseases. Finally, a model combining Graph neural network with global Average pooling (GnnAp) is designed to predict potential drug–disease associations by learning drug–disease interaction feature representations. The experimental results show that adding subgraph extraction can effectively improve the prediction performance of the model, and the graph representation learning module can fully extract the deep features of drug–disease. Using the 5-fold cross-validation, the proposed model (GCNGAT) achieves AUC (Area Under the receiver operating characteristic Curve) values of 0.9182 and 0.9417 on the PREDICT dataset and CDataset dataset, respectively. Compared with other predictors on the same dataset (PREDICT dataset), GCNGAT outperforms the existing best-performing model (PSGCN), with a 1.58% increase in the AUC value. It is anticipated that this model can provide experimental reference for drug repositioning and further promote the drug research and development process.

The impact of the visual layout of university open space on students' behavior and satisfaction level: the case of Iran University of Science and Technology

PurposeVisual aesthetics are a vital aspect of environmental quality. The objective of this study is to demonstrate the implementation of visibility analysis and visual quality standards on a campus to enhance productivity and effectiveness.Design/methodology/approachThis study has identified the most crucial and valuable metrics for evaluating the visual quality of open spaces through an analysis of theoretical foundations and relevant background information. To achieve research goal, a multi-method approach was employed, incorporating a survey, user satisfaction ratings and ISOVIST simulation techniques. Specifically, this study focused on assessing the quality of open spaces in three open areas located on the campus of the Iran University of Science and Technology.FindingsBased on the study’s findings, the most significant factors that students considered when evaluating the visual quality of open spaces on the Iran University of Science and Technology campus were green areas, gathering spaces and architectural elements such as furniture, color and texture. Among the three open areas examined, “Open Space One” was identified as the most satisfactory location for students. According to the study, “sensory richness,” “complexity” and “mystery” were significant indicators of students' satisfaction in this area. This area also had the widest radius and field of view feasible, which gave it a feeling of openness and spaciousness.Originality/valueThis study explores the influence of students' experiences, behavioral patterns and visual analyses on their use of open spaces on university campuses, with a focus on the Iran University of Science and Technology. By assessing students' satisfaction levels with these spaces, this research provides valuable insights that can guide the initial analysis stage before the design process and facilitate design optimization during the development stages. The results highlight the importance of considering user experiences and visual analysis when planning and creating open spaces on university campuses.HighlightsConducting an initial analysis before developing a design plan can be very helpful in understanding how users think and behave.The three criteria of visual quality that have the strongest correlation with students' satisfaction with “open space” are “mystery,” “sensory richness” and “complexity.”Two factors, namely the “radius of vision” and the “area” index, significantly influence students' satisfaction with open spaces.Outdoor designers should incorporate “green space” and “gathering spaces” into their designs since the presence of these is effective in attracting and satisfying students.The number of people using an open space has little to do with how satisfied students are with it.Half of the students use open areas between 11:00 and 14:00, so the provision of “canopy” and “shelter” in these spaces is essential.

An Interprofessional Approach to Aural Rehabilitation for Adults with Hearing Loss and Cognitive Concerns.

Individuals with hearing loss are at risk for cognitive decline. The traditional approach to audiological care does not typically involve a team approach that addresses cognitive concerns. While cognitive screening is within the scope of practice in audiology, audiologists are not typically trained in interpreting screening results or providing rehabilitation that supports cognitive health. However, as growing evidence shows that hearing loss is tied to cognitive decline, a team approach is required to support whole-person care. Speech-language pathologists, who specialize in optimizing communication, are best situated to collaborate with audiologists to provide holistic aural rehabilitation. Audiologists and speech-language pathologists who partner to support a client's communication skills and social relationships play an important role in the life of an individual with hearing loss. In this perspective, we describe relevant background information about hearing loss and cognition and present an interprofessional approach to aural rehabilitation for adults with hearing loss who have cognitive concerns. We also discuss implications for future research.

Olanzapine, but not haloperidol, exerts pronounced acute metabolic effects in the methylazoxymethanol rat model.

