Monitoring tar spot disease in corn at different canopy and temporal levels using aerial multispectral imaging and machine learning.

Introduction: Tar spot is a high-profile disease, causing various degrees of yield losses on corn (Zea mays L.) in several countries throughout the Americas. Disease symptoms usually appear at the lower canopy in corn fields with a history of tar spot infection, making it difficult to monitor the disease with unmanned aircraft systems (UAS) because of occlusion. Methods: UAS-based multispectral imaging and machine learning were used to monitor tar spot at different canopy and temporal levels and extract epidemiological parameters from multiple treatments. Disease severity was assessed visually at three canopy levels within micro-plots, while aerial images were gathered by UASs equipped with multispectral cameras. Both disease severity and multispectral images were collected from five to eleven time points each year for two years. Image-based features, such as single-band reflectance, vegetation indices (VIs), and their statistics, were extracted from ortho-mosaic images and used as inputs for machine learning to develop disease quantification models. Results and discussion: The developed models showed encouraging performance in estimating disease severity at different canopy levels in both years (coefficient of determination up to 0.93 and Lin's concordance correlation coefficient up to 0.97). Epidemiological parameters, including initial disease severity or y0 and area under the disease progress curve, were modeled using data derived from multispectral imaging. In addition, results illustrated that digital phenotyping technologies could be used to monitor the onset of tar spot when disease severity is relatively low (< 1%) and evaluate the efficacy of disease management tactics under micro-plot conditions. Further studies are required to apply and validate our methods to large corn fields.

Use of S-100B, NSE, CRP and ESR to predict neurological outcomes in patients with return of spontaneous circulation and treated with hypothermia.

BACKGROUND: With the introduction of therapeutic hypothermia (TH), the prediction of neurological outcomes in cardiac arrest (CA) survivors is challenging. Early, accurate determination of prognosis by emergency physicians is important to avoid unnecessarily prolonged critical care with a likely poor neurological outcome. METHODS: This prospective observational study included patients with non-traumatic CA and return of spontaneous circulation (ROSC) between March 2009 and May 2012 at a tertiary academic hospital. Unconscious patients with ROSC were treated with mild TH (32°C-34°C) for 24 hours. Blood samples were collected for S-100B, neuron-specific enolase (NSE), C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) at 0, 24 and 48 hours post-ROSC. Neurological outcomes were evaluated at hospital discharge and dichotomised as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4 or 5). RESULTS: Of the 119 patients (68.1% male, 53±15.6 years old) who underwent TH, 46 patients had a good outcome (38.9%). Poor neurological outcomes were predicted using receiver operating characteristic analyses at cut-off values of 0.12 g/L for S-100B at 24 hours post-ROSC (sensitivity, 95.0%; specificity, 75.6%; area under the curve (AUC) 0.916; 95% CI of AUC: 0.846 to 0.961), 31.03 ng/mL for NSE at 48 hours post-ROSC (sensitivity, 83.9%; specificity, 96.9%; AUC 0.929; 95% CI of AUC: 0.836 to 0.979) and 11.2 mg/dL for CRP at 48 hours post-ROSC (sensitivity, 69.4%; specificity, 75.0%; AUC 0.731; 95% CI of AUC: 0.617 to 0.827). ESR was not significant. CONCLUSIONS: Among the biomarkers, S-100B at 24 hours and NSE at 48 hours post-ROSC were highly predictive of neurological outcomes in patients treated with TH after CA.

Acute abdominal pain due to spontaneous rupture of the right gastric artery.

Abdominal apoplexy was reported by Barber in 1909, and the occurrence rate of the apoplexy is known to be quite rare, but the mortality is high if untreated. We report an unusual case of abdominal apoplexy due to spontaneous rupture of gastric artery. A male patient in his fifth decade with recently diagnosed liver cirrhosis history arrived to the emergency department with severe abdominal pain, which led to abdominal computer tomography indicating spontaneous rupture of gastric artery. Celiac angiogram and embolization were conducted, and exploratory laparotomy was followed. The outcome of the patient was poor, and he died on the second day of admission. As in our case, the mortality can be high, so prompt restoration of circulation volume and early diagnosis should be made in similar cases.