Cost-effective, open-source light shutters with Arduino control.

In optical experiments, shutters are devices that open or close a path of light. They are often used to limit the duration of light exposure onto a target or onto a detector to reduce possible light-induced damage. Many commercial shutters are available for different applications - some provide very fast opening and closing times, some can handle large optical powers, and others allow for fail-safe operation. Many of these devices are costly and offer limited control options. Here we provide an open-source design for a low-cost, general purpose shutter system based on ubiquitous actuators (servo motors or solenoids) that are connected to an Arduino-based controller. Several shutters can be controlled by one controller, further reducing system cost. The state of the shutters can be controlled via a display built into the controller, by serial commands via USB, or by electrical control lines. The use of a microcontroller makes the shutter controller adaptable - only control options that are used need to be included, and the design accommodates a selection of display and actuator options. We provide designs for all required components, including 3D print files for the actuator holders and cases, the Arduino code, libraries for serial communication (C and python), and example graphical user interfaces for testing.

Influence of learning strategies and motivation on anatomy test performance of undergraduate medical students.

To learn and comprehend the large amount of information in gross anatomy, undergraduate students must self-regulate their learning to be properly prepared for the exams within the available time. Even though there are many studies on learning strategies and their influence on test results and motivation, the aim of this study is to investigate characteristics of learning strategies in detail and in relation to the anatomy course of first semester students and how their use is related to anatomy test performance. For assessing the learning strategies, we used the short version of the questionnaire "Learning Strategies of University Students" (LIST-K) (Klingsieck, 2018). Further, we investigated potential influences of motivation and resources used during the self-regulated learning process. The participants in this study (N = 108) filled in the above-mentioned questionnaire LIST-K and a written multiple-choice anatomy test. A k-means cluster analysis revealed three groups of students differing in their self-reported use of learning strategies. Students used either (1) predominantly metacognitive and resource-related strategies, (2) predominantly cognitive strategies, or (3) no specific learning strategies at all. We found no significant overall relationships between the use of learning strategies and test performance. A stepwise linear regression identified the use of cognitive learning strategies (ß =.269) as a significant predictor for test performance (R² =.149, p =.003), possibly as these specific learning strategies help with a systematic and effective approach while studying anatomy and retrieving large amount of memorized information. Further, motivation was identified as a negative predictor (ß = -.277), which might be a result of the short time periods students have to study for exams. Overall findings underline the importance of self-regulated learning as a positive predictor for academic performance. By understanding these factors, a more student-centered approach could be adopted by educators to improve medical education and equip students with valuable approaches for their continuous education, even beyond university.

Tumor board simulation improves interdisciplinary decision-making in medical students.

INTRODUCTION: Training of interdisciplinary clinical reasoning and decision-making skills, essential in daily clinical practice in oncological specialties, are still underrepresented in medical education. Therefore, at LMU University Hospital Munich, we implemented a didactically modified tumor board simulation with experts from five different disciplines (medical oncology, pathology, radiation oncology, radiology, and surgery) presenting patient cases into a one-week course on the basic principles of oncology. In this survey, we examined the self-assessed impact of our course on the interdisciplinary decision-making skills of medical students. METHODS: Between November-December 2023 and January-February 2024, we surveyed two cohorts of medical students in the third year of medical school in our one-week course before and after participating in the tumor board simulation. The objective was to evaluate the self-assessed knowledge in interdisciplinary clinical decision-making, in integrating ethical considerations into clinical reasoning, and in comprehension of various professional viewpoints in interdisciplinary decision-making. Knowledge was assessed using a five-step Likert scale from 1 (no knowledge) to 5 (complete knowledge). RESULTS: The survey was answered by 76 students before and 55 after the simulation, equaling 60-70% of all 100 course participants. Mean knowledge level regarding principles of interdisciplinary clinical decision-making improved significantly in all of the following exemplary aspects: purpose and procedure of tumor boards in clinical practice (from 2.4 ± 1.1 to 4.0 ± 1.0, Spearman's ρ = 0.6, p < 0.001), principles of dealing with ethical challenges in oncology (from 2.4 ± 1.1 to 3.4 ± 1.0, ρ = 0.4, p < 0.001), and principles of shared decision-making in oncology (2.7 ± 1.1 to 3.7 ± 1.0, ρ = 0.4, p < 0.001). Students reported that their skills in clinical decision-making and ability to discuss oncological patient cases from different professional viewpoints improved due to the teaching course. CONCLUSION: By employing our interdisciplinary one-week course and a didactically modified tumor board simulation featuring experts from various oncological disciplines, medical students' comprehension of interdisciplinary clinical decision-making in oncology improved significantly.

