Let M be an open orientable differentiate n-manifold. More precisely, we will take M and vectorfields over M to be of class C. A nonzero vectorfield X on i f will be called nonrecurrent if the 1-dimensional foliation associated with X is regular (see [4, Chapter I]) and admits no compact leaves. The notation H(M; Z)=Q shall mean that the ^-dimensional singular integral cohomology of M is trivia...

We retrospectively evaluated 90 meningiomas for bcl-2 expression, apoptosis counts (per 10 high-power fields [HPF]), MIB-1 labeling indices (LI), and mitosis counts (per 10 HPF). Characteristics were as follows: 37 low-grade (benign) meningiomas: mean apoptosis count, 1.2; MIB-1 LI, 1.0; mitosis count, 0.1; and bcl-2 positivity, 40%; 29 atypical meningiomas: apoptosis count, 3.3; MIB-1 LI, 5.5;...

Spontaneous copy number variant (CNV) mutations are an important factor in genomic structural variation, genomic disorders, and cancer. A major class of CNVs, termed nonrecurrent CNVs, is thought to arise by nonhomologous DNA repair mechanisms due to the presence of short microhomologies, blunt ends, or short insertions at junctions of normal and de novo pathogenic CNVs, features recapitulated ...

PURPOSE To investigate the clinical characteristics of Mooren's ulcer in East China and to identify the potential risk factors that affect the recurrence of Mooren's ulcer. METHODS We reviewed the medical records of 95 patients (100 eyes) diagnosed with Mooren's ulcer from May 2005 to December 2014. The patients were classified into recurrent and nonrecurrent groups and followed up for 18 mon...

The mutations that occur in the p53 tumor suppressor gene have been studied in various human malignant tumors. However, little is known about this gene in meningiomas. To investigate the relationship and frequency of p53 gene mutations, the p53 polymerase chain reaction-single stranded conformational polymorphism (PCR-SSCP) and immunohistochemical study were performed on the 41 intracranial men...

Spiking neural networks (SNNs) with adaptive synapses reflect core properties of biological neural networks. Speech recognition, as an application involving audio coding and dynamic learning, provides a good test problem to study SNN functionality. We present a simple, novel, and efficient nonrecurrent SNN that learns to convert a speech signal into a spike train signature. The signature is dis...

Non-allelic homologous recombination (NAHR), non-homologous end joining (NHEJ), and microhomology-mediated replication-dependent recombination (MMRDR) have all been put forward as mechanisms to explain DNA rearrangements associated with genomic disorders. However, many nonrecurrent rearrangements in humans remain unexplained. To further investigate the mutation mechanisms of these copy number v...

The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly predicted using process-based models. These models are autoregressive and require offshore wave characteristics as input, properties that find their neural network equivalent in the NARX (Nonlinear AutoRegressive model...