Correct Responses Research Articles

Drawing a line from CO2 emissions to health—evaluation of medical students’ knowledge and attitudes towards climate change and health following a novel serious game: a mixed-methods study

BackgroundEducation is urgently needed to equip medical students with knowledge, values and skills to promote planetary health. However, the current literature offers little insight into evidence-based approaches and best practices. In response to this pressing need, a novel serious game was introduced into the medical curriculum at Erasmus Medical Center in 2023. The aim of this study was to evaluate the knowledge and attitudes of medical students after they had played a serious game that addresses climate change and health.MethodsIn accordance with a mixed-methods design, quantitative data were collected using pre- and post-intervention surveys. Differences were assessed using the Wilcoxon signed rank test. Focus group discussions were held after the game and thematically analysed.ResultsOne hundred forty-five students (38.6% of the entire cohort) played the game, of which 59 students completed the pre- and post-intervention surveys. After the game, self-reported knowledge increased. Regarding objective knowledge, an increase in the proportion of students who answered one of the two questions correctly was observed, while the proportion of correct responses decreased for the other question. Student’s responses to two out of five attitude questions were significantly more positive. The proportion of students who recognized the importance of climate change education, to inform patients and society about the health impacts of climate change, increased. Moreover, survey results indicated a significant increase in climate worry subsequent to the game. Eleven students participated in the focus group discussions. Thematic analysis highlighted participants’ reflections on the roles and responsibilities in climate change and health, along with their realisation of the tools for action that climate and health co-benefits provide. Another significant aspect was the importance participants placed on learning alongside peers with diverse attitudes. Additionally, participants appreciated the tangible overview of climate change and health provided by the serious game.ConclusionsOur novel serious game addressed an important gap in the medical curriculum. The game can enable medical students to cultivate the necessary knowledge and attitudes to promote health in times of a climate crisis. The accompanying climate worry needs attention through the empowerment of students’ agency to foster change.

Beyond ‘Infodemic’: Complexity, Knowledge and Populism in COVID-19 Crisis Governance

ABSTRACT The concept of the ‘infodemic’ has become a popular explanation for the rejection of anti-COVID-19 crisis governance measures. In this paper, we argue that infodemic is an inherent property of society under free institutions misused to pursue an epistemically vicious political epistemology. Furthermore, we provide an alternative account of political epistemology of COVID-19 governance and popular resistance to it. Namely, we argue that 1) pandemics represent a complex problem, and some level of resistance to governance which restricts liberties while informed by ongoing scientific and political learning processes is inevitable, and 2) the resistance is exacerbated by the history of technocratization of governance and the exclusionary socio-economic inequalities which condition political and epistemic deficiencies easily exploitable by the political entrepreneurs of right-wing populism, particularly under the conditions of social media which gamifies public discourse. Thus, we argue, the correct response to the cultures of rejection of anti-COVID-19 measures is to change the underlying political and economic conditions and not to limit speech or restrict franchise as the infodemic diagnosis suggests.

Drug Testing Interpretation in the Peripartum Setting: Results of Clinician Survey.

The objectives of this study were to (1) survey obstetrical and pediatric clinicians' experience, confidence, and training in maternal and neonatal drug testing interpretation; (2) determine their proficiency in drug test interpretation; and (3) assess predictors of correct interpretation. We conducted a cross-sectional survey of clinicians caring for pregnant people or newborns at an urban academic center. We assessed clinicians' demographic characteristics, experience, confidence, and prior training in interpretation of maternal and newborn drug tests. We assessed proficiency in interpreting drug tests using 11 clinical vignettes and categorized scores as poor (0-2), fair (3-5), and good (≥6) performance to facilitate data interpretation. We used descriptive statistics to summarize responses. Multinomial logistic regression was used to determine associations of clinician characteristics and score category (reference category: poor performance). In total, 103 respondents completed the survey including 60 obstetrical clinicians (58.3%), 19 family medicine physicians (18.5%), 21 pediatric clinicians (20.4%), and 3 social workers (2.9%) (response rate, ~40%). The mean correct response was 4.1 (SD, 2.17; range, 0-11). Most respondent scores were fair (n = 47.6%), followed by good (n = 28.2%) and poor (n = 24.3%). Increased frequency, confidence, and training in interpreting maternal screening and confirmatory tests were associated with higher proficiency. Increased confidence and training in interpreting neonatal screening and confirmatory tests, but not frequency, were associated with higher proficiency. Most clinicians demonstrated fair proficiency in interpreting drug tests. Predictors of proficiency were confidence and prior training for drug test interpretation, suggesting that educational interventions could improve proficiency.