Prevalence of Anxiety and Depression Symptoms among University Teachers in Ethiopia during the COVID-19 Pandemic.

A growing body of evidence suggests an increased prevalence of anxiety and depression among teachers during the COVID-19 pandemic. However, there is little evidence in research documenting the extent of anxiety and depression in the university teacher population and how these relate to feelings of loneliness. This study aims to explore the prevalence of anxiety and depression symptoms among university teachers, identify differences, and further examine the relationships between loneliness and symptoms of anxiety and depression. The study participants included university teachers in the College of Health and Medical Sciences from four purposefully selected public universities who completed a survey questionnaire consisting of items that measured anxiety and depressive symptoms as well as loneliness. The final sample included 148 participants (45 participants [30.4%] located in the center or capital; 125 (83.1%) men; and 90 [62.5%] taught both online and face-to-face). The university teachers' sample mean age = 39.07 had an SD = 7.67. As per the findings of this study, the prevalence of anxiety and depression symptoms was significant (11% and 12.3%) among university teachers in Ethiopia during the COVID-19 pandemic. Also, this study found a significant association between these symptoms and loneliness. Therefore, incorporating relevant strategies to promote mental well-being and targeting individuals who felt lonely were essential for overcoming health-related burdens. Universities should equip teachers with resources to prevent mental health issues and offer need-based counseling services to alleviate them.

p53 target ANKRA2 cooperates with RFX7 to regulate tumor suppressor genes.

The transcription factor regulatory factor X 7 (RFX7) has been identified as a tumor suppressor that is recurrently mutated in lymphoid cancers and appears to be dysregulated in many other cancers. RFX7 is activated by the well-known tumor suppressor p53 and regulates several other known tumor suppressor genes. However, what other factors regulate RFX7 and its target genes remains unclear. Here, reporter gene assays were used to identify that RFX7 regulates the tumor suppressor gene PDCD4 through direct interaction with its X-box promoter motif. We utilized mass spectrometry to identify factors that bind to DNA together with RFX7. In addition to RFX7, we also identified RFX5, RFXAP, RFXANK, and ANKRA2 that bind to the X-box motif in the PDCD4 promoter. We demonstrate that ANKRA2 is a bona fide direct p53 target gene. We used transcriptome analyses in two cell systems to identify genes regulated by ANKRA2, its sibling RFXANK, and RFX7. These results revealed that ANKRA2 functions as a critical cofactor of RFX7, whereas RFXANK regulates largely distinct gene sets.

The genetic architecture of repeated local adaptation to climate in distantly related plants.

Closely related species often use the same genes to adapt to similar environments. However, we know little about why such genes possess increased adaptive potential and whether this is conserved across deeper evolutionary lineages. Adaptation to climate presents a natural laboratory to test these ideas, as even distantly related species must contend with similar stresses. Here, we re-analyse genomic data from thousands of individuals from 25 plant species as diverged as lodgepole pine and Arabidopsis (~300 Myr). We test for genetic repeatability based on within-species associations between allele frequencies in genes and variation in 21 climate variables. Our results demonstrate significant statistical evidence for genetic repeatability across deep time that is not expected under randomness, identifying a suite of 108 gene families (orthogroups) and gene functions that repeatedly drive local adaptation to climate. This set includes many orthogroups with well-known functions in abiotic stress response. Using gene co-expression networks to quantify pleiotropy, we find that orthogroups with stronger evidence for repeatability exhibit greater network centrality and broader expression across tissues (higher pleiotropy), contrary to the 'cost of complexity' theory. These gene families may be important in helping wild and crop species cope with future climate change, representing important candidates for future study.

A multicenter study on accuracy and reproducibility of nanopore sequencing-based genotyping of bacterial pathogens.

