Publications by authors named "J A Thomasson"
Background: Spontaneous hepatic hemorrhage is a rare condition, most commonly diagnosed in patients with hepatocellular carcinoma or hepatic adenomas, and is seldom caused by metastatic disease. In this case report, we present a patient with spontaneous hepatic hemorrhage due to hepatic metastasis of papillary thyroid carcinoma, an exceptionally rare occurrence.
Case Presentation: The patient was a 77-year-old white male with a history of atrial fibrillation treated with apixaban.
Background: Posttraumatic stress disorder (PTSD) is a psychiatric disease that may follow traumatic exposure. Current treatments fail in about 30% of patients. Although repeated transcranial magnetic stimulation (rTMS) applied to the prefrontal cortex has been shown to be effective in the treatment of PTSD, the mechanisms need further investigation.
View Article and Find Full Text PDFBackground: Postoperative management after surgery for perforated peptic ulcer is still burdened by old traditions. All available data for fast-track recovery in this setting are either very unspecific or underpowered. The aim of this study was to evaluate fast-track recovery in this diagnosis-specific context in a larger sample.
View Article and Find Full Text PDFA field-ready, fiber-based high spatial sampling snapshot imaging spectrometer was developed for applications such as environmental monitoring and smart farming. The system achieves video rate frame transfer and exposure times down to a few hundred microseconds in typical daylight conditions with ∼63,000 spatial points and 32 spectral channels across the 470nm to 700nm wavelength range. We designed portable, ruggedized opto-mechanics to allow for imaging from an airborne platform.
View Article and Find Full Text PDFArticle Synopsis
- Unmanned aerial vehicles (UAVs) are increasingly used in agriculture for crop monitoring, utilizing RGB and multispectral cameras for effective field phenotyping.
- A collaborative driving system was developed that enables multiple UAVs to capture images from different angles to reduce measurement errors caused by drone and plant movement.
- The study verified the developed flight algorithms through a simulation and real-field tests, achieving high accuracy comparable to commercial UAV programs (RMSE of 0.36 m in simulation and 0.46 m in reality).