Description Estimation and inference methods for models of conditional quantiles:Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also included. Version 5.35Maintainer Roger Koenker Repository CRANDepends R (>= 2

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Evidence from this study suggests that decreased susceptibility to indoxacarb may be associated with fitness costs in H. armigera and enhanced activities of P450 and CarE may be important detoxification mechanisms in the development of indoxacarb resistance. Methoxyfenozide and abamectin can be rotationally used to manage indoxacarb resistance. © 2018 Society of Chemical Industry.

This paper describes the technology and an experiment of subcategorization acquisition for Chinese verbs. The SCF hypotheses are generated by means of linguistic heuristic information and filtered via statistical methods. Evaluation on the acquisition of 20 multi-pattern verbs shows that our experiment achieved the similar precision and recall with former researches. Besides, simple application of the acquired lexicon to a PCFG parser indicates great potentialities of subcategorization information in the fields of NLP. Credits

Providing effective methods of identification of high-obfuscation plagiarism seeds presents

Wheat is a major food source throughout the world. However, biological factors like pests and weeds can lead to lower crop yield. Most crop protection nowadays involves pesticide and herbicides application. This is commonly conducted with knapsack in China, which is inefficient and high labor intensive. Unmanned aerial vehicle (UAV) are an aerial spraying technology recently-developed. Using UAV application is more flexible and standardized, the spraying efficiency is 60