Instrumental analysis is an important professional course for many chemistry majors. Its teaching content is rich, diverse and is closely related to daily life. Moreover, this course contains a large number of ideological and political resources. This study investigates chromatography technology in instrumental analysis as an example, focusing on aspects such as chromatography knowledge, solution preparation, standard operations, and guided experiments, to deeply explore the elements of ideological and political education and organically integrate them into the teaching of instrumental analysis courses. Academic teaching of professional knowledge increases the diversity and richness of the teaching content and enhances the innovative skills of the students. In addition, this teaching method can inspire students to establish life goals and great ideals, with the aim of ultimately cultivating moral people.

BACKGROUND: Solving complex research challenges requires innovative thinking and alternative approaches to traditional methods. One such example is the problem of arm and hand, or upper limb function in multiple sclerosis (MS), a neurological condition affecting approximately 2.9 million people worldwide and more than 150,000 in the United Kingdom. Historically, clinical trials and research have focused on mobility and walking ability. This excludes a large number of patients who are wheelchair users, limiting their quality of life and restricting access to possibly helpful medications. To address this issue, the ThinkHand campaign was launched in 2016, aiming to raise awareness about the importance of upper limb function in MS and develop alternative ways to measure, record, and account for hand and arm function changes.
METHODS: The campaign utilised innovative strategies at scientific conferences and online surveys to engage people affected by MS, healthcare professionals, charities, and researchers in discussing the importance of preserving upper limb function. Through co-design and interdisciplinary collaboration, the campaign developed new tools like the low-cost cardboard version of the Nine-Hole Peg Test, facilitating remote monitoring of hand function. Additionally, the campaign co-created the \"Under & Over\" rehabilitation tool, allowing individuals with advanced MS to participate in a remote rehabilitation program.The impact of the ThinkHand campaign has been significant, helping to shift the focus of both academic and industry-supported trials, including the O\'HAND and ChariotMS trials, both using upper limb function as their primary end point. The campaign\'s patient-centred approach highlighted the importance of recognising patients\' perspectives in research and challenged established assumptions and practices. It demonstrated the effectiveness of interdisciplinary collaboration, systems thinking, and co-creation with stakeholders in tackling complex problems.
CONCLUSIONS: The ThinkHand campaign provides valuable insights for health research practices. By involving patients at all stages, researchers can gain a deeper understanding of the impact of disease on their lives, identify gaps and focus research on their needs. Experimentation and iteration can lead to innovative solutions, and openness to unconventional methods can drive widespread change. The ThinkHand campaign exemplifies the potential of patient-centred approaches to address complex research challenges and revolutionise the field of MS research and management. Embracing such approaches will contribute to more inclusive and impactful research in the future.
Solving complex research challenges requires creative thinking and new ways of doing things. One such challenge is understanding the problems with arm and hand function in multiple sclerosis (MS), a neurological condition that affects more than 150,000 in the United Kingdom. In the past, research focused mainly on walking ability, leaving out many people who use wheelchairs.To tackle this issue, we created the ThinkHand campaign in 2016. Its goal was to raise awareness about the importance of hand and arm function for people with MS (pwMS) and find better ways to measure changes in these functions such that they can become outcomes in clinical trials. This could provide a pathway to better treatments for pwMS who cannot walk.The campaign used various methods, including surveys, social media posts, exhibitions and music to involve pwMS, healthcare professionals, charities, and researchers in discussions about the issues. Working together, they created tools to support pwMS, particularly those at an advanced stage of the disease (pwAMS), to take part in research and measure their hand and arm function. Through our collaborative approach focusing on patients’ perspectives, the campaign challenged old ideas and deeply embedded practices. It showed that collaboration between different areas of expertise involving pwMS at all stages of research can help solve complex problems. This campaign teaches us valuable lessons for health research. When researchers listen to patients and try new things, they can better understand how a disease affects people’s lives and develop better solutions.In conclusion, we show how embracing a patient-centred approach can address complex research challenges and improve how we study and manage MS and other conditions in the future.

Digital smile design (DSD) plays an essential role in the planning of aesthetic treatments. However, most digital smile designing software programmes are expensive and require specialised training and skill for effective implementation. This paper illustrates the use of Adobe Photoshop and Microsoft PowerPoint, which are economical and user friendly for planning aesthetics in a clinical case.

Congenital limb defects occur when a limb does not develop normally during pregnancy. The quality of each person\'s everyday life is significantly impacted by any of these defects and there is no concrete treatment. 3D modeling and printing, enables the creation and customization of precise virtual and/or physical models, including models of the human anatomy. These technologies provide a novel method of producing new devices with optimized design and production time, improving adaptability, and incorporating functionality. To this end, we propose a method of designing and producing 3D printed assistive devices and we also present an example of an assistive device, done in the 3D Printing Center for Health, as well as its impact on the patient\'s daily life. With this device, the patient became able to play the guitar and hold a knife, thus helping on these two activities.

BACKGROUND: Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual information on the occurrences. Accurate classification of PSE reports is crucial for patient safety monitoring. However, this process faces challenges due to inconsistencies in classifications and the sheer volume of reports. Recent advancements in text representation, particularly contextual text representation derived from transformer-based language models, offer a promising solution for more precise PSE report classification. Integrating the machine learning (ML) classifier necessitates a balance between human expertise and artificial intelligence (AI). Central to this integration is the concept of explainability, which is crucial for building trust and ensuring effective human-AI collaboration.
OBJECTIVE: This study aims to investigate the efficacy of ML classifiers trained using contextual text representation in automatically classifying PSE reports. Furthermore, the study presents an interface that integrates the ML classifier with the explainability technique to facilitate human-AI collaboration for PSE report classification.
METHODS: This study used a data set of 861 PSE reports from a large academic hospital\'s maternity units in the Southeastern United States. Various ML classifiers were trained with both static and contextual text representations of PSE reports. The trained ML classifiers were evaluated with multiclass classification metrics and the confusion matrix. The local interpretable model-agnostic explanations (LIME) technique was used to provide the rationale for the ML classifier\'s predictions. An interface that integrates the ML classifier with the LIME technique was designed for incident reporting systems.
RESULTS: The top-performing classifier using contextual representation was able to obtain an accuracy of 75.4% (95/126) compared to an accuracy of 66.7% (84/126) by the top-performing classifier trained using static text representation. A PSE reporting interface has been designed to facilitate human-AI collaboration in PSE report classification. In this design, the ML classifier recommends the top 2 most probable event types, along with the explanations for the prediction, enabling PSE reporters and patient safety analysts to choose the most suitable one. The LIME technique showed that the classifier occasionally relies on arbitrary words for classification, emphasizing the necessity of human oversight.
CONCLUSIONS: This study demonstrates that training ML classifiers with contextual text representations can significantly enhance the accuracy of PSE report classification. The interface designed in this study lays the foundation for human-AI collaboration in the classification of PSE reports. The insights gained from this research enhance the decision-making process in PSE report classification, enabling hospitals to more efficiently identify potential risks and hazards and enabling patient safety analysts to take timely actions to prevent patient harm.

BACKGROUND: Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death in the United States. Case-based learning using electronic delivery of the modules can educate clinicians and improve translation of evidence-based guidelines into practice for high-risk ASCVD patients.
OBJECTIVE: To develop and optimize module design, content, and usability of e-learning modules to teach clinicians evidence-based management in accordance with multi-society guidelines for high-risk ASCVD patients that will be implemented and evaluated in U.S. health systems in the TEACH-ASCVD study.
METHODS: Seven e-learning modules were created by a committee of lipid experts. Focus groups were conducted with lipid experts to elicit feedback on case content followed by interviews with a target audience of clinicians to assess usability of the online module platform. Responses from both groups were evaluated, and appropriate changes were made to improve the e-learning modules. Design of the TEACH-ASCVD study is presented.
RESULTS: Feedback regarding case content by lipid experts included providing more detailed patient histories, clarifying various diagnostic criteria, and emphasizing clinical best practices based on evidence-based guidelines. The target audience clinician group reported an agreeable experience with the e-learning modules but noted a discordance between the evidence-based guidelines and clinical decision-making in their own practices. Participants felt the modules would help educate clinicians in managing high-risk ASCVD patients.
CONCLUSIONS: Clinicians must be informed of best practices as the field of lipidology continues to evolve. E-learning modules provide a concise, valuable, and accessible mechanism for educating clinicians regarding changes in the field to deliver the best patient care.

BACKGROUND: Just-in-time adaptive interventions (JITAIs) in mobile health are an intervention design that provides behavior change support based on an individual\'s changing and dynamic contextual state. However, few studies have documented how end users of JITAI technologies are involved in their development, particularly from historically marginalized families and children. Less is known for public health researchers and designers of the tensions that occur as families negotiate their needs.
OBJECTIVE: We aimed to broaden our understanding of how historically marginalized families are included in co-design from a public health perspective. We sought to address research questions surrounding JITAIs; co-design; and working with historically marginalized families, including Black, Indigenous, and people of color (BIPOC) children and adults, regarding improving sun protection behaviors. We sought to better understand value tensions in parents\' and children\'s needs regarding mobile health technologies and how design decisions are made.
METHODS: We examined 2 sets of co-design data (local and web-based) pertaining to a larger study on mobile SunSmart JITAI technologies with families in Los Angeles, California, United States, who were predominantly of Latinx and multiracial backgrounds. In these co-design sessions, we conducted stakeholder analysis through perceptions of harms and benefits and an assessment of stakeholder views and values. We open coded the data and compared the developed themes using a value-sensitive design framework by examining value tensions to help organize our qualitative data. Our study is formatted through a narrative case study that captures the essential meanings and qualities that are difficult to present, such as quotes in isolation.
RESULTS: We presented 3 major themes from our co-design data: different experiences with the sun and protection, misconceptions about the sun and sun protection, and technological design and expectations. We also provided value flow (opportunities for design), value dam (challenges to design), or value flow or dam (a hybrid problem) subthemes. For each subtheme, we provided a design decision and a response we ended up making based on what was presented and the kinds of value tensions we observed.
CONCLUSIONS: We provide empirical data to show what it is like to work with multiple BIPOC stakeholders in the roles of families and children. We demonstrate the use of the value tension framework to explain the different needs of multiple stakeholders and technology development. Specifically, we demonstrate that the value tension framework helps sort our participants\' co-design responses into clear and easy-to-understand design guidelines. Using the value tension framework, we were able to sort the tensions between children and adults, family socioeconomic and health wellness needs, and researchers and participants while being able to make specific design decisions from this organized view. Finally, we provide design implications and guidance for the development of JITAI mobile interventions for BIPOC families.

The school grounds provide students opportunities for respite, relaxation and relief from daily stresses during breaks in the school day. However, it is unclear whether secondary schoolyard designs adequately support the diverse and evolving needs of adolescents, particularly at a time when they are experiencing rapid emotional and physical developmental change. To investigate this, quantitative methods were used to explore differences in perceptions of schoolyard attractiveness and restorative quality based on student gender and year level. A school-wide survey was administered to approximately 284 students in years 7 to 10 at a secondary school in Canberra, Australia. Results indicate significant declines in student perceptions of schoolyard attractiveness and restorative quality. Higher ratings of schoolyard likeability, accessibility, personal connection and restorative quality of \'being away\' were associated with male students across all year levels. Further work is needed to explore how schoolyard environments can better support the design preferences and well-being needs of older and female students. Such information would help planners, designers and land managers develop schoolyard designs that are more equitable in their benefits to secondary school students of different genders and year levels.

BACKGROUND: Innovation and entrepreneurship training are increasingly recognized as being important in medical education. However, the lack of faculty comfort with the instruction of these concepts as well as limited scholarly recognition for this work has limited the implementation of curricula focused on these skills. Furthermore, this lack of familiarity limits the inclusion of practicing physicians in health care innovation, where their experience is valuable. Hackathons are intense innovation competitions that use gamification principles to increase comfort with creative thinking, problem-solving, and interpersonal collaboration, but they require further exploration in medical innovation.
OBJECTIVE: To address this, we aimed to design, implement, and evaluate a health care hackathon with 2 main goals: to improve emergency physician familiarity with the principles of health care innovation and entrepreneurship and to develop innovative solutions to 3 discrete problems facing emergency medicine physicians and patients.
METHODS: We used previously described practices for conducting hackathons to develop and implement our hackathon (HackED!). We partnered with the American College of Emergency Physicians, the Stanford School of Biodesign, and the Institute of Design at Stanford (d.school) to lend institutional support and expertise in health care innovation to our event. We determined a location, time frame, and logistics for the competition and settled on 3 use cases for teams to work on. We planned to explore the learning experience of participants within a pragmatic paradigm and complete an abductive thematic analysis using data from a variety of sources.
RESULTS: HackED! took place from October 1-3, 2022. In all, 3 teams developed novel solutions to each of the use cases. Our investigation into the educational experience of participants suggested that the event was valuable and uncovered themes suggesting that the learning experience could be understood within a framework from entrepreneurship education not previously described in relation to hackathons.
CONCLUSIONS: Health care hackathons appear to be a viable method of increasing physician experience with innovation and entrepreneurship principles and addressing complex problems in health care. Hackathons should be considered as part of educational programs that focus on these concepts.

The market for electric bicycles has grown extremely and developed rapidly in recent years. To enter such a market with a new product, the development process has to be fast, and throughout the process, feedback from future potential customer(s) should be sought in order to achieve the best possible market acceptance. The article presents the design process of a pedelec e-bike central drive system. The authors were members of the development team and the designers of the mechanical transmission, and therefore had a good overview of the whole project. The development process and the set-up of production require a certain amount of time, during which design changes are inevitable due to changes in customer expectations and demands. The development team should respond to these changes and take them into account during development. Only the ability to react to changes and constant communication with the customer will ultimately lead to a product that can be commercially successful. Based on a critical review of the successfully completed project, general guidelines were established for the development of mechatronic products that consider the principles of Agile methodology. Particular attention was paid to the development of polymer gears, as these were the most demanding components in the system. The presented guidelines were based on an overview of the e-bike R&D process presented, but they can be generalized and used in the development process of any technical physical product. Agile methods were developed in the field of software development and therefore cannot be directly transferred to the field of physical product development. The article highlights and discusses individual special features that distinguish agile development of physical products from software development.