Introduction Biological soil amendments of animal origin (BSAAO), including untreated are often used to improve fertility and particularly important in organic agriculture. However, application manure on cropland can potentially introduce foodborne pathogens into the onto produce. Certified farms follow USDA National Organic Program (NOP) standards that stipulate a 90- or 120-day interval betwe...

It remains unclear whether the efficacy of nonsurgical organ-preservation modalities (NOP) in the treatment of advanced-stage laryngeal cancer was noninferiority compared with that of total laryngectomy (TL). The objective of this study was to compare the curative effects between TL and NOP in the treatment of advanced-stage laryngeal cancer through a meta-analysis.Clinical studies were retriev...

Nociceptin (N/OFQ) has been implicated in a variety of neurological disorders, most notably in reward processes and drug abuse. N/OFQ suppresses extracellular dopamine in the nucleus accumbens (NAc) after intracerebroventricular injection. This study sought to examine the effects of retrodialyzed N/OFQ on the cocaine-induced increase in extracellular dopamine levels in the NAc, as well as locom...

We propose to learn multiple local Mahalanobis distance metrics to perform knearest neighbor (kNN) classification of temporal sequences. Temporal sequences are first aligned by dynamic time warping (DTW); given the alignment path, similarity between two sequences is measured by the DTW distance, which is computed as the accumulated distance between matched temporal point pairs along the alignme...

In this paper, electro-hydraulic braking (EHB) force allocation for electric vehicles (EVs) is modeled as a constrained nonlinear optimization problem (NOP). Recurrent neural networks (RNNs) are advantageous in many folds solving NOPs, yet existing RNNs’ convergence usually requires convexity with calculation of second-order partial derivatives. recurrent network-based NOP solver (RNN-NOPS) dev...

Link-based dissimilarity measures, such as shortest path or Euclidean commute time distance, base their distance on paths between nodes of a weighted graph. These measures are known to be better suited to data manifold with nonconvex-shaped clusters, compared to Euclidean distance, so that k-nearest neighbor (NN) search is improved in such metric spaces. In this paper we present a new link-base...

ABSTRACT. We consider the nearest-neighbor simple random walk on Z, d ≥ 2, driven by a field of i.i.d. random nearest-neighbor conductances ωxy ∈ [0, 1]. Apart from the requirement that the bonds with positive conductances percolate, we pose no restriction on the law of the ω’s. We prove that, for a.e. realization of the environment, the path distribution of the walk converges weakly to that of...

In this study we used the dual opioid and nociceptin/orphanin peptide (NOP) agonist buprenorphine to investigate the relative contributions of opioid and NOP systems in regulating bradykinin-stimulated calcitonin-gene related peptide (CGRP) release from primary cultures of neonatal rat trigeminal neurons. We found that: bradykinin stimulates CGRP secretion either by a direct effect or after app...

Large-scale, complex, and high-risk industrial systems such as nuclear power plants have developed detailed operating procedures. Under the expected conditions, operators operate system according to procedures avoid human error. However, under complex unfamiliar once guidance of is lost, serious consequences may be caused. This paper proposes a No-Procedure guided Operation Supervision Technolo...

Nearest neighbor (NN) classifier with dynamic time warping (DTW) is considered to be an effective method for time series classification. The performance of NN-DTW is dependent on the DTW constraints because the NN classifier is sensitive to the used distance function. For time series classification, the global path constraint of DTW is learned for optimization of the alignment of time series by...