Different Levels Of Expertise Research Articles

Reliability testing of sonographic techniques in detecting lateral displacement of patellar tendon

ObjectivesPatellofemoral pain syndrome (PFPS), a common knee condition, is characterized as presence of peripatellar pain during activities especially during loading of the lower extremity. Gonzalez-Suarez et al. (2021) developed a sonographic technique that assessed patellar tendon displacement within the trochlear groove. This study aims to determine the reliability of this sonographic technique. MethodsIntra-rater and inter-rater reliability study of three sonologist on the lateral displacement of the patellar tendon using ultrasound. Patellar tendon displacement was assessed using the three novel sonographic measurement techniques: 1) region of trochlear groove where the patellar tendon midpoint is located, 2) distance between deepest portion of the trochlear groove and patellar tendon midpoint and 3) percentage of lateral displacement of the patellar tendon. The measurements were done with the patients in supine and standing. ResultsTen participants with a mean age of 27.6 ± 1.56 years were included in the study. Pilot studies were done to improve the sonographic technique. Intraclass correlation coefficients yielded good to excellent inter-rater and excellent intra-rater reliability (>0.75) in the supine and standing positions except the inter-rater reliability of the region of the trochlear groove where patellar tendon midpoint is in supine position. ConclusionThe sonographic techniques for measurement of lateral patellar tendon displacement showed good to excellent intra-rater and inter-rater reliability between sonologists of different levels of expertise using a well-defined scanning protocol.

Validation and efficacy of the Varix Trainer model as a Training device for esophagogastroduodenoscopy.

Background and study aims The Varix Trainer model 1 (VTM1) was created for trainees to safely practice basic endoscope manipulation skills. The VTM1 was tested to see if it could distinguish levels of endoscope manipulation skills (construct validity) and whether training with it could improve these skills faster (content validity). Patients and methods We enrolled 23 novice endoscopists, 18 second-year trainees, and 13 expert endoscopists. They were asked to point with the endoscope tip to 20 numbers in the model as quickly as possible using torque, single-hand small/large wheel manipulation (SHSW), and retroflexion techniques. Their mean times (t20) were compared to determine if the model could distinguish different levels of expertise. Subsequently, 14 novices trained for eight short sessions, and the pre-training and post-training t20 were compared. Nine novice endoscopists received no training and were retested after 4 to 6 weeks (controls). Results Experts had faster t20 than second-year trainees, who were faster than novices, for all three techniques ( P < 0.001). After eight sessions, the mean t20 for novices improved from 112 to 66 seconds for torque, 144 to 72 seconds for SHSW, and 108 to 63 seconds for retroflexion, (all P < 0.001). Their t20 were equivalent to second-year trainees. Improvement in t20 was also seen with the control group, but total reduction was less than for the training group. Conclusions The VTM1 distinguished varying levels of expertise for all techniques, suggesting that it is a valid tool for assessing endoscope manipulation skill. A short curriculum improved novices' manipulation skills faster than traditional practice.

Feasibility and Educational Value of Clinical Cases Generated Using Large Language Models.

In medical education, case-based learning (CBL) is a fundamental method for training healthcare professionals across different levels of expertise. This approach hinges on using authentic or fabricated clinical cases to bridge the gap between theoretical knowledge and its practical application. It fosters active engagement and knowledge application among learners in healthcare domains. While creating effective cases demands substantial clinical understanding and time investment, the integration of Generative Artificial Intelligence (AI) presents a promising solution to this challenge. AI can efficiently analyze extensive medical data to generate diverse and realistic clinical scenarios, continuously updating case content based on emerging medical literature and guidelines. This study explores AI-generated cases' feasibility and educational value in continuing medical education, focusing on COVID-19 scenarios tailored for the MENA region. Results indicate the potential of AI-generated cases to foster engagement and critical thinking among learners, suggesting their suitability for different levels of education. This study highlights the advantages of integrating AI into CBL and emphasizes the need for future efforts to tackle obstacles and facilitate its successful adoption.

