The parent body of the ca. 480 kyr-old Tunguska-like impact over Antarctica.

第2回極域科学シンポジウム/第34回南極隕石シンポジウム 11月17日（木） 国立国語研究所 2階講

Is OpenSDE an alternative for dedicated medical research databases? An example in coronary surgery

Background. When using a conventional relational database approach to collect and query data in the context of specific clinical studies, a study with a new data set usually requires the design of a new database and entry forms. OpenSDE (SDE = Structured Data Entry) is intended to provide a flexible and intuitive way to create databases and entry forms for the collection of data in a structured format. This study illustrates the use of OpenSDE as a potential alternative to a conventional approach with respect to data modelling, database creation, data entry, and data extraction. Methods. A database and entry forms are created using OpenSDE and MSAccess to support collection of coronary surgery data, based on the Adult Cardiac Surgery Data Set of the Society of Thoracic Surgeons. Data of 52 cases are entered and nine different queries are designed, and executed on

Impact of enriched environment on motor performance and learning in mice

Neuroscience heavily relies on animal welfare in laboratory rodents as it can significantly affect brain development, cognitive function and memory formation. Unfortunately, laboratory animals are often raised in artificial environments devoid of physical and social stimuli, potentially leading to biased outcomes in behavioural assays. To assess this effect, we examined the impact of social and physical cage enrichment on various forms of motor coordination. Our findings indicate that while enriched-housed animals did not exhibit faster learning in eyeblink conditioning, the peak timing of their conditioned responses was slightly, but significantly, improved. Additionally, enriched-housed animals outperformed animals that were housed in standard conditions in the accelerating rotarod and ErasmusLadder test. In contrast, we found no significant effect of enrichment on the balance beam and grip strength test. Overall, our data suggest that an enriched environment can improve motor performance and motor learning under challenging and/or novel circumstances, possibly reflecting an altered state of anxiety.</p

Effectiveness of peer-delivered interventions for severe mental illness and depression on clinical and psychosocial outcomes: a systematic review and meta-analysis.

PURPOSE: To evaluate the effectiveness of peer-delivered interventions in improving clinical and psychosocial outcomes among individuals with severe mental illness (SMI) or depression. METHODS: Systematic review and meta-analysis of randomised controlled trials comparing a peer-delivered intervention to treatment as usual or treatment delivered by a health professional. Random effect meta-analyses were performed separately for SMI and depression interventions. RESULTS: Fourteen studies (10 SMI studies, 4 depression studies), all from high-income countries, met the inclusion criteria. For SMI, evidence from three high-quality superiority trials showed small positive effects favouring peer-delivered interventions for quality of life (SMD 0.24, 95 % CI 0.08-0.40, p = 0.003, I (2) = 0 %, n = 639) and hope (SMD 0.24, 95 % CI 0.02-0.46, p = 0.03, I (2) = 65 %, n = 967). Results of two SMI equivalence trials indicated that peers may be equivalent to health professionals in improving clinical symptoms (SMD -0.14, 95 % CI -0.57 to 0.29, p = 0.51, I (2) = 0 %, n = 84) and quality of life (SMD -0.11, 95 % CI -0.42 to 0.20, p = 0.56, I (2) = 0 %, n = 164). No effect of peer-delivered interventions for depression was observed on any outcome. CONCLUSIONS: The limited evidence base suggests that peers may have a small additional impact on patient's outcomes, in comparison to standard psychiatric care in high-income settings. Future research should explore the use and applicability of peer-delivered interventions in resource poor settings where standard care is likely to be of lower quality and coverage. The positive findings of equivalence trials demand further research in this area to consolidate the relative value of peer-delivered vs. professional-delivered interventions

Lumbar spine segmentation in MR images: a dataset and a public benchmark

This paper presents a large publicly available multi-center lumbar spine magnetic resonance imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 MRI series from 218 patients with a history of low back pain. It was collected from four different hospitals and was divided into a training (179 patients) and validation (39 patients) set. An iterative data annotation approach was used by training a segmentation algorithm on a small part of the dataset, enabling semi-automatic segmentation of the remaining images. The algorithm provided an initial segmentation, which was subsequently reviewed, manually corrected, and added to the training data. We provide reference performance values for this baseline algorithm and nnU-Net, which performed comparably. We set up a continuous segmentation challenge to allow for a fair comparison of different segmentation algorithms. This study may encourage wider collaboration in the field of spine segmentation, and improve the diagnostic value of lumbar spine MRI