Evaluation of the Clinical Efficacy and Trust in AI-Assisted Embryo Ranking: Survey-Based Prospective Study.

Current embryo assessment methods for in vitro fertilization depend on subjective morphological assessments. Recently, artificial intelligence (AI) has emerged as a promising tool for embryo assessment; however, its clinical efficacy and trustworthiness remain unproven. Simulation studies may provide additional evidence, provided that they are meticulously designed to mitigate bias and variance. The primary objective of this study was to evaluate the benefits of an AI model for predicting clinical pregnancy through well-designed simulations. The secondary objective was to identify the characteristics of and potential bias in the subgroups of embryologists with varying degrees of experience. This simulation study involved a questionnaire-based survey conducted on 61 embryologists with varying levels of experience from 12 in vitro fertilization clinics. The survey was conducted via Google Forms (Google Inc) in three phases: (1) phase 1, an initial assessment (December 23, 2022, to January 22, 2023); (2) phase 2, a validation assessment (March 6, 2023, to April 5, 2023); and (3) phase 3 an AI-guided assessment (March 6, 2023, to April 5, 2023). Inter- and intraobserver assessments and the accuracy of embryo selection from 360 day-5 embryos before and after AI guidance were analyzed for all embryologists and subgroups of senior and junior embryologists. With AI guidance, the interobserver agreement increased from 0.355 to 0.527 and from 0.440 to 0.524 for junior and senior embryologists, respectively, thus reaching similar levels of agreement. In a test of accurate embryo selection with 90 questions, the numbers of correct responses by the embryologists only, embryologists with AI guidance, and AI only were 34 (38%), 45 (50%), and 59 (66%), respectively. Without AI, the average score (accuracy) of the junior group was 33.516 (37%), while that of the senior group was 35.967 (40%), with P<.001 in the t test. With AI guidance, the average score (accuracy) of the junior group increased to 46.581 (52%), reaching a level similar to that of the senior embryologists of 44.833 (50%), with P=.34. Junior embryologists had a higher level of trust in the AI score. This study demonstrates the potential benefits of AI in selecting embryos with high chances of pregnancy, particularly for embryologists with 5 years or less of experience, possibly due to their trust in AI. Thus, using AI as an auxiliary tool in clinical practice has the potential to improve embryo assessment and increase the probability of a successful pregnancy.

AI Driven Chatbot Counsellor

Speech and written information are fundamental to human communication. As a result, the majority of spoken and textual communication takes place on digital platforms like Twitter, Facebook, and WhatsApp, among others. Our model employs dual recurrent neural networks (RNNs) to encode the information from text and audio sequences, as spoken language and sound constitute emotional discourse. The emotion class is then predicted by combining the data from the two sources. Due to the complexity of speech emotion recognition, models that use audio properties to generate powerful classifiers have become increasingly important. Completing sentences or crafting sentences from a given starting word is a major aspect of natural language processing. In a way, it shows if a machine is capable of human creativity and mental processes. In order to assist handle diverse phrase generation challenges, we use natural language processing to train the machine for certain tasks. This is especially useful for application situations such as machine translation, automatic question answering, and summary creation. At the moment, OpenAI GPT and BERT are the most widely used language models for text generation and prediction. The approaches based on handwritten instructions, patterns, or statistical methods have been quickly superseded by the latest developments in deep learning and artificial intelligence, such as end-to-end trainable neural networks. This research presents a novel approach to deep neural learning-based chatbot creation. This approach builds a multilayer neural network to analyse and learn from the data. Furthermore, we employ supplementary limitations on the generation model to generate the correct response, which is capable of discerning the context of the discussion, the user's mood, and the anticipated response. This enables us to provide customised counselling replies depending on customer feedback. Through this study, two new corpora will be used to train the OpenAI GPT model, which will then be used to generate articles and long sentences. Finally, a comparison study will be carried out. Concurrently, we will use the BERT model to complete the task of context-based intermediate word prediction. Keywords : Artificial Intelligence, Data Science, NLP, Deep Learning, Machine Learning, GPT, Generative AI, Speech Synthesis