GPT-4o's competency in answering the simulated written European Board of Interventional Radiology exam compared to a medical student and experts in Germany and its ability to generate exam items on interventional radiology: a descriptive study.

This study aimed to determine whether ChatGPT-4o, a generative artificial intelligence (AI) platform, was able to pass a simulated written European Board of Interventional Radiology (EBIR) exam and whether GPT-4o can be used to train medical students and interventional radiologists of different levels of expertise by generating exam items on interventional radiology. GPT-4o was asked to answer 370 simulated exam items of the Cardiovascular and Interventional Radiology Society of Europe (CIRSE) for EBIR preparation (CIRSE Prep). Subsequently, GPT-4o was requested to generate exam items on interventional radiology topics at levels of difficulty suitable for medical students and the EBIR exam. Those generated items were answered by 4 participants, including a medical student, a resident, a consultant, and an EBIR holder. The correctly answered items were counted. One investigator checked the answers and items generated by GPT-4o for correctness and relevance. This work was done from April to July 2024. GPT-4o correctly answered 248 of the 370 CIRSE Prep items (67.0%). For 50 CIRSE Prep items, the medical student answered 46.0%, the resident 42.0%, the consultant 50.0%, and the EBIR holder 74.0% correctly. All participants answered 82.0% to 92.0% of the 50 GPT-4o generated items at the student level correctly. For the 50 GPT-4o items at the EBIR level, the medical student answered 32.0%, the resident 44.0%, the consultant 48.0%, and the EBIR holder 66.0% correctly. All participants could pass the GPT-4o-generated items for the student level; while the EBIR holder could pass the GPT-4o-generated items for the EBIR level. Two items (0.3%) out of 150 generated by the GPT-4o were assessed as implausible. GPT-4o could pass the simulated written EBIR exam and create exam items of varying difficulty to train medical students and interventional radiologists.

Researching Behind the Badge: Challenges and Politics for Emerging Scholars in Police Studies

This study aims to find that the organizational structure and culture of the police have a significant impact particularly in terms of facilitating access, ensuring research independence, and developing long-term relationships. Police research has enabled the integration of grounded theoretical findings with the practical application of police strategies. However, scholars in police studies, especially those new to research, often face intricate dynamics and limitations, particularly concerning police culture and organizational obstacles. This paper seeks to examine the challenges and political barriers that new researchers have when studying the police. Employing an empirical qualitative approach, this study combines semi-structured interviews with six researchers who have different levels of expertise in police research. Additionally, auto-ethnographic reflections offer a thorough understanding of the subject matter. The research findings suggest that the organizational structure and culture of the police have a significant impact on research, particularly in terms of facilitating access, ensuring research independence, and developing long-lasting connections. We conclude by proposing that establishing an effective research collaboration with the police necessitates finding a balance between the interests of academics and the police institution. To achieve this, we advocate implementing mentorship programs that pair experienced researchers with junior researchers and create collaborative infrastructure to help new scholars.

From Novice to Expert: How Expertise Shapes Motor Variability in Sports Biomechanics-a Scoping Review.

With expertise, athletes develop motor strategies that enhance sports performance or reduce functional costs. Motor variability is known as a relevant way to characterize these strategies in athletes with different levels of expertise. The aim of this scoping review is to gather and discuss the latest advances in the impact of expertise on motor variability during sports-related tasks. A search encompassing three databases, Medline, SportDiscus, and Academic Search Complete, was performed. Our research methodology included three core themes: motor variability, laboratory instruments, and sports. Motor variability metrics (e.g., standard deviation and approximate entropy) and laboratory instruments (e.g., motion capture system, EMG, and force plate) were compiled. Athletes' expertise was defined by the time of deliberate practice, the performance results, or the level in which they performed. Overall, 48 of the 59 included studies determined that higher-skilled athletes had lesser motor variability than lower-skilled athletes. This difference in motor variability between skill levels was present within individual athletes (intra-individual) and between athletes (inter-individual). This result was independent of the criteria used to define expertise, the type of instrumentation used, and the metrics used to quantify motor variability.

Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.

Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based GLS might overcome these challenges. Our aims are to explore the agreements between AI-based GLS and conventional GLS, and to assess whether the agreements were influenced by expertise levels, cardiac remodeling and cardiovascular diseases/risks. Echocardiographic images in the apical four-chamber view of left ventricle were retrospectively analyzed based on AI-based GLS in patients treated with chemotherapy, and correlation between AI-based GLS (Caas Qardia, Pie Medical Imaging) and conventional GLS (Vivid E9/VividE95, GE Healthcare) were assessed. The agreement between unexperienced physicians ("GLS beginner") and experienced echocardiographer were also assessed. Among 94 patients (mean age 69 ± 12 years, 73% female), mean left ventricular ejection fraction was 64 ± 6%, 14% of patients had left ventricular hypertrophy, and 21% had left atrial enlargement. Mean GLS was - 15.9 ± 3.4% and - 19.0 ± 3.7% for the AI and conventional method, respectively. There was a moderate correlation between these methods (rho = 0.74; p < 0.01), and bias was - 3.1% (95% limits of agreement: -8.1 to 2.0). The reproducibility between GLS beginner and an experienced echocardiographer was numerically better in the AI method than the conventional method (inter-observer agreement = 0.82 vs. 0.68). The agreements were consistent across abnormal cardiac structure and function categories (p-for-interaction > 0.10). In patients treated with chemotherapy. AI-based GLS was moderately correlated with conventional GLS and provided a numerically better reproducibility compared with conventional GLS, regardless of different levels of expertise.

Toward a tool for evaluating corpus-based word lists for use in english language teaching contexts

With the proliferation of large corpora and the availability of sophisticated corpus-analysis tools, the number of corpus-based word lists targeting different types of vocabulary has rapidly increased during the last 20 years. This wide variety of lists has caused problems for practitioners, for whom it is not always easy to decide which list is most useful for their purpose and context. Given the paucity of systematic guidance on how to evaluate word lists, this study aimed to construct an evaluation tool that is based on Nation's (2016) framework of critiquing word lists, but is reformulated for a different purpose and for different target users, in order to increase the applicability of information derived from corpus analysis (the word lists). Constructed based on a thorough literature review, and informed by practitioners’ views and uses of word lists, along with consultations with ELT practitioners and word list experts, the tool targets ELT practitioners such as teachers, curriculum and assessment coordinators, and materials developers involved in directing vocabulary acquisition. The tool caters to practitioners with different levels of expertise and knowledge—especially those who are unfamiliar with the intricacies of developing corpus-based word lists. This paper documents the development of the initial version of the evaluation tool, as well as its first iteration, drawing upon the insights of both word list experts and practitioners in ELT.

HORA 3D: Personalized Flood Risk Visualization as an Interactive Web Service

AbstractWe propose an interactive web‐based application to inform the general public about personal flood risks. Flooding is the natural hazard affecting most people worldwide. Protection against flooding is not limited to mitigation measures, but also includes communicating its risks to affected individuals to raise awareness and preparedness for its adverse effects. Until now, this is mostly done with static and indiscriminate 2D maps of the water depth. These flood hazard maps can be difficult to interpret and the user has to derive a personal flood risk based on prior knowledge. In addition to the hazard, the flood risk has to consider the exposure of the own house and premises to high water depths and flow velocities as well as the vulnerability of particular parts. Our application is centered around an interactive personalized visualization to raise awareness of these risk factors for an object of interest. We carefully extract and show only the relevant information from large precomputed flood simulation and geospatial data to keep the visualization simple and comprehensible. To achieve this goal, we extend various existing approaches and combine them with new real‐time visualization and interaction techniques in 3D. A new view‐dependent focus+context design guides user attention and supports an intuitive interpretation of the visualization to perform predefined exploration tasks. HORA 3D enables users to individually inform themselves about their flood risks. We evaluated the user experience through a broad online survey with 87 participants of different levels of expertise, who rated the helpfulness of the application with 4.7 out of 5 on average.