Nanopore sequencing has shown the potential to democratize genomic pathogen surveillance due to its ease of use and low entry cost. However, recent genotyping studies showed discrepant results compared to gold-standard short-read sequencing. Furthermore, although essential for widespread application, the reproducibility of nanopore-only genotyping remains largely unresolved. In our multicenter performance study involving five laboratories, four public health-relevant bacterial species were sequenced with the latest R10.4.1 flow cells and V14 chemistry. Core genome MLST analysis of over 500 data sets revealed highly strain-specific typing errors in all species in each laboratory. Investigation of the methylation-related errors revealed consistent DNA motifs at error-prone sites across participants at read level. Depending on the frequency of incorrect target reads, this either leads to correct or incorrect typing, whereby only minimal frequency deviations can randomly determine the final result. PCR preamplification, recent basecalling model updates and an optimized polishing strategy notably diminished the non-reproducible typing. Our study highlights the potential for new errors to appear with each newly sequenced strain and lays the foundation for computational approaches to reduce such typing errors. In conclusion, our multicenter study shows the necessity for a new validation concept for nanopore sequencing-based, standardized bacterial typing, where single nucleotide accuracy is critical.

Why did I participate in an HIV vaccine study? Experiences of participation in the first phase II HIV vaccine trial in Mozambique: An ancillary study using a mixed-method approach.

Introduction: This study recognized the lack of information regarding recruitment and retention factors associated with implementing HIV vaccine trials from the perspective of de facto participants. It aimed to describe the motives and experiences of 31 young adults who participated in a phase II HIV vaccine clinical trial conducted in Maputo, Mozambique. Methods: This was an ancillary study with a mixed-method approach that employed a convergent design, combining both quantitative and qualitative methodologies. Data collection involved questionnaire surveys, in-depth interviews, and focus group discussions. Participants were assessed before and after learning whether they received the experimental vaccine or placebo. Thematic analysis was used for qualitative data, while descriptive analysis and statistical tests such as Fischer's test and McNemar's exact test were applied to quantitative data. The study also utilized the Health Belief Model to understand the decision-making process of participating in an HIV vaccine study. Results: Most of our participants were young females, single, with limited financial resources. Participants joined the trial with the belief that they had a unique opportunity to help the fight against HIV and contribute to the research for the discovery of an HIV vaccine. Positive experiences related to trial participation include gaining knowledge about HIV and personal health and receiving risk reduction counseling. Participants reported blood collection as a negative experience and that they suffered social harm because of trial participation. Participants felt abandoned after the trial ended. Conclusion: Preventive HIV vaccine trials should integrate a social-behavioral component to assess reasons for participation and refusal in real-time. Providing ongoing personal attention is crucial for young individuals who have committed 1-2 years to trial participation, extending beyond the trial period. Implementing tailored strategies for HIV risk assessment and reduction during and after the trial is essential. Addressing these factors can enhance preventive HIV vaccine trial implementation.

Nutritional Prehabilitation in Patients Undergoing Abdominal Surgery-A Narrative Review.

Malnutrition plays a crucial role as a risk factor in patients undergoing major abdominal surgery. To mitigate the risk of complications, nutritional prehabilitation has been recommended for malnourished patients and those at severe metabolic risk. Various approaches have been devised, ranging from traditional short-term conditioning lasting 7-14 days to longer periods integrated into a comprehensive multimodal prehabilitation program. However, a significant challenge is the considerable heterogeneity of nutritional interventions, leading to a lack of clear, synthesizable evidence for specific dietary recommendations. This narrative review aims to outline the concept of nutritional prehabilitation, offers practical recommendations for clinical implementation, and also highlights the barriers and facilitators involved.

Antimicrobial Resistance Surveillance: Data Harmonisation and Data Selection within Secondary Data Use.