Results of the COMPARE-GPT study: Comparison of medication package inserts and GPT-4 cancer drug information.

e13646 Background: The integration of artificial intelligence (AI) technologies has opened new avenues for information dissemination. GPT-4 (GPT) is a large language model developed by open AI. Concerns about its accuracy exist, especially in health communications. We conducted a study to evaluate the accuracy of GPT responses to questions about anti-neoplastic agents for solid tumor malignancies. Methods: We evaluated GPT responses to four questions (Table 1) for each solid tumor drug newly approved or approved for a new indication between 2020 and 2022. The responses from GPT were saved and then compared to the information provided in the medication package insert. For discordant results, a second search was run using a new GPT session. The study was performed by two physicians who ensured that the comparison was both rigorous and unbiased. Results: 53 unique antineoplastic agents were included. GPT responses regarding FDA approval &amp; mechanism of action were correct for each drug (100%). When asked about common adverse reactions, GPT provided incorrect responses for 47% (25/53) of the medications and correct responses for 53% (28/43). The inaccurate responses were either missing certain side effects (88%), provided inaccurate incidence rates (8%), and/or included side effects not listed on the package insert (20%). When a second search was conducted with the same question, GPT provided different responses in 76% (19/25), same responses in 16% (4/25) and now correct responses in 8% (2/25). When asked about drug warnings and precautions, GPT provided incorrect responses for 68% (36/53) of the medications and correct responses for 32% (17/53). The inaccurate responses were missing certain warnings and precautions (89%) and/or included warnings and precautions not listed on the package insert (25%). When a second search was conducted with the same question, GPT provided different responses in 53% (19/36), same responses in 39% (14/36) and now correct responses in 8% (3/36). Conclusions: Analysis of solid tumor drugs approved for use in 2020-2022 evaluated GPT's ability to provide drug information. GPT accurately identified FDA approved indications &amp; mechanisms of action but had significant limitations in accurately reporting a comprehensive list of adverse reactions, drug warnings and precautions. GPT occasionally included drug side effects that are not listed in the package insert. Significant variability in output was demonstrated in repeated searches. Given the inconsistencies in the data identified, GPT should not be used as a primary source of medical information and may potentially cause harm. [Table: see text]

An aerodynamic digital twin of real-world leading edge erosion: Acquisition, Generation and 3D CFD

Wind turbine blades face extremely challenging environmental conditions over their operating life-time, that can easily exceed 2 decades. Airborne particles (insects, sand, rain, hail, ice, sea spray etc.) strike the blade leading edge (LE) first and erode or attach to it, roughening its surface. Leading edge roughness (LER) can critically alter the aerodynamic performance of blades, as its aerodynamic impact is strongly coupled to its height with respect to the local boundary layer thickness, which is thinnest around the LE. The actual, detailed topographic manifestation of LER on in-service blades—needed to accurately assess its aerodynamic impact—is highly probabilistic, as it depends on the interaction of multiple stochastic parameters, like the environmental conditions, material composition and production process. Yet little high-resolution topographic LER data of this kind is currently available. This paper details how such data is collected from blades of different turbine manufacturers and processed consistently to build digital twins of the measured LER, that can be analysed aerodynamically using 3D CFD or wind tunnels. Here a special focus lies on how to reconstruct the LER topography and build the computational mesh such that the correct aerodynamic response is observed. For this purpose multiresolution signal decomposition is used to process the topographies and a special meshing procedure established.

Comparison of Drivetrain Vibration Response During Field Operation and on a Nacelle Test Bench

Nacelle test benches offer the chance to identify any possible issues in the system design before conducting mandatory field testing for type certification. This can potentially reduce costs and time to market. However, nacelle system testing is an abstraction of the real system, as several interactions and interfaces between the nacelle and its environment are absent. Consequently, this has initiated research studies in recent years to fully understand the influence of these abstractions on the device under test. Extensive research has been conducted on the recently completed project Testfeld BHV to understand the influence of abstractions on the vibration response of the drivetrain. In this project, the Adwen AD8-180 has been the wind turbine under study that was tested first at a nacelle test bench, followed by field tests at a site in Germany. This paper presents the findings of these studies with regards to the drivetrain vibration response during nacelle tests and field tests. The similarities and differences observed in the drivetrain vibration response are highlighted, and reasons that lead to deviations in the vibration response are discussed. Furthermore, the work also presents a simulative framework that can aid the test bench’s ability to predict the correct field-like drivetrain vibration response prior to field tests.

