NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation.

To achieve human-level dexterity, robots must infer spatial awareness from multimodal sensing to reason over contact interactions. During in-hand manipulation of novel objects, such spatial awareness involves estimating the object's pose and shape. The status quo for in-hand perception primarily uses vision and is restricted to tracking a priori known objects.

Imagery in the entropic associative memory.

The Entropic Associative Memory is a novel declarative and distributed computational model of associative memory. The model is general, conceptually simple, and offers an alternative to models developed within the artificial neural networks paradigm. The memory uses a standard table as its medium, where the information is stored in an indeterminate form, and the entropy plays a functional and operation role.

Weighted entropic associative memory and phonetic learning.

The Entropic Associative Memory (EAM) holds declarative but distributed representations of remembered objects. These are characterized as functions from features to discrete values in an abstract amodal space. Memory objects are registered or remembered through a declarative operation; memory recognition is defined as a logical test and cues of objects not contained in the memory are rejected directly without search; and memory retrieval is a constructive operation.

Entropic associative memory for manuscript symbols.

Manuscript symbols can be stored, recognized and retrieved from an entropic digital memory that is associative and distributed but yet declarative; memory retrieval is a constructive operation, memory cues to objects not contained in the memory are rejected directly without search, and memory operations can be performed through parallel computations. Manuscript symbols, both letters and numerals, are represented in Associative Memory Registers that have an associated entropy. The memory recognition operation obeys an entropy trade-off between precision and recall, and the entropy level impacts on the quality of the objects recovered through the memory retrieval operation.

An entropic associative memory.

Natural memories are associative, declarative and distributed, and memory retrieval is a constructive operation. In addition, cues of objects that are not contained in the memory are rejected directly. Symbolic computing memories resemble natural memories in their declarative character, and information can be stored and recovered explicitly; however, they are reproductive rather than constructive, and lack the associative and distributed properties.

Improving public transportation systems with self-organization: A headway-based model and regulation of passenger alighting and boarding.

The equal headway instability-the fact that a configuration with regular time intervals between vehicles tends to be volatile-is a common regulation problem in public transportation systems. An unsatisfactory regulation results in low efficiency and possible collapses of the service. Computational simulations have shown that self-organizing methods can regulate the headway adaptively beyond the theoretical optimum.

Applicability of a modified EFAST protocol (r-EFAST) to evaluate hemodynamically unstable patients after percutaneous cardiac intervention.

Percutaneous cardiac intervention is an invasive diagnostic and therapeutic technique which carries a significant complication rate. Although the usefulness of EFAST protocol is widely recognised, this paper will attempt to explore a modified approach involving a focused examination on the retroperitoneal (r-EFAST). We have provided examples of 3 cases where r-EFAST was used to detect retroperitoneal bleeding in critical situations.

Why does public transport not arrive on time? The pervasiveness of equal headway instability.

Background: The equal headway instability phenomenon is pervasive in public transport systems. This instability is characterized by an aggregation of vehicles that causes inefficient service. While equal headway instability is common, it has not been studied independently of a particular scenario.

Effective use of FibroTest to generate decision trees in hepatitis C.

Aim: To assess the usefulness of FibroTest to forecast scores by constructing decision trees in patients with chronic hepatitis C.

Methods: We used the C4.5 classification algorithm to construct decision trees with data from 261 patients with chronic hepatitis C without a liver biopsy.

Detection and serotype-specific differentiation of vesicular stomatitis virus using a multiplex, real-time, reverse transcription-polymerase chain reaction assay.

A multiplex, real-time reverse transcription-polymerase chain reaction (RT-PCR) assay was developed that allowed simultaneous detection and rapid differentiation of vesicular stomatitis virus strains--New Jersey (VSV-NJ) and Indiana 1, 2, and 3 (VSV-IN1-3). This assay involves use of a set of VSV universal primers located in the L gene that amplify VSV-IN1-3 and VSV-NJ using probes that allow differentiation of the major serotypes Indiana and New Jersey. The assay was evaluated using reference VSV, foot-and-mouth disease virus, swine vesicular disease virus, and vesicular exanthema of swine virus.

Utility of homology models in the drug discovery process.

Advances in bioinformatics and protein modeling algorithms, in addition to the enormous increase in experimental protein structure information, have aided in the generation of databases that comprise homology models of a significant portion of known genomic protein sequences. Currently, 3D structure information can be generated for up to 56% of all known proteins. However, there is considerable controversy concerning the real value of homology models for drug design.