Widely used second-generation antipsychotics are associated with adverse metabolic effects, contributing to increased cardiovascular mortality. To develop strategies to prevent or treat adverse metabolic effects, preclinical models have a clear role in uncovering underlying molecular mechanisms. However, with few exceptions, preclinical studies have been performed in healthy animals, neglecting the contribution of dysmetabolic features inherent to psychotic disorders. In this study, methylazoxymethanol acetate (MAM) was prenatally administered to pregnant Sprague-Dawley rats at gestational day 17 to induce a well-validated neurodevelopmental model of schizophrenia mimicking its assumed pathogenesis with persistent phenotype. Against this background, the dysmetabolic effects of acute treatment with olanzapine and haloperidol were examined in female rats. Prenatally MAM-exposed animals exhibited several metabolic features, including lipid disturbances. Half of the MAM rats exposed to olanzapine had pronounced serum lipid profile alteration compared to non-MAM controls, interpreted as a reflection of a delicate MAM-induced metabolic balance disrupted by olanzapine. In accordance with the drugs' clinical metabolic profiles, olanzapine-associated dysmetabolic effects were more pronounced than haloperidol-associated dysmetabolic effects in non-MAM rats and rats exposed to MAM. Our results demonstrate metabolic vulnerability in female prenatally MAM-exposed rats, indicating that findings from healthy animals likely provide an underestimated impression of metabolic dysfunction associated with antipsychotics. In the context of metabolic disturbances, neurodevelopmental models possess a relevant background, and the search for adequate animal models should receive more attention within the field of experimental psychopharmacology.

The complexities of moving topics between disciplines: the case of buoyancy and isostasy

ABSTRACT ‘A lack of prior knowledge in the other discipline’ is often given by geoscience instructors to explain why students struggle to apply knowledge from other disciplines to the Earth. We examine this assumption by considering the disciplinary crossing of buoyancy (physics) to isostasy (geoscience). We investigate the teachers’ perspective through workshops, and use the theoretical framework of Interdisciplinary Reasoning and Communication to explore what geoscience textbooks ask of students. Most introductory textbooks rely on students applying pre-existing knowledge of hydrostatics in a geoscience context (forwards transfer), while intermediate and advanced textbooks develop the necessary physics explicitly in a geoscientific context (backwards transfer). Moreover, introductory textbooks frequently use analogies for concrete translation between physics and geoscience ideas, but the analogical relations and where they break down (relational translations), receive little attention. This places high demands on students’ prior understanding of hydrostatics to successfully integrate and transfer knowledge from physics to geoscience. If students lack the relevant physics background, introductory textbooks may force them to rely on intuitive ideas of physics, potentially reinforcing old, and giving rise to new misconceptions. Our results move the focus from perceived shortcomings of students to the demands made on them in interdisciplinary learning.

3D Brain and Heart Volume Generative Models: A Survey

Generative models such as generative adversarial networks and autoencoders have gained a great deal of attention in the medical field due to their excellent data generation capability. This article provides a comprehensive survey of generative models for 3D volumes, focusing on the brain and heart. A new and elaborate taxonomy of unconditional and conditional generative models is proposed to cover diverse medical tasks for the brain and heart: unconditional synthesis, classification, conditional synthesis, segmentation, denoising, detection, and registration. We provide relevant background, examine each task, and also suggest potential future directions. A list of the latest publications will be updated on GitHub to keep up with the rapid influx of papers at https://github.com/csyanbin/3D-Medical-Generative-Survey .

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

The thermal comfort evaluation of the urban environment arouses widespread concern among scholars, and research in this field is mostly based on thermal comfort evaluation indexes such as PMV, PET, SET, UTCI, etc. These thermal comfort index evaluation models are complex in the calculation process and poor in operability, which makes it difficult for people who lack a relevant knowledge background to understand, calculate, and apply them. The purpose of this study is to provide a simple, efficient, and easy-to-operate outdoor thermal comfort evaluation model for severe cold areas in China using a machine learning method. In this study, the physical environment parameters are obtained by field measurement, and individual information is obtained by a field questionnaire survey. The applicability of four machine learning models in outdoor thermal comfort evaluation is studied. A total of 320 questionnaires are collected. The results show that the correlation coefficients between predicted values and voting values of the extreme gradient lifting model, gradient lifting model, random forest model, and neural network model are 0.9313, 0.7148, 0.9115, and 0.5325, respectively. Further analysis of the extreme gradient model with the highest correlation coefficient shows that individual factors (such as residence time, distance between hometown and residence, clothing, age, height, and weight) and environmental factors (such as air humidity (RH), wind speed (v), air temperature (Ta), and black bulb temperature (Tg)) have different influences on thermal comfort evaluation. In summary, using a machine learning method to evaluate outdoor thermal comfort is simpler, more direct, and more efficient, and it can make up for the lack of consideration of complex individual factors in the evaluation method of thermal comfort index. The results have reference value and application value for the research of outdoor thermal comfort evaluation in severe cold areas of China.