The impact of online CME on clinicians’ ability to utilize immunotherapy in unique populations of patients with NSCLC.

e21004 Background: Immunotherapy (IO) has become a standard of care in the management of advanced non-small cell lung cancer (NSCLC). However, treatment with IO-based regimens may not always be straightforward, particularly in unique clinical scenarios and patient populations. As such, members of the multidisciplinary care team, including oncologists and pulmonologists, may lack experience in utilizing IO in these instances. The objective of this study was to assess the educational impact of a series of continuing medical education (CME) activities on the knowledge, competence, and confidence of oncologists and pulmonologists with respect to recognizing strategies that facilitate the safe and effective use of IO in patients with advanced NSCLC. Methods: The educational analysis consisted of 2 online, CME-certified activities. Educational impact was assessed with repeated pre-/post-education including multiple choice knowledge/competence questions and 5-point Likert scale confidence questions. Data from all oncologists and pulmonologists who completed pre- and/or post-education assessments were aggregated across activities and stratified by learning theme. Relative changes in percentage of correct responses and clinicians who were confident (value of 4 or 5) were used to measure improvement in knowledge, competence, and confidence. A McNemar’s test assessed significant levels of changes reported with P values &lt;.05 considered statistically significant. The first activity in the analysis launched October 2023 and the last launched November 2023; data were collected until January 2024. Results: The educational series resulted in improvements in oncologists’ (N=119) and pulmonologists’ (N=49) knowledge, competence, and confidence after education. Conclusions: This analysis demonstrates that oncologists’ and pulmonologists’ knowledge, competence, and confidence regarding the safe and effective use of IO in patients with advanced NSCLC improved after education. Despite these improvements, additional educational activities are needed to address residual gaps and further increase clinicians’ ability in these dynamic and challenging clinical settings. [Table: see text]

HR+/HER2- early breast cancer with a high risk of recurrence: The impact of online education on clinician knowledge, competence, and confidence in utilization of clinical practice guidelines to enhance patient care.

e12515 Background: Clinical practice guidelines drive treatment decision making in HR-positive, HER2-negative early breast cancer with a high risk of recurrence. Understanding is necessary to incorporate the guidelines into practice and improve patient care. To address this gap, two global educational activities were developed that consisted of a 1-hour live streaming virtual meeting with a 45-minute online enduring activity and a 30-minute panel discussion. The objective of this study was to assess the educational impact of the online educational activities. Methods: To assess educational impact a repeated-pairs pre-/post-assessment study design using 6 knowledge/competence questions, in which everyone served as their own control. A paired samples t-test assessed mean differences in the average number of correct responses to the matched pre-/post-assessment questions, and a McNemar’s test assessed significance of improvement across core learning topics from pre- to post-assessment. P values &lt;.05 are statistically significant. Confidence was also assessed using a pre/post confidence question. The activities launched in March 2023 and data was collected till January 2024. Results: 385 oncologists from the US and outside of the US who answered all the pre-/post-assessment questions were included in the analysis. Each assessment question was mapped to an activity learning objective. The learning objectives were grouped into three core topics. All core topics showed a significant improvement in education. Conclusions: These online activities resulted in a significant improvement of oncologists’ knowledge and competence related to the utilization of clinical practice guidelines. Confidence in understanding the implications of the latest guidelines also showed a statistically significant improvement. However, there is still a need for education in a significant percentage of oncologists on this topic. [Table: see text]

Evaluating the Performance of ChatGPT in Urology: A Comparative Study of Knowledge Interpretation and Patient Guidance.