Resistance to last-resort antibiotics is a global threat to public health. Therefore, surveillance and monitoring systems for antimicrobial resistance should be established on a national and international scale. For the development of a One Health surveillance system, we collected exemplary data on carbapenem and colistin-resistant bacterial isolates from human, animal, food, and environmental sources. We pooled secondary data from routine screenings, hospital outbreak investigations, and studies on antimicrobial resistance. For a joint One Health evaluation, this study incorporates epidemiological metadata with phenotypic resistance information and molecular data on the isolate level. To harmonise the heterogeneous original information for the intended use, we developed a generic strategy. By defining and categorising variables, followed by plausibility checks, we created a catalogue for prospective data collections and applied it to our dataset, enabling us to perform preliminary descriptive statistical analyses. This study shows the complexity of data management using heterogeneous secondary data pools and gives an insight into the early stages of the development of an AMR surveillance programme using secondary data.

Radiographical diagnostic competences of dental students using various feedback methods and integrating an artificial intelligence application-A randomized clinical trial.

INTRODUCTION: Radiographic diagnostic competences are a primary focus of dental education. This study assessed two feedback methods to enhance learning outcomes and explored the feasibility of artificial intelligence (AI) to support education. MATERIALS AND METHODS: Fourth-year dental students had access to 16 virtual radiological example cases for 8 weeks. They were randomly assigned to either elaborated feedback (eF) or knowledge of results feedback (KOR) based on expert consensus. Students´ diagnostic competences were tested on bitewing/periapical radiographs for detection of caries, apical periodontitis, accuracy for all radiological findings and image quality. We additionally assessed the accuracy of an AI system (dentalXrai Pro 3.0), where applicable. Data were analysed descriptively and using ROC analysis (accuracy, sensitivity, specificity, AUC). Groups were compared with Welch's t-test. RESULTS: Among 55 students, the eF group by large performed significantly better than the KOR group in detecting enamel caries (accuracy 0.840 ± 0.041, p = .196; sensitivity 0.638 ± 0.204, p = .037; specificity 0.859 ± 0.050, p = .410; ROC AUC 0.748 ± 0.094, p = .020), apical periodontitis (accuracy 0.813 ± 0.095, p = .011; sensitivity 0.476 ± 0.230, p = .003; specificity 0.914 ± 0.108, p = .292; ROC AUC 0.695 ± 0.123, p = .001) and in assessing the image quality of periapical images (p = .031). No significant differences were observed for the other outcomes. The AI showed almost perfect diagnostic performance (enamel caries: accuracy 0.964, sensitivity 0.857, specificity 0.074; dentin caries: accuracy 0.988, sensitivity 0.941, specificity 1.0; overall: accuracy 0.976, sensitivity 0.958, specificity 0.983). CONCLUSION: Elaborated feedback can improve student's radiographic diagnostic competences, particularly in detecting enamel caries and apical periodontitis. Using an AI may constitute an alternative to expert labelling of radiographs.

Determinants of p53 DNA binding, gene regulation, and cell fate decisions.

The extent to which transcription factors read and respond to specific information content within short DNA sequences remains an important question that the tumor suppressor p53 is helping us answer. We discuss recent insights into how local information content at p53 binding sites might control modes of p53 target gene activation and cell fate decisions. Significant prior work has yielded data supporting two potential models of how p53 determines cell fate through its target genes: a selective target gene binding and activation model and a p53 level threshold model. Both of these models largely revolve around an analogy of whether p53 is acting in a "smart" or "dumb" manner. Here, we synthesize recent and past studies on p53 decoding of DNA sequence, chromatin context, and cellular signaling cascades to elicit variable cell fates critical in human development, homeostasis, and disease.

Interaction between overconfidence effects and training formats in nurses' education in hand hygiene.

BACKGROUND: Undergraduate training in hand hygiene is a keystone of infection control. Several studies have shown overconfidence effects in hand hygiene practices, which can impair metacognition. We hypothesized that overconfidence might be prevalent in the early education stages of nursing students and that these effects could be reduced through frequent interactive learning formats, such as learning groups. METHODS: We conducted a multicenter cross-sectional questionnaire with 196 German nursing students, including general, surgical, and anesthetic nursing specializations. RESULTS: Overconfidence was observed in nursing students across all specialties and years of education. The cluster analyses showed three different types of learners: two characterized by overconfidence and one demonstrating justifiable confidence. Furthermore, the moderation analysis indicated that providing feedback and promoting metacognition regarding students' learning achievements could mitigate overplacement, particularly through the frequent implementation of interactive teaching formats. DISCUSSION: Despite some limitations, these findings highlight the prevalence of overconfidence effects in nursing students, the presence of different learning profiles, and the importance of incorporating feedback within interactive learning formats concerning hand hygiene. Accordingly, educators need to be trained and supervised to deliver these learning formats and provide feedback to students effectively.