The Influence of Digital Transformation of Higher Education on China University Teaching Management

With the rapid development of information technology, higher education is welcoming the era of digital transformation. This paper discusses the influence of the digital transformation of higher education on the management of China university teaching, and through the analysis of the relevant background, process and effect, deeply analyzes the comprehensive changes of the digital transformation on the education system. Digital transformation enables universities to build more advanced digital infrastructure, strengthen the digital management of teaching resources, and achieve a significant improvement in teaching efficiency. The comprehensive sharing and collaboration of information also provides more opportunities for cooperation between teachers and students, and promotes the overall upgrading of education and teaching. However, digital transformation has also brought a series of challenges. Information security, digital literacy of teachers and students, adjustment of management system and other issues need to be solved urgently. In the process of digital transformation, universities need to adopt practical strategies to improve the digital literacy level of teachers and students, ensure information security and flexibly adjust the management system. The digital transformation of higher education has a dual impact on the management of China university teaching, which not only brings brand-new opportunities for teaching, but also presents a series of challenges that need to be taken seriously. Only through comprehensive and in-depth understanding and response can universities better meet the future educational challenges in the digital age.

Temporal Environmental Status of a Shallow Lake Using Alpha and Beta Diversity on Phytoplankton Communities

Phytoplankton communities are excellent indicators of the environmental status of shallow lakes since changes in diversity alert us to potential deterioration. To assess the environmental condition of a shallow lake with strong anthropogenic pressure from forest monocultures, alpha and beta diversities were determined. Three monitoring stations were established in the shallow Kusrüpuyewe Lake, southern Chile, which were monitored during the 2021 austral summer and winter. Alpha diversity was high indicating a stable environmental condition. In total, 103 species in summer, 96 species in winter and a high species diversity (Shannon index: H′ > 5 bits/ind) were recorded. Beta diversity indicated that this ecosystem is seasonally heterogeneous, is potentially productive and has a high species turnover. Based on the large species inventory, we conclude that this shallow lake is stable and diverse. Although it is threatened by the presence of forest monocultures, it maintains a stable environmental condition, mainly due to the ability of the phytoplankton present to self-regulate through the species turnover. This study provides the relevant background information to establish conservation measures around the shallow lake, an ecosystem that provides various ecosystem services for the local indigenous communities.

Investigating the academic attainment and progress of children in receipt of individual counselling: A matched comparison study of primary school age children in England

AbstractIntroductionIn 2016, the UK government identified the need for counselling services in schools to be evidence‐based (Department for Education, 2016). While there is more empirical evidence on counselling and improvement in mental health (Daniunaite et al., Counselling and Psychotherapy Research, 2015, 15, 251; Finning et al., European Child & Adolescent Psychiatry, 2022, 31, 1591), less is known about the associations of counselling with children's academic attainment and progress.MethodThe aim of the paper was to provide more pieces of evidence on the possible associations between school‐based individual counselling and the academic attainment and progress of primary school–aged children. The academic outcomes of children receiving one‐to‐one counselling were compared with those of children who did not receive counselling, but who had similar background characteristics. Coarsened exact matching method was used to match similar children for these comparisons based on national data sets available in England. Data were analysed with inferential statistics and multilinear regression.FindingsBefore matching the samples, analyses revealed children attending Place2Be's counselling services were significantly more likely to be boys (56.6% vs. 51.1%), of ethnic minority origin (46.4% vs. 21.5%), eligible for free school meals (FSM; 52.7% vs. 16.9%) and have special educational needs and disabilities (SEND) status (43.1% vs. 21.1%) than the comparison group. They also had lower academic attainment than children who were not in counselling. However, after a coarsened exact matching on relevant background characteristics, the Place2Be sample was found to have similar levels of academic progress to the matched national sample, suggesting they did not fall behind similar children.ConclusionsFindings indicate that individual school‐based counselling may be helpful as a potential intervention for supporting vulnerable children's (defined as those identified by schools or parents as in need of individual counselling) academic progress in primary schools, as well as socio‐emotional outcomes; however, further research is needed.