Background/Aim: To evaluate the performance of Chat Generative Pre-trained Transformer (ChatGPT), a large language model trained by Open artificial intelligence. Materials and Methods: This study has three main steps to evaluate the effectiveness of ChatGPT in the urologic field. The first step involved 35 questions from our institution's experts, who have at least 10 years of experience in their fields. The responses of ChatGPT versions were qualitatively compared with the responses of urology residents to the same questions. The second step assesses the reliability of ChatGPT versions in answering current debate topics. The third step was to assess the reliability of ChatGPT versions in providing medical recommendations and directives to patients' commonly asked questions during the outpatient and inpatient clinic. Results: In the first step, version 4 provided correct answers to 25 questions out of 35 while version 3.5 provided only 19 (71.4% vs 54%). It was observed that residents in their last year of education in our clinic also provided a mean of 25 correct answers, and 4th year residents provided a mean of 19.3 correct responses. The second step involved evaluating the response of both versions to debate situations in urology, and it was found that both versions provided variable and inappropriate results. In the last step, both versions had a similar success rate in providing recommendations and guidance to patients based on expert ratings. Conclusion: The difference between the two versions of the 35 questions in the first step of the study was thought to be due to the improvement of ChatGPT's literature and data synthesis abilities. It may be a logical approach to use ChatGPT versions to inform the nonhealth care providers' questions with quick and safe answers but should not be used to as a diagnostic tool or make a choice among different treatment modalities.

Attention facilitates initiation of perceptual decision making: a combined psychophysical and electroencephalography study

Humans can selectively process information and make decisions by directing their attention to desired locations in their daily lives. Numerous studies have shown that attention increases the rate of correct responses and shortens reaction time, and it has been hypothesized that this phenomenon is caused by an increase in sensitivity of the sensory signals to which attention is directed. The present study employed psychophysical methods and electroencephalography (EEG) to test the hypothesis that attention accelerates the onset of information accumulation. Participants were asked to discriminate the motion direction of one of two random dot kinematograms presented on the left and right sides of the visual field, one of which was cued by an arrow in 80% of the trials. The drift–diffusion model was applied to the percentage of correct responses and reaction times in the attended and unattended fields of view. Attention primarily increased sensory sensitivity and shortened the time unrelated to decision making. Next, we measured centroparietal positivity (CPP), an EEG measure associated with decision making, and found that CPP latency was shorter in attended trials than in unattended trials. These results suggest that attention not only increases sensory sensitivity but also accelerates the initiation of decision making.

Anti-premenstrual syndrome (PMS) properties of chaste tree berry (vitex), evening primrose oil, dandelion tea, and lavender aromatherapy: Assessing pharmacy students’ knowledge and opinions

Chaste Tree Berry has been commercialized for treating premenstrual mastodynia. Evening Primrose Oil, rich in gamma-linolenic acid, has been reported to alleviate inflammation associated with PMS. Dandelion Tea, packed with antioxidants, has been reported to have some diuretic properties which may help reduce bloating, while Lavender Aromatherapy has been claimed to calm PMS-related mood symptoms. A literature search was done to investigate the claims attributed to these plants on their use to manage PMS symptoms. This study, conducted as part of a Drug Information course for first-year pharmacy students, also employed a survey approach to determine the knowledge level and opinion of first year pharmacy students on herb-based treatment of PMS symptoms. Demographic data recorded varied backgrounds of 39 survey participants. Students formulated knowledge-based and opinion-based questions, with responses categorized as "True" or "False." Knowledge-based questions demonstrated a moderate average 58.9% correct response rate. Opinion-based questions revealed a prevailing positive average agreement of about 83% on the potential benefits of Chaste Tree Berry, Evening Primrose Oil, Dandelion Tea, and Lavender Aromatherapy. This research provided insights into pharmacy students’ perspectives on herbal remedies for PMS. The positive consensus on potential benefits highlights the relevance of these remedies in managing PMS symptoms. Knowledge gaps and varying opinions indicate a nuanced landscape requiring further studies and education initiatives. Ongoing research and education can enhance understanding, guide evidence-based recommendations, and empower individuals in managing PMS.

Semaphorin Receptors Antagonize Wnt Signaling Through Beta-Catenin Degradation.

Precise control of morphogen signaling levels is essential for proper development. An outstanding question is: what mechanisms ensure proper morphogen activity and correct cellular responses? Previous work has identified Semaphorin (SEMA) receptors, Neuropilins (NRPs) and Plexins (PLXNs), as positive regulators of the Hedgehog (HH) signaling pathway. Here, we provide evidence that NRPs and PLXNs antagonize Wnt signaling in both fibroblasts and epithelial cells. Further, Nrp1/2 deletion in fibroblasts results in elevated baseline Wnt pathway activity and increased maximal responses to Wnt stimulation. Notably, and in contrast to HH signaling, SEMA receptor-mediated Wnt antagonism is independent of primary cilia. Mechanistically, PLXNs and NRPs act downstream of Dishevelled (DVL) to destabilize β-catenin (CTNNB1) in a proteosome-dependent manner. Further, NRPs, but not PLXNs, act in a GSK3b/CK1-dependent fashion to antagonize Wnt signaling, suggesting distinct repressive mechanisms for these SEMA receptors. Overall, this study identifies SEMA receptors as novel Wnt pathway antagonists that may also play larger roles integrating signals from multiple inputs.