#1357 Regional and national hospitalization burden of lupus nephritis and systemic lupus erythematous in Spain

Abstract Background and Aims The regional epidemiology of Systemic lupus erythematosus (SLE) and lupus nephritis (LN) within the same country is poorly understood. Being a rare disease, its severity may be influenced by local expertise and treatment protocols, especially when healthcare systems are fragmented, like in Spain (17 different healthcare systems in 17 Autonomous Community (AACC), population range 319.796 to 8.472.407), resulting in potentially different levels of expertise in regional referral centers. Additional heterogeneity may derive from different specialists (rheumatology, internal medicine, nephrology) caring for SLE and LN. We aim to investigate the disease burden of SLE and LN in Spain and its AACC between 2019 and 2021, and to characterize factors that may influence this burden. Method The primary diagnostic data and average cost of SLE and NL hospitalization were extracted from the Minimum Basic Data Set (MBDS, Ministry of Health) that contains data from private and public hospitals. Sociodemographic data were obtained from the National Statistics Institute. Results From 2019 to 2021, there were 872 LN and 3612 SLE nationwide hospitalizations. Over 60% occurred in Andalucia, Catalonia, and Madrid, which account for 48% of Spanish population. Nationwide, the incidence of LN and SLE hospitalization was 1.44 and 4.59 per 100 000, respectively. However, regional variability was large, with a 3.7-fold difference for LN and a 7.3-fold difference for SLE between Madrid and Valencia, 2 of the more populated AACC. The median LN/SLE hospitalization ratio was 0.33. Relative risk for hospitalization, compared to the national mean, ranged in AACC from 0.37 (Baleares) to 2.55 (La Rioja) for LN and from 0.22 (Baleares) to 3.67 (Ceuta and Melilla) for SLE (Fig. 1A). Heterogeneity was larger at the provincial level where 10/50 provinces had significantly higher or lower relative risk than the national mean (Fig. 1B). The length of SLE/LN hospitalizations was very variable across specialties and AACC. There was a trend for shorter duration in Nephrology and longer in Internal Medicine for both LN and SLE. Nephrology was mainly responsible (76%) for LN hospitalization, with regional differences. For SLE hospitalization, Nephrology was also most commonly in charge. Heterogeneity was larger at the province level within the same AACC. The average All-Patient-Related (APR) cost per LN and SLE hospitalization episodes was €5254 and €4376, respectively, with significant geographical variability. Total annual hospitalization costs varied significantly among AACC, ranging from €8683 (Ceuta and Melilla) to €682512 (Catalonia) for LN and from €68361 (Ceuta and Melilla) to €2229456 (Madrid) for SLE. Adjusted per million population, total LN hospitalization cost ranged from €27920 (Baleares) to €179248 (La Rioja), and SLE cost from €91563 (Baleares) to €399693 (Ceuta and Melilla). When adjusted by €1000 of average household net income, the budget burden of LN hospitalization was highest in La Rioja (€5812 per €1000 of average household net income) and lowest in Baleares (€809 per €1000), while for SLE was highest in Murcia (€11186 per €1000) and lowest in Baleares (€2652 per €1000) (Fig. 2A,B). Conclusion In conclusion, the burden of LN and SLE hospitalization is heterogeneous across and within Spanish AACC, with large regional differences in the distribution of cases, costs and specialists who care for these patients. The analysis of these differences may contribute to benchmarking of best practices, decreasing clinical practice heterogeneity, optimizing care for SLE and LN and improving outcomes.

Report from a Tibetan Monastery: EEG neural correlates of concentrative and analytical meditation.