Low temperature controllable synthesis of transition metal and rare earth borides mediated by molten salt

Transition meal and rare earth borides have been subjected to extensive investigations because of their unique structures, superior properties and diverse applications. Conventional methods for their syntheses suffer from various drawbacks. So several alternative approaches have been explored. Among them, the so-called ‘molten salt synthesis (MSS)’ technique has proved promising. Over the past 10–15 years, it has been used to prepare a range of transition metal and rare earth borides. In this paper, the main results from these studies are reviewed. Initially, the relevant background on metal borides and their conventional synthesis methods are introduced, followed by the main principles/mechanisms of MSS. The following three sections provide an overview of the main work on MSS of binary and ternary borides, boride solid solutions, and boride-based composite powders. Then, two newly modified MSS approaches are presented. Finally, the main issues covered in this paper are summarised, and future prospects considered.

Association of European Paediatric and Congenital Cardiology practical recommendations for surveillance and prevention of cardiac disease in childhood cancer survivors: the importance of physical activity and lifestyle changes From the Association of European Paediatric and Congenital Cardiology Working Group Sports Cardiology, Physical Activity and Prevention, Working Group Adult Congenital Heart Disease, Working Group Imaging and Working Group Heart Failure.

Childhood cancer survivors are at increased risk of developing cardiovascular diseases, presenting as the main causes of morbidity and mortality within this group. Besides the usual primary and secondary prevention in combination with screening during follow-up, the modifiable lifestyle factors of physical activity, nutrition, and body weight have not yet gained enough attention regarding potential cardiovascular risk reduction. These practical recommendations aim to provide summarised information and practical implications to paediatricians and health professionals treating childhood cancer survivors to reduce the risk of cardiovascular late effects. The content derives from either published guidelines or expert opinions from Association of European Paediatric and Congenital Cardiology working groups and is in accordance with current state-of-the-art. All usual methods of prevention and screening regarding the risk, monitoring, and treatment of occurring cardiovascular diseases are summarised. Additionally, modifiable lifestyle factors are explained, and clear practical implications are named. Modifiable lifestyle factors should definitely be considered as a cost-effective and complementary approach to already implemented follow-up care programs in cardio-oncology, which can be actively addressed by the survivors themselves. However, treating physicians are strongly encouraged to support survivors to develop and maintain a healthy lifestyle, including physical activity as one of the major influencing factors. This article summarises relevant background information and provides specific practical recommendations on how to advise survivors to increase their level of physical activity.

Trajectories of maternal depressive and anxiety symptoms and child's socio-emotional outcome during early childhood

Maternal symptoms of depression and anxiety during pregnancy and early postnatal years are suggested to impose differential negative effects on child's socio-emotional development depending on the characteristics of the symptoms, such as timing, intensity, and persistence. The aim of this study was to identify trajectories of maternal depressive and anxiety symptoms from pregnancy until 2 years postpartum and to examine their relationship with child socio-emotional problems and competence at 2 and 5 years of age.The sample included 1208 mother-infant dyads from FinnBrain Birth Cohort study. Latent growth mixture modelling (LGMM) was utilized to model the trajectories of maternal depressive symptoms, measured using the Edinburgh Postnatal Depression Scale (EPDS), and general anxiety, measured with Symptom Checklist-90 (SCL-90) at 14, 24, and 34 weeks' gestation (gw) and at 3, 6 and 24 months postpartum. Maternal depression was also assessed at 12 months. Child socio-emotional problems and competence were evaluated using the Brief Infant Toddler Social Emotional Assessment (BITSEA) at 2 years and Strengths and Difficulties Questionnaire (SDQ) at 5 years. Relevant background factors and maternal concurrent symptomatology were controlled for.The trajectories of maternal depressive and anxiety symptoms were associated negatively with differential aspects of child long term socio-emotional outcomes from early toddlerhood to preschool years. The trajectories of depressive symptoms and high-level persistent symptoms that continued from pregnancy to two years of child age had the strongest negative association with child outcomes. This highlights the importance of identifying and treating maternal symptomatology, especially that of depression, as early as possible.