Visual scanning patterns of a talking face when evaluating phonetic information in a native and non-native language.

When comprehending speech, listeners can use information encoded in visual cues from a face to enhance auditory speech comprehension. For example, prior work has shown that the mouth movements reflect articulatory features of speech segments and durational information, while pitch and speech amplitude are primarily cued by eyebrow and head movements. Little is known about how the visual perception of segmental and prosodic speech information is influenced by linguistic experience. Using eye-tracking, we studied how perceivers' visual scanning of different regions on a talking face predicts accuracy in a task targeting both segmental versus prosodic information, and also asked how this was influenced by language familiarity. Twenty-four native English perceivers heard two audio sentences in either English or Mandarin (an unfamiliar, non-native language), which sometimes differed in segmental or prosodic information (or both). Perceivers then saw a silent video of a talking face, and judged whether that video matched either the first or second audio sentence (or whether both sentences were the same). First, increased looking to the mouth predicted correct responses only for non-native language trials. Second, the start of a successful search for speech information in the mouth area was significantly delayed in non-native versus native trials, but just when there were only prosodic differences in the auditory sentences, and not when there were segmental differences. Third, (in correct trials) the saccade amplitude in native language trials was significantly greater than in non-native trials, indicating more intensely focused fixations in the latter. Taken together, these results suggest that mouth-looking was generally more evident when processing a non-native versus native language in all analyses, but fascinatingly, when measuring perceivers' latency to fixate the mouth, this language effect was largest in trials where only prosodic information was useful for the task.

Erosion of Stumble Correction Evoked with Superficial Peroneal Nerve Stimulation in Older Adults during Walking.

In healthy young adults, electrical stimulation of the superficial peroneal cutaneous nerve (SPn) innervating the dorsum of the foot has been shown to elicit functionally relevant reflexes during walking that are similar to those evoked by mechanical perturbation to the dorsum of the foot during walking and are referred to as stumble corrective (obstacle avoidance) responses. Though age-related differences in reflexes induced by mechanical perturbation have been studied, toe clearance has not been measured. Further, age-related differences in reflexes evoked by electrical stimulation of SPn have yet to be determined. Thus, the purpose of this study was to characterize age-related differences between healthy young adults and older adults with no history of falls in stumble correction responses evoked by electrical stimulation of the SPn at the ankle during walking. Toe clearance relative to the walking surface along with joint displacement and angular velocity at the ankle and knee and EMG of the tibialis anterior, medial gastrocnemius, biceps femoris and vastus lateralis were measured. The combined background and reflex toe clearance was reduced in the older adults compared with the young in mid-early swing (p = 0.011). These age-related differences likely increase fall risk in the older adult cohort. Further, age-related changes were seen in joint kinematics and EMG in older adults compared with the young such as decreased amplitude of the plantarflexion reflex in early swing in older adults (p < 0.05). These altered reflexes reflect the degradation of the stumble corrective response in older adults.

Dementia Knowledge Among Primary Healthcare Physicians in Riyadh, Saudi Arabia.

Dementia poses a significant healthcare challenge globally, and healthcare providers musthave adequate knowledge about its diagnosis, management, and support services. By assessing the knowledge level of primary care physicians in Riyadh, we can identify potential gaps and areas for improvement in dementia care, ultimately enhancing patient outcomes and quality of life. This study holds promise in shedding light on the current state of dementia knowledge among primary healthcare physicians in Riyadh and offering insights into strategies to enhance dementia care in this region. This cross-sectional questionnaire-based study was conducted from the first of June 2023 to the end of December 2023 in Riyadh, Saudi Arabia. A validated questionnaire was used to assess physicians' knowledge, attitude, and practice toward dementia. A total of 151 physicians completed the questionnaires. The majority were male (55%), below 30 years of age (88.1%), and family medicine residents (84.8%). Most (74.8%) recognized old age as the most significant risk factor; an overwhelming majority of participants (98.7%) could not identify the minimum course of treatment to judge a medication's effectiveness. The average score of correct responses(7.74 ∓ 4.11) was equivalent to 38.7%. Furthermore, the average correct responses were significantly different among the different job levels of the participants. The findings of this study highlight a lack of knowledge among primary care physicians regarding dementia, emphasizing the crucial importance of physician education in this area. Additionally, the results strongly indicate the need foremphasis on dementia education within the undergraduate medical curriculum, family medicine curriculum, and physician training programs. By addressing these educational gaps, we can better equip physicians to provide optimal care and support for individuals with dementia, ultimately improving patient care and quality of life.

