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The paper describes an experimental, mechanically simple, tactile sensing solution in the form of a sensing chair for discriminating human motion in a reaching task. This cost-efficient technical approach was employed for the assessment of selective arm movements in stroke survivors. The sensing system classifies trunk motion in a seated stroke survivor during a goal-directed task where there is direct correlation with the level of severity of arm movement. The system interprets motion mechanically from coupled sensory data transients using artificial neural networks and shows tolerance to patients' sitting posture and performance variability. The accuracy of classification was typically greater than 94% across three categories when applied to a group of stroke survivors of wide-ranging motor abilities. The mechanical simplicity, versatility of approach for use in other classes of movement, and potential low cost of manufacturing provides opportunity to employ the system at clinics and homes for assessment and training. [ABSTRACT FROM AUTHOR]

• A novel approach to use complex electrical impedance (magnitude and phase) to predict electrode array path. • Use of machine learning algorithms to classify paths due to different insertion trajectories. • Reasonable overall accuracy results of full and partial insertions. • Partial insertion results are capable for real time electrode array positioning during automated insertion. Cochlear Implant provides an electronic substitute for hearing to severely or profoundly deaf patients. However, postoperative hearing outcomes significantly depend on the proper placement of electrode array (EA) into scala tympani (ST) during cochlear implant surgery. Due to limited intra-operative methods to access array placement, the objective of the current study was to evaluate the relationship between EA complex impedance and different insertion trajectories in a plastic ST model. A prototype system was designed to measure bipolar complex impedance (magnitude and phase) and its resistive and reactive components of electrodes. A 3-DoF actuation system was used as an insertion feeder. 137 insertions were performed from 3 different directions at a speed of 0.08 mm/s. Complex impedance data of 8 electrode pairs were sequentially recorded in each experiment. Machine learning algorithms were employed to classify both the full and partial insertion lengths. Support Vector Machine (SVM) gave the highest 97.1% accuracy for full insertion. When a real-time prediction was tested, Shallow Neural Network (SNN) model performed better than other algorithms using partial insertion data. The highest accuracy was found at 86.1% when 4 time samples and 2 apical electrode pairs were used. Direction prediction using partial data has the potential of online control of the insertion feeder for better EA placement. Accessing the position of the electrode array during the insertion has the potential to optimize its intraoperative placement that will result in improved hearing outcomes. [ABSTRACT FROM AUTHOR]

Insulin resistance, diabetes and many kinds of cancers are common in overweight and obese individuals. The tumor suppressor p53 is important in securing genetic stability, but its role in the regulation of metabolic processes and cell differentiation remains unclear. We have investigated the role of p53 in adipocyte differentiation. Using 3T3-L1 cells, a mouse embryonic fibroblast preadipocyte model and DIO rat model, p53 expression and function during adipocyte differentiation were investigated. p53 expression increased on the second and fourth day of adipocyte differentiation and decreased thereafter. Its overexpression in 3T3-L1 preadipocytes markedly reduced adipogenesis and marker gene expression. p53 activity was weakened in DIO rat abdominal adipose tissue because of an decreased expression of its activated phosphorylated form. In contrast, p53 knockout enhanced adipogenesis and the expression of marker genes, but significantly reduced insulin-stimulated Akt phosphorylation. These results indicate that p53 partly suppresses preadipocyte differentiation and adipogenesis by regulating adipocyte gene expression and Akt signaling. [ABSTRACT FROM AUTHOR]

Pediatric strokes are rare but critical diagnoses to make in the emergency setting. They are associated with a set of pathologies that are not frequently encountered in the adult population. Some of these diseases have variable clinical presentations and imaging appearance depending on the age of onset and severity of the underlying pathologies. This article reviews the differential diagnoses and noninvasive imaging evaluation of pediatric cerebral ischemic and hemorrhagic diseases. [ABSTRACT FROM AUTHOR]

The fit of a lower limb prosthetic socket is critical for user comfort and the quality of life of lower limb amputees. Sockets are conventionally produced using hand-crafted patient-based casting techniques. Modern digital techniques offer a host of advantages to the process and ultimately lead to improving the lives of amputees. However, commercially available scanning equipment required is often expensive and proprietary. Smartphone photogrammetry could offer a low cost alternative, but there is no widely accepted imaging technique for prosthetic socket digitisation. Therefore, this paper aims to determine an optimal imaging technique for whole socket photogrammetry and evaluate the resultant scan measurement accuracy. A 3D printed transtibial socket was produced to create digital and physical twins, as reference models. The printed socket was photographed from 360 positions and simplified genetic algorithms were used to design a series of experiments, whereby a collection of photos were processed using Autodesk ReCap. The most fit technique was used to assess accuracy. The accuracy of the socket wall volume, surface area and height were 61.63%, 99.61% and 99.90%, respectively, when compared to the digital reference model. The scanned model had a wall thickness ranging from 2.075 mm at the top to 7.758 mm towards the base of the socket, compared to a consistent thickness of 2.025 mm in the control model. The technique selected did not show sufficient accuracy for clinical application due to the degradation of accuracy nearer to the base of the socket interior. However, using an internal wall thickness estimation, scans may be of sufficient accuracy for clinical use; assuming a uniform wall thickness. [ABSTRACT FROM AUTHOR]