Dissemination of extensively drug-resistant NDM-producing Providencia stuartii in Europe linked to patients transferred from Ukraine, March 2022 to March 2023.

BackgroundThe war in Ukraine led to migration of Ukrainian people. Early 2022, several European national surveillance systems detected multidrug-resistant (MDR) bacteria related to Ukrainian patients.AimTo investigate the genomic epidemiology of New Delhi metallo-ß-lactamase (NDM)-producing Providencia stuartii from Ukrainian patients among European countries.MethodsWhole-genome sequencing of 66 isolates sampled in 2022-2023 in 10 European countries enabled whole-genome multilocus sequence typing (wgMLST), identification of resistance genes, replicons, and plasmid reconstructions. Five bla NDM-1-carrying-P. stuartii isolates underwent antimicrobial susceptibility testing (AST). Transferability to Escherichia coli of a bla NDM-1-carrying plasmid from a patient strain was assessed. Epidemiological characteristics of patients with NDM-producing P. stuartii were gathered by questionnaire.ResultswgMLST of the 66 isolates revealed two genetic clusters unrelated to Ukraine and three linked to Ukrainian patients. Of these three, two comprised bla NDM-1-carrying-P. stuartii and the third bla NDM-5-carrying-P. stuartii. The bla NDM-1 clusters (PstCluster-001, n = 22 isolates; PstCluster-002, n = 8 isolates) comprised strains from seven and four countries, respectively. The bla NDM-5 cluster (PstCluster-003) included 13 isolates from six countries. PstCluster-001 and PstCluster-002 isolates carried an MDR plasmid harbouring bla NDM-1, bla OXA-10, bla CMY-16, rmtC and armA, which was transferrable in vitro and, for some Ukrainian patients, shared by other Enterobacterales. AST revealed PstCluster-001 isolates to be extensively drug-resistant (XDR), but susceptible to cefiderocol and aztreonam-avibactam. Patients with data on age (n = 41) were 19-74 years old; of 49 with information on sex, 38 were male.ConclusionXDR P. stuartii were introduced into European countries, requiring increased awareness and precautions when treating patients from conflict-affected areas.

A cross-cultural comparison of finger-based and symbolic number representations.

The current study examined predictions from embodied cognition for effects of finger counting on number processing. Although finger counting is spontaneous and nearly universal, counting habits reflect learning and culture. European cultures use a sub-base-five system, requiring a full hand plus additional fingers to express numbers exceeding 5. Chinese culture requires only one hand to express such numbers. We investigated the differential impact of early-acquired finger-based number representations on adult symbolic number processing. In total, 53 European and 56 Chinese adults performed two versions of the magnitude classification task, where numbers were presented either as Arabic symbols or as finger configurations consistent with respective cultural finger-counting habits. Participants classified numbers as smaller/larger than 5 with horizontally aligned buttons. Finger-based size and distance effects were larger in Chinese compared with Europeans. These differences did not, however, induce reliably different symbol processing signatures. This dissociation challenges the idea that sensory and motor habits shape our conceptual representations and implies notation-specific processing patterns.

On the embodied nature of knowledge: From neurons to numbers.

Interdisciplinary investigations of the human mind through the cognitive sciences have identified a key role of the body in representing knowledge. After characterizing knowledge at grounded, embodied, and situated levels, number knowledge is analyzed from this hierarchical perspective. Lateralized cortical processing of coarse versus fine detail is identified as a grounding substrate for the population stereotype few/left, many/right, which then contributes to number-related sensory and motor biases at the embodied and situated levels. Implications of this perspective for education and rehabilitation are discussed.

Minimally destructive hDNA extraction method for retrospective genetics of pinned historical Lepidoptera specimens.

