Biological control of biofilms on membranes by metazoans.

Traditionally, chemical and physical methods have been used to control biofouling on membranes by inactivating and removing the biofouling layer. Alternatively, the permeability can be increased using biological methods while accepting the presence of the biofouling layer. We have investigated two different types of metazoans for this purpose, the oligochaete Aelosoma hemprichi and the nematode Plectus aquatilis.

Presence of biofilms on ultrafiltration membrane surfaces increases the quality of permeate produced during ultra-low pressure gravity-driven membrane filtration.

This study evaluates the effect of the presence of biofilms on membrane surfaces on the quality of permeate produced during Gravity-driven membrane ultrafiltration. GDM ultrafiltration is applied to the decentralized production of drinking water. A second objective was to evaluate to what extent permeate quality is enhanced by pre-treating feed-water (using a packed bed biofilm reactor or a slow sand filter).

Using cognitive-functional assessment to predict self-care performance of memory care tenants.

A challenge in admitting individuals with Alzheimer's disease and related dementias into memory care residential facilities is determining the appropriate level of service based on abilities and care needs. At intake, the incoming tenant's functional performance capacity is obtained through family or proxy report corroborated with screening results of global cognitive function. Based on this information, the agency determines the level of service needs; if misjudged, inadequate placement can be stressful for the individual and family and costly for the facility.

A physical model of sensorimotor interactions during locomotion.

In this paper, we describe the development of a bipedal robot that models the neuromuscular architecture of human walking. The body is based on principles derived from human muscular architecture, using muscles on straps to mimic agonist/antagonist muscle action as well as bifunctional muscles. Load sensors in the straps model Golgi tendon organs.

Navigating sensory conflict in dynamic environments using adaptive state estimation.

Most conventional robots rely on controlling the location of the center of pressure to maintain balance, relying mainly on foot pressure sensors for information. By contrast,humans rely on sensory data from multiple sources, including proprioceptive, visual, and vestibular sources. Several models have been developed to explain how humans reconcile information from disparate sources to form a stable sense of balance.

Frontal theta links prediction errors to behavioral adaptation in reinforcement learning.

Investigations into action monitoring have consistently detailed a frontocentral voltage deflection in the event-related potential (ERP) following the presentation of negatively valenced feedback, sometimes termed the feedback-related negativity (FRN). The FRN has been proposed to reflect a neural response to prediction errors during reinforcement learning, yet the single-trial relationship between neural activity and the quanta of expectation violation remains untested. Although ERP methods are not well suited to single-trial analyses, the FRN has been associated with theta band oscillatory perturbations in the medial prefrontal cortex.

Mutations in the BC-loop of the BKV VP1 region do not influence viral load in renal transplant patients.

The reactivation and replication of the BK polyomavirus (BKV) leading to BKV-associated nephropathy (BKVAN) is one of the major complications in renal transplantation patients. BKV isolates were classified into four subtypes (I-IV) based on genotype variations within the VP1-coding region. The type-specific amino acid differences cluster within the BC-loop of the major capsid protein VP1.