The positive effects of meditation on human wellbeing are indisputable, ranging from emotion regulation improvement to stress reduction and present-moment awareness enhancement. Changes in brain activity regulate and support these phenomena. However, the heterogeneity of meditation practices and their cultural background, as well as their poor categorization limit the generalization of results to all types of meditation. Here, we took advantage of a collaboration with the very singular and precious community of the Monks and Geshes of the Tibetan University of Sera-Jey in India to study the neural correlates of the two main types of meditation recognized in Tibetan Buddhism, namely concentrative and analytical meditation. Twenty-three meditators with different levels of expertise underwent to an ecological (i.e., within the monastery) EEG acquisition consisting of an analytical and/or concentrative meditation session at "their best," and with the only constraint of performing a 5-min-long baseline at the beginning of the session. Time-varying power-spectral-density estimates of each session were compared against the baseline (i.e., within session) and between conditions (i.e., analytical vs. concentrative). Our results showed that concentrative meditation elicited more numerous and marked changes in the EEG power compared to analytical meditation, and mainly in the form of an increase in the theta, alpha and beta frequency ranges. Moreover, the full immersion in the Monastery life allowed to share the results and discuss their interpretation with the best scholars of the Monastic University, ensuring the identification of the most expert meditators, as well as to highlight better the differences between the different types of meditation practiced by each of them.

Computer-aided diagnosis system for optical diagnosis of colorectal polyps under white light imaging

ObjectivesThis study presents a novel computer-aided diagnosis (CADx) designed for optically diagnosing colorectal polyps using white light imaging (WLI).We aimed to evaluate the effectiveness of the CADx and its auxiliary role among endoscopists with different levels of expertise. MethodsWe collected 2,324 neoplastic and 3,735 nonneoplastic polyp WLI images for model training, and 838 colorectal polyp images from 740 patients for model validation. We compared the diagnostic accuracy of the CADx with that of 15 endoscopists under WLI and narrow band imaging (NBI). The auxiliary benefits of CADx for endoscopists of different experience levels and for identifying different types of colorectal polyps was also evaluated. ResultsThe CADx demonstrated an optical diagnostic accuracy of 84.49%, showing considerable superiority over all endoscopists, irrespective of whether WLI or NBI was used (P < 0.001). Assistance from the CADx significantly improved the diagnostic accuracy of the endoscopists from 68.84% to 77.49% (P = 0.001), with the most significant impact observed among novice endoscopists. Notably, novices using CADx-assisted WLI outperform junior and expert endoscopists without such assistance. ConclusionsThe CADx demonstrated a crucial role in substantially enhancing the precision of optical diagnosis for colorectal polyps under WLI and showed the greatest auxiliary benefits for novice endoscopists.

Ambulatory pediatricians: how to bridge the gaps in diagnosis and care coordination for neurodevelopmental disorders in France.

The organization of healthcare pathways for neurodevelopmental disorders (NDD) relies on different levels of expertise depending on the complexity of these disorders. NDDs affect between 8% and 15% of children. Historically, national recommendations and healthcare planning measures were initially devoted to autism spectrum disorders and were gradually extended to Attention deficit hyperactivity disorder (ADHD) and specific learning and development disorders. Private doctors play an increasing role in these pathways at different levels of care due to difficulties in organization, particularly in the health and social sector. The aim of this work was to evaluate the contribution of second-line private doctors in the diagnosis and care of children affected by NDD. A first series of surveys in 2016 evaluated the level of commitment of primary care pediatricians; this online national survey was repeated in 2023 among 1,430 members of the French Association of Ambulatory Pediatrics (Association Française de Pédiatrie Ambulatoire: AFPA) to assess their training, current and future involvement, and activity in NDD care. Analysis was performed by the main author using Epi-Info software. The study identified in 2023 214 second-line private doctors (14% of all pediatricians in activity), of which 185 agreed to appear in a directory published the same year by the AFPA to facilitate referrals from other professionals. Sex ratio of responders is usual for paediatricians: 79.5%/20.5% (F/M), with a distribution among ages showing a slight increase of the age range between age 51-60 (30.5%). Our data indicate that in France in 2022, second-line private doctors made 48%-53% of NDD diagnoses, 24%-26.4% of follow-up consultations and declare to be accountable for 21% of initial prescriptions for Methylphenidate. Among these second-line doctors, 40% had completed a post-university degree on NDD, 74.3% had completed professional development training (PDT) and 85.2% had completed either or both types of training. Most doctors participating in the survey wanted to improve their level of practice, suggesting that in five years, the number of second-line private doctors will increase by 20% to 244 despite 24 planned retirements within the same period. This data probably underestimates the role of private doctors in NDD diagnosis, follow-up, and initial Methylphenidate prescriptions given the unfavourable working conditions (no financial compensation for long appointments, difficulty accessing paramedical and psychological assessments). Our data confirms that diagnosis and care coordination in the various presentations of NDD may rely on different types of practices and specializations: medical and social professionals, mental health professionals, but also a growing body of medical doctors involved in developmental and behavioural pediatrics. This data and reflection will be helpful for organizing healthcare in France or in other countries. Main study limitation relies in the self-declaration of MD's involvement in NDD and could not evaluate the activity of employed MD's from the social and medico social sector, nor be based on the national databases for prescription. It remains however the first attempt of characterization of medical activity at the national level in France for NDD.

