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Traumatic brain injury (TBI) patients are reported to suffer from long-term sensorimotor dysfunction, with gait deficits evident up to two years after the initial brain trauma. GSK3685032 concentration Experimental TBI including rodent models of penetrating ballistic-like brain injury and severe controlled cortical injury (CCI) can induce impairments in static and dynamic gait parameters. It is reported that the majority of deficits in gait-related parameters occur during the acute phase post-injury, as functional outcomes return toward baseline levels at chronic time points. In the present study, we carried out a longitudinal analysis of static, temporal and dynamic gait patterns following moderate-level CCI in adult male C57Bl/6J mice using the automated gait analysis apparatus, CatWalk. For comparison, we also performed longitudinal assessment of fine-motor coordination and function in CCI mice using more traditional sensorimotor behavioral tasks such as the beamwalk and accelerating rotarod tasks. We determined that longitudinal CatWalk analysis did not detect TBI-induced deficits in static, temporal, or dynamic gait parameters at acute or chronic time points. In contrast, the rotarod and beamwalk tasks showed that CCI mice had significant motor function impairments as demonstrated by deficits in balance and fine-motor coordination through 28 days post-injury. Stereological analysis confirmed that CCI produced a significant lesion in the parietal cortex at 28 days post-injury. Overall, these findings demonstrate that CatWalk analysis of gait parameters is not useful for assessment of long-term sensorimotor dysfunction after CCI, and that more traditional neurobehavioral tests should be used to quantify acute and chronic deficits in sensorimotor function.Child maltreatment is associated with significant negative long-term outcomes. Behaviors considered to be more serious and abusive are more likely identified as maltreatment and reported. Therefore, studying child maltreatment perceptions among professionals and the public who regularly work with children could inform practice. Existing studies examining professionals' and the public's perceptions of maltreatment have reported mixed findings, motivating a more comprehensive study of maltreatment perceptions. Our study compared perceived abusiveness and seriousness of behaviors (a) across professional groups (educators, counselors/social workers, nurses, doctors, and police officers), and (b) between professional groups and the public. We surveyed 1,022 professionals and 500 members of the public. Respondents completed an 18-item measure on their perceived abusiveness of potential maltreatment behaviors, and rated the seriousness of 21 vignettes depicting maltreatment behaviors. We found that educators surveyed in our study perceived all child maltreatment behaviors as more serious, and emotional maltreatment behaviors as more abusive, than other professional groups. Conversely, police officers in our sample perceived neglect/emotional maltreatment behaviors as less serious than other professionals. Police officers also perceived physical abuse and emotional maltreatment behaviors as less abusive than other professionals. In our sample, professionals perceived maltreatment behaviors as less serious than the public, while the public was more hesitant to label behaviors as constituting abuse than professionals. These findings highlight the need to address inconsistencies in maltreatment perceptions across professionals and the public, to ensure the provision of appropriate intervention in suspected maltreatment cases.Micro-computed tomography (micro-CT) imaging currently gains increased interest in human as well as veterinary medicine. The ability to image 3-dimensional (3D) biopsy specimens nondestructively down to 1 µm spatial resolution makes it a promising tool for microscopic tissue evaluation in addition to histopathology. Visualizing tumor margins and calculating tumor load on 3D reconstructions may also enhance oncological therapies. The objective of this study was to describe the workflow from tumor resection to histopathological diagnosis, using both routine hematoxylin-eosin (HE)-stained sections and micro-CT tomograms on a stage II oral fibrosarcoma in a 7-year-old Hovawart dog. The maxillectomy specimen was fixed with formalin and stained with an X-ray dense soft tissue contrast agent. Micro-CT imaging was done using an ex vivo specimen micro-CT device. Tumor margins could not be exactly determined on micro-CT tomograms due to limited image resolution and contrast. Histopathology was performed after washing out the contrast agent. It showed neoplastic cells infiltrating the surrounding tissue further than assumed from micro-CT images. A total tumor volume of 10.3 cm3 could be calculated based on correlating micro-CT tomograms with HE-stained sections. This correlative approach may be of particular interest for oncological therapy. More than that, micro-CT imaging technology supported histopathology by means of 3D orientation and selection of slices to be cut on determining tumor margins. In this clinical case report, micro-CT imaging did not provide unambiguous clinical evidence for oncological decision-making, but it showed potential to support histopathology and calculate tumor volume for further clinical use.Disasters cause a huge number of injured patients in a short time while existing emergency facilities encountered devastation and cannot respond properly. Here, the importance of implementing temporary emergency management becomes clear. This study aims to locate some temporary emergency stations across the area by maximal covering after a disaster. Furthermore, a multi-mode fleet is used for transferring patients using different modes of transportation (e.g. helicopter ambulance and bus ambulance). Since the type of patients may change over periods, medical servers can displace among temporary emergency stations dynamically according to disaster severity. For this purpose, a new bi-objective dynamic location-helicopter ambulance allocation-ambulance routing model with multi-medical servers is presented. The first objective function minimizes the operational costs related to the newly designed Emergency Medical Service along with the rate of human loss. The second objective function minimizes the critical time spent before the medical treatment.

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