Hermeneutical paradoxes in the trial of Socrates

The logical role of the paradox is not to state a truth whose paradoxical nature lies in the difficulty we feel in maintaining it as true, but rather to state somefhing thaf will cause fo feel as fa/se something else we previously believed to be true. The Socrafic paradox, somefimes called the "moral paradox, " is convincing and true because if implicitly raises the question about the true good. The drama of Socrates' trial and death indeed iIIustrates a dilemma, in which on the one hand the philosopher cannot accept the way of I ife prescribed by his tradition but 0 n the other hand cannot offer an unquestionable alternative to it. The best approach to the Socratic problem is an ec/ectic one, using all the ancient sourees instead of championing a single author at the expense of the rest

Clinical characteristics and premorbid variables in childhoodonset schizophrenia: a descriptive study of twelve cases from a schizophrenia founder population

Objective: To analyze clinical and demographic data of childhood-onset (12 years and younger) schizophrenia patients collected for a genetic study in schizophrenia, undertaken nationally in South Africa, using multiple parameters. Method: Patients with an onset of schizophrenia at 12 years or younger, were included. From the Diagnostic Interview for Genetic Studies (DIGS), patients’ information and summary report data was tabulated and analyzed. Specific subgroups were further compared. This sub-population of 12 subjects was further compared with a group of the adult sample. Results: Of the 12 patients recruited, prominent resultswere: male to female ratio of 1:1; all had insidious onset of psychosis; a third had all 3 multidimensional impairment (MDI) symptoms; all patients that received ADHD treatment had ADHD treatment failure; two thirds had milestone delay; 58% had birth complications; a third were predominantly bottle fed; 42% had family history of schizophrenia; a third had family history of other major psychiatric conditions; all patients had at least one non-psychotic deviant behaviour (NPDB); no patient used cannabis; alldelusions were paranoid; 92% had school achievement difficulty and a third had treatment resistance. Gender comparison included: earlier onset of psychosis in females; all females had aggression versus a third of males; more females had school achievement difficulty than males; males had more treatment resistance. Patients with MDI, compared to the sample average had: earlier onset of non-psychotic deviant behaviour; lower school drop-out rate; less social difficulty and no treatment resistance. Conclusion: The results compare well to previous research on this topic. The new concepts introduced by the present studyrequire further investigation

SurgRIPE challenge: Benchmark of surgical robot instrument pose estimation

Accurate instrument pose estimation is a crucial step towards the future of robotic surgery, enabling applications such as autonomous surgical task execution. Vision-based methods for surgical instrument pose estimation provide a practical approach to tool tracking, but they often require markers to be attached to the instruments. Recently, more research has focused on the development of markerless methods based on deep learning. However, acquiring realistic surgical data, with ground truth (GT) instrument poses, required for deep learning training, is challenging. To address the issues in surgical instrument pose estimation, we introduce the Surgical Robot Instrument Pose Estimation (SurgRIPE) challenge, hosted at the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) in 2023. The objectives of this challenge are: (1) to provide the surgical vision community with realistic surgical video data paired with ground truth instrument poses, and (2) to establish a benchmark for evaluating markerless pose estimation methods. The challenge led to the development of several novel algorithms that showcased improved accuracy and robustness over existing methods. The performance evaluation study on the SurgRIPE dataset highlights the potential of these advanced algorithms to be integrated into robotic surgery systems, paving the way for more precise and autonomous surgical procedures. The SurgRIPE challenge has successfully established a new benchmark for the field, encouraging further research and development in surgical robot instrument pose estimation