Comparison of clinical geneticist and computer visual attention in assessing genetic conditions.

Artificial intelligence (AI) for facial diagnostics is increasingly used in the genetics clinic to evaluate patients with potential genetic conditions. Current approaches focus on one type of AI called Deep Learning (DL). While DL- based facial diagnostic platforms have a high accuracy rate for many conditions, less is understood about how this technology assesses and classifies (categorizes) images, and how this compares to humans. To compare human and computer attention, we performed eye-tracking analyses of geneticist clinicians (n = 22) and non-clinicians (n = 22) who viewed images of people with 10 different genetic conditions, as well as images of unaffected individuals. We calculated the Intersection-over-Union (IoU) and Kullback-Leibler divergence (KL) to compare the visual attentions of the two participant groups, and then the clinician group against the saliency maps of our deep learning classifier. We found that human visual attention differs greatly from DL model's saliency results. Averaging over all the test images, IoU and KL metric for the successful (accurate) clinician visual attentions versus the saliency maps were 0.15 and 11.15, respectively. Individuals also tend to have a specific pattern of image inspection, and clinicians demonstrate different visual attention patterns than non-clinicians (IoU and KL of clinicians versus non-clinicians were 0.47 and 2.73, respectively). This study shows that humans (at different levels of expertise) and a computer vision model examine images differently. Understanding these differences can improve the design and use of AI tools, and lead to more meaningful interactions between clinicians and AI technologies.

A New Procedure-Based Assessment of Operative Skills in Gastric Bypass Surgery, Evaluated by Video Fragment Rating

PurposeFeedback on technical and procedural skills is essential during the training of residents and fellows. The aim of this study was to assess the performance of a newly created instrument for the assessment of operative skills using laparoscopic Roux-en-Y gastric bypass (LRYGB) video fragments.Materials and MethodsA new procedure-based assessment (PBA) was created by combining LRYGB key steps with a 5-point independence scale. LRYGB performed by residents and surgeons with different levels of expertise were video recorded. Fragments of the pouch creation, gastro-jejunostomy and jejunojejunostomy, were review by 12 expert bariatric surgeons and the operative skills assessed with the PBA, Objective Structured Assessment of Technical Skill (OSATS), and the Bariatric OSATS (BOSATS). The PBA was compared to the OSATS and BOSATS. Mean scores for all items of the different assessments were summarized and compared using a T-test.ResultsThe scores of the procedural steps were combined and compared for all levels. The mean scores for beginner, intermediate, and expert level were 2.71, 3.70, and 3.90 for the PBA; for the OSATS 1.84, 2.86, and 3.44; and for the BOSATS 2.78, 3.56, and 4.19. Each of these assessments differentiated between the three skill levels (all p < 0.05).ConclusionThe PBA discriminates well between different levels of operative skills. Similar patterns were found for the OSATS and BOSATS, showing that the randomly selected video fragments are representative samples for assessing skill level. Future research will demonstrate whether these results can be extrapolated to clinical training, and which scores allow for procedure certification.Graphical

Metacognition in musical practices: two studies with beginner and expert Brazilian musicians.

Metacognition is essential in the musical learning process as it involves understanding the purpose of each task, its planning, execution and evaluation. Considering the relevance of metacognitive processes, our objective in this study was to investigate how expert and beginner musicians manifest and verbalize their metacognitive processes in the context of preparing repertoire for a performance. The method used was a multi-case study carried out in two different contexts: with the five members of a brass quintet made up of professional musicians and with three beginner university violin students. The results obtained indicated that even at different levels of expertise, metacognitive processes were present in the musical practices of participants in the two contexts investigated. It was found that in both cases time management is a component of the preparation process in metacognitive regulation, however, for the beginner violinists in our sample it was a significantly more complex task than for the professional brass players. Regarding the learning monitoring and evaluation processes, it was possible to verify that beginner instrumentalists as well as professional musicians used declarative, conditional and procedural knowledge to carry out and reflect on their musical practices. These results have implications for both the individual and collective study process and for teaching processes. It is also observed that reflective thinking must accompany the processes of individual and collective interpretative-musical practices, considering that the musical results desired by musicians are related to the quality of cognitive, behavioral, affective and motivational undertakings pertinent to control and regulation of metacognitive processes.

New Approaches to the Bipolar Flaking Technique: Qualitative, Quantitative, and Kinematic Perspectives

The bipolar technique is a flaking strategy that has been identified from 3.3 Ma until the twentieth century, with no geographical or chronological homogeneous distribution. It is represented by the intentional contact of an active percussive element against a core rested on an anvil. This tool composite has been described by some researchers as a sign of low-skill of hominins, unable to perform successfully free-hand flaking or for flaking low-quality raw materials. Based on this premise, our research focused on the following question: Are there any quantitative and qualitative differences in terms of both kinematic parameters and technical skills between knappers with different levels of expertise when flaking using the bipolar technique? To get an answer, we developed a systematic experimental program with 12 volunteer participants with different levels of expertise. Then, to assess potential quantifiable differences and to understand the mechanics of bipolar technology, we did a video motion analysis based on kinematic parameters (including position, velocity, acceleration, and kinetic energy of the hammerstone). In addition, we performed a technological analysis of the experimental lithic assemblages to assess the technological differences between knappers based on their levels of expertise. In kinematic parameters, both statistical analysis and observations from the experiment clearly show that there are differences between the levels of expertise in this technique. Intermediate knappers have been observed to apply more velocity and kinetic energy than experts and novices. Also, differences were observed in the flaking strategies. Expert knappers show a longer reduction sequence, while intermediates show shorter one. Moreover, some of the novice knappers did not even obtain a single flake. The results of our experiment stress the complexity of bipolar flaking and that previous assumptions about it might be reconsidered, especially in terms of reconsidering the negative connotations attributed to this flaking technique.

Deep Learning-Based Analysis of Aortic Morphology From Three-Dimensional MRI.