Transient Attention Gates Access Consciousness: Coupling N2pc and P3 Latencies Using Dynamic Time Warping.

The N2pc and P3 event-related potentials (ERPs), used to index selective attention and access to working memory and conscious awareness, respectively, have been important tools in cognitive sciences. Although it is likely that these two components and the underlying cognitive processes are temporally and functionally linked, such links have not yet been convincingly demonstrated. Adopting a novel methodological approach based on dynamic time warping (DTW), we provide evidence that the N2pc and P3 ERP components are temporally linked. We analyzed data from an experiment where 23 participants (16 women) monitored bilateral rapid serial streams of letters and digits in order to report a target digit indicated by a shape cue, separately for trials with correct responses and trials where a temporally proximal distractor was reported instead (distractor intrusion). DTW analyses revealed that N2pc and P3 latencies were correlated in time, both when the target or a distractor was reported. Notably, this link was weaker on distractor intrusion trials. This N2pc-P3 association is discussed with respect to the relationship between attention and access consciousness. Our results demonstrate that our novel method provides a valuable approach for assessing temporal links between two cognitive processes and their underlying modulating factors. This method allows to establish links and their modulator for any two time-series across all domains of the field (general-purpose MATLAB functions and a Python module are provided alongside this paper).

Comparative Analysis of Teaching with Electronic Media and Conventional Teaching in the Classroom

The rapid development of educational technology presents new opportunities for enhancing the teaching and learning process through electronic media, which can make learning more interesting and interactive, thus increasing student motivation and engagement. This study aimed to evaluate the effectiveness of different teaching methods direct teaching and the use of audio-visual media in enhancing English language comprehension among fifth grade students at SD Muhammadiyah Pahandut, Palangka Raya. The research involved a service activity conducted with lecturers and students from the Tadris English Education Study Program (TBI) IAIN Palangka Raya. The methodology included both pre-service preparations and the implementation of two distinct teaching approaches. Class 5A received direct teaching with active interaction, while Class 5B utilized interactive videos. The study revealed that conventional teaching in Class 5A faced challenges such as reduced student engagement and passive participation. However, strategic improvements in teaching techniques and classroom management were recommended to enhance effectiveness. In contrast, the use of technological media in Class 5B resulted in higher student engagement and better comprehension of the material, as evidenced by their active participation and correct responses during activities. Overall, the study highlights the advantages and disadvantages of both teaching methods, emphasizing that the choice of method should be context-specific and aligned with learning objectives and student characteristics. The findings suggest that integrating technological media can significantly enhance the learning experience and outcomes, particularly for elementary school students.

Approaching Statistics as a Distinct Subject and Its Impact on Reasoning and Conceptual Errors

Objective: This study aims to determine the level of statistical reasoning and misconceptions expressed by ninth-grade students in two schools. In one of the schools, statistics is taught as a specific subject, while in the other, it is included within the mathematics curriculum. Theoretical Framework: Students are taught statistics throughout their primary education, so by secondary school, they are expected to have developed a good level of statistical reasoning. However, classroom experience suggests this may not be the case. Additionally, this topic often receives less attention in favor of other subjects included in the mathematics curriculum. Method: The methodology adopted for this research includes descriptive and inferential analyses to compare the rate of correct reasoning responses and conceptual errors. Data collection was carried out using the Statistical Reasoning Assessment (SRA) test. Results and Discussion: The results showed different behaviors between the two groups. This suggests that teaching statistics separately from mathematics can influence the learning of this subject. Research Implications: The advantages offered by separating statistics from the rest of mathematics suggest that this approach should be considered in the future teaching of the subject. Originality/Value: This study contributes to the literature by demonstrating that the separation of statistics from mathematics teaching should be considered. The relevance and value of this research are evidenced by the need to improve students' statistical reasoning abilities.