Early prediction of MOOC dropout in self-paced students using deep learning

ABSTRACT To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows: Firstly, the dropout rate among self-paced students in MOOCs exceeds 90%, with over 50% of students participating in online learning activities for only one day. Furthermore, the starting dates for students in the same course differ significantly. Secondly, leveraging early learning behavior and relevant background features, the proposed early prediction model accurately predicts over 98% of dropout cases and identifies over 50% of engaged students. Through training, the model's convolutional kernels capture meaningful weights for different days and activities. Lastly, background features related to students and courses have a more significant impact on dropout rates. The utilization of resources such as videos and active participation in learning activities, like asking questions, demonstrate a particularly significant influence on dropout rates. Notably, there is no fixed period that consistently affects dropout rates. These method and findings provide effective strategies for decreasing dropout rates and improving student engagement.

The Teen Witch and the Complexity of Care Under Capitalism Through a Case Study of Chilling Adventures of Sabrina

The contemporary teen witch figure is conceived of and represented in a way that is interrelated with young adult media culture. Through an examination of the show Chilling Adventures of Sabrina, as well as teen witches in popular culture, contemporary alternative spirituality, and witch hunts in mediaeval Europe, I explore how the extra-ordinary girl figure like Sabrina the witch is culturally and historically symbolic of how care practices become defiant amidst capitalism. I draw connections between the teen witch, the teen girl in contemporary North American society, and ideology within the context of care as resistance to capitalism. Through textual analysis of Sabrina, qualitative research, and a brief discussion of the relevant socio-historical background, I emphasize that the teen witch figure today must be read within the context of capitalism and neoliberalism. Moreover, the multiple methods I use illuminate the various ways the defiant girl’s care can be both valorized and weaponized. I draw upon real and fictional girls to demonstrate that there is a link between the fictitious co-opted witch in contemporary popular media and real women who were labelled witches around the emergence of capitalism. I explore the significance of the show Sabrina, alongside socio-cultural phenomenon of present-day alternative spirituality and the ‘witch’ of feudalism in Europe.

A Clinically Feasible Electrode Array for 3D Intraoperative Electrical Impedance Tomography-Based Surgical Margin Assessment in Robot-Assisted Radical Prostatectomy.

A novel small form factor circular electrode array was designed specifically for electrical impedance tomography (EIT) based assessment of surgical margins during robot assisted radical prostatectomy (RARP). The electrode array consists of 33 gold-plated electrodes arranged within a 9.5mm diameter circular footprint on the end of a surgical probe that can be introduced through a standard 12mm laparoscopic port used during RARP. The electrode array contains 8 larger, low-contact impedance outer electrodes dedicated for current drive and an internal grid of 25 smaller electrodes for simultaneous voltage measurement. Separating electrode geometry by function is designed to improve current delivery, speed, and resolution while reducing hardware requirements. Simulations demonstrated that 1mm diameter hemispherical prostate cancer inclusions could be localized within regions of adipose and benign prostate tissue; 1.5mm diameter inclusions were required for localization within muscle tissue. A 2.38mm diameter aluminum rod in 0.2 S/m saline could be localized throughout the imaging domain with a position error of less than 2.5mm for depths from the electrode array surface of up to 1.7mm. Ex vivo tissue experiments with a bovine model demonstrate visual congruence of muscle and adipose tissue locations between the sample and reconstructed images. Simulation and experimental results indicate good detection and location of inclusions. These results suggest the proposed electrode array design can provide sufficient accuracy in the detection and localization of prostate cancer against clinically relevant background tissues for use during RARP.