Quantification of aortic morphology plays an important role in the evaluation and follow-up assessment of patients with aortic diseases, but often requires labor-intensive and operator-dependent measurements. Automatic solutions would help enhance their quality and reproducibility. To design a deep learning (DL)-based automated approach for aortic landmarks and lumen detection derived from three-dimensional (3D) MRI. Retrospective. Three hundred ninety-one individuals (female: 47%, age = 51.9 ± 18.4) from three sites, including healthy subjects and patients (hypertension, aortic dilation, Turner syndrome), randomly divided into training/validation/test datasets (N = 236/77/78). Twenty-five subjects were randomly selected and analyzed by three operators with different levels of expertise. 1.5-T and 3-T, 3D spoiled gradient-recalled or steady-state free precession sequences. Reinforcement learning and a two-stage network trained using reference landmarks and segmentation from an existing semi-automatic software were used for aortic landmark detection and segmentation from sinotubular junction to coeliac trunk. Aortic segments were defined using the detected landmarks while the aortic centerline was extracted from the segmentation and morphological indices (length, aortic diameter, and volume) were computed for both the reference and the proposed segmentations. Segmentation: Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetrical surface distance (ASSD); landmark detection: Euclidian distance (ED); model robustness: Spearman correlation, Bland-Altman analysis, Kruskal-Wallis test for comparisons between reference and DL-derived aortic indices; inter-observer study: Williams index (WI). A WI 95% confidence interval (CI) lower bound >1 indicates that the method is within the inter-observer variability. A P-value <0.05 was considered statistically significant. DSC was 0.90 ± 0.05, HD was 12.11 ± 7.79 mm, and ASSD was 1.07 ± 0.63 mm. ED was 5.0 ± 6.1 mm. A good agreement was found between all DL-derived and reference aortic indices (r >0.95, mean bias <7%). Our segmentation and landmark detection performances were within the inter-observer variability except the sinotubular junction landmark (CI = 0.96;1.04). A DL-based aortic segmentation and anatomical landmark detection approach was developed and applied to 3D MRI data for achieve aortic morphology evaluation. 3 TECHNICAL EFFICACY: Stage 2.

Kiosk 8R-FB-07 - Quantitative Segmentation Analysis in CMR Across Different Levels of Expertise – FBom Beginners to Experts

Kiosk 8R-FB-07 - Quantitative Segmentation Analysis in CMR Across Different Levels of Expertise – FBom Beginners to Experts

The added value of partnerships in implementing the UN sustainable development goals

Partnerships have become a key tool in the implementation of the United Nations (UN) Sustainable Development Goals (SDGs). Partnerships can scale up the impact of initiatives by leveraging the strengths and reach of each involved partner. This allows for the replication and expansion of successful projects and programs. In the context of the UN SDGs, partnerships can play a key role in their effective implementation, due to their ability to bring together a variety of stakeholders from different sectors and with different levels of expertise and experience. By leveraging the skills, resources, and capacities of different stakeholders, partnerships can contribute to creating synergies that are essential for the successful implementation of the SDGs. Despite the role of partnerships and their potential value, there is a need for studies that can help understand their role and promote greater transparency and accountability in the implementation of the SDGs. Against this background, this article outlines the concept of partnerships and their values, followed by a description of the partnerships for sustainable development, concerning the implementation of the SDGs and its main features. Some examples of relevant partnerships are presented, outlining their scope and degree of success. Based on the experiences gathered specific suggestions on how to foster partnerships to foster the implementation of sustainable development are provided. It is crucial to define common objectives to ensure alignment and a strong foundation for collaboration, involving diverse stakeholders, including governments, businesses, non-governmental organizations (NGOs), academia, and local communities, thus bringing unique perspectives and resources. Open and transparent communication builds trust and encourages the sharing of ideas and challenges. Additionally, demonstrating the benefits for each partner, whether in reputation, market access, or cost reduction, motivates active engagement, establishes incentive structures, and allows to celebrate successes. Pooling resources, knowledge, and expertise enhances the effectiveness of sustainable development initiatives, encouraging long-term commitments and fostering adaptability in the face of complex challenges. These are specific strategies that highlight the relevance of these findings, in comparison to existing work. Partnerships have evolved into indispensable instruments for the realization of the UN SDGs. Their transformative potential is expected to grow as the future trend, driven by the ongoing need for collaborative solutions to global challenges, becoming instrumental in addressing pressing global issues such as climate change, public health crises, and economic inequalities. In the coming years, a surge in research and initiatives focusing on optimizing partnership models, governance structures, and monitoring mechanisms to enhance accountability and transparency, is anticipated. Furthermore, the integration of digital technologies and data-driven insights into partnership strategies may revolutionize their impact and efficiency. Overall, the evolution of partnerships as a vital force in global sustainability presents a promising future trend with broader applications and a crucial role in addressing multifaceted challenges beyond the SDGs, as demonstrated in this study.