Garlic (Allium sativum) feature-specific nutrient dosage based on using machine learning models.

Brazil presents large yield gaps in garlic crops partly due to nutrient mismanagement at local scale. Machine learning (ML) provides powerful tools to handle numerous combinations of yield-impacting factors that help reducing the number of assumptions about nutrient management. The aim of the current study is to customize fertilizer recommendations to reach high garlic marketable yield at local scale in a pilot study.

Reducing Cybersickness in 360-Degree Virtual Reality.

Despite the technological advancements in Virtual Reality (VR), users are constantly combating feelings of nausea and disorientation, the so-called cybersickness. Cybersickness symptoms cause severe discomfort and hinder the immersive VR experience. Here we investigated cybersickness in 360-degree head-mounted display VR.

Collection of evidence from the reverse side of self-adhesive stamps: A combined approach to obtain dactyloscopic and DNA evidence.

The commonly applied method for the examination of self-adhesive stamps mainly focuses on DNA-profiling while neglecting potential fingerprint evidence. In our preliminary study it was shown that in an uncontrolled environment, fingerprints are transferred from the adhesive side of stamps onto the envelope within the first two days after application. Fingerprints can therefore be examined independently after the separation of the stamp from the envelope.

Character strengths and performance outcomes among military brat and non-brat cadets.

Although many studies have compared military vs. civilian samples on a wide variety of characteristics, few have examined these differences within the context of those who commit a portion of their life to the military. In this study, we explored how West Point cadets with ("military brat cadet") or without ("non-brat cadet") a family military background might differ in terms of their character strengths.

Fracture care using percutaneously applied titanium mesh cages (OsseoFix®) for unstable osteoporotic thoracolumbar burst fractures is able to reduce cement-associated complications--results after 12 months.

Background: Despite the known demographic shift with expected doubled rate of vertebral body fractures by the year 2050, a standardized treatment concept for traumatic and osteoporotic incomplete burst fracture of the truncal spine does not exist. This study aims to determine whether minimally invasive fracture care for incomplete osteoporotic thoracolumbar burst fractures using intravertebral expandable titanium mesh cages is a suitable procedure and may provide improved safety in terms of cement-associated complications in comparison to kyphoplasty procedure.

Methods: In 2011/2012, 15 patients (10 women, 5 men; mean age 77) with 15 incomplete osteoporotic thoracolumbar burst fractures (T10 to L4) were stabilized using intravertebral expandable titanium mesh cages (OsseoFix®) as part of a prospective study.