The millions of specimens stored in entomological collections provide a unique opportunity to study historical insect diversity. Current technologies allow to sequence entire genomes of historical specimens and estimate past genetic diversity of present-day endangered species, advancing our understanding of anthropogenic impact on genetic diversity and enabling the implementation of conservation strategies. A limiting challenge is the extraction of historical DNA (hDNA) of adequate quality for sequencing platforms. We tested four hDNA extraction protocols on five body parts of pinned false heath fritillary butterflies, Melitaea diamina, aiming to minimise specimen damage, preserve their scientific value to the collections, and maximise DNA quality and yield for whole-genome re-sequencing. We developed a very effective approach that successfully recovers hDNA appropriate for short-read sequencing from a single leg of pinned specimens using silica-based DNA extraction columns and an extraction buffer that includes SDS, Tris, Proteinase K, EDTA, NaCl, PTB, and DTT. We observed substantial variation in the ratio of nuclear to mitochondrial DNA in extractions from different tissues, indicating that optimal tissue choice depends on project aims and anticipated downstream analyses. We found that sufficient DNA for whole genome re-sequencing can reliably be extracted from a single leg, opening the possibility to monitor changes in genetic diversity maintaining the scientific value of specimens while supporting current and future conservation strategies.

Invariant representations in abstract concept grounding - the physical world in grounded cognition.

Grounded cognition states that mental representations of concepts consist of experiential aspects. For example, the concept "cup" consists of the sensorimotor experiences from interactions with cups. Typical modalities in which concepts are grounded are: The sensorimotor system (including interoception), emotion, action, language, and social aspects. Here, we argue that this list should be expanded to include physical invariants (unchanging features of physical motion; e.g., gravity, momentum, friction). Research on physical reasoning consistently demonstrates that physical invariants are represented as fundamentally as other grounding substrates, and therefore should qualify. We assess several theories of concept representation (simulation, conceptual metaphor, conceptual spaces, predictive processing) and their positions on physical invariants. We find that the classic grounded cognition theories, simulation and conceptual metaphor theory, have not considered physical invariants, while conceptual spaces and predictive processing have. We conclude that physical invariants should be included into grounded cognition theories, and that the core mechanisms of simulation and conceptual metaphor theory are well suited to do this. Furthermore, conceptual spaces and predictive processing are very promising and should also be integrated with grounded cognition in the future.

Development of the entrustable professional activity 'medication reconciliation' for clinical pharmacy.

BACKGROUND: Entrustable professional activities (EPAs) are observable process descriptions of clinical work units. EPAs support learners and tutors in assessment within healthcare settings. For use amongst our pharmacy students as well as pre-registration pharmacists we wanted to develop and validate an EPA for use in a clinical pharmacy setting at LMU University Hospital. METHODS: The development of the clinical pharmacy EPA followed a set pathway. A rapid literature review informed the first draft, an interprofessional consensus group consisting of pharmacists, nurses, and medical doctors refined this draft. The refined version was then validated via online survey utilising clinical pharmacists from Germany. RESULTS: We designed, refined and validated an EPA regarding medication reconciliation for assessment of pharmacy students and trainees within the pharmacy department at LMU University Hospital in Munich. Along with the EPA description an associated checklist to support the entrustment decision was created. For validation an online survey with 27 clinical pharmacists from all over Germany was conducted. Quality testing with the EQual rubric showed a good EPA quality. CONCLUSIONS: We developed the first clinical pharmacy EPA for use in a German context. Medication reconciliation is a suitable EPA candidate as it describes a clinical activity performed by pharmacists in many clinical settings. The newly developed and validated EPA 'Medication Reconciliation' will be used to assess pharmacy students and trainees.

Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT.

As medical educators grapple with the consistent demand for high-quality assessments, the integration of artificial intelligence presents a novel solution. This how-to article delves into the mechanics of employing ChatGPT for generating Multiple Choice Questions (MCQs) within the medical curriculum. Focusing on the intricacies of prompt engineering, we elucidate the steps and considerations imperative for achieving targeted, high-fidelity results. The article presents varying outcomes based on different prompt structures, highlighting the AI's adaptability in producing questions of distinct complexities. While emphasizing the transformative potential of ChatGPT, we also spotlight challenges, including the AI's occasional "hallucination", underscoring the importance of rigorous review. This guide aims to furnish educators with the know-how to integrate AI into their assessment creation process, heralding a new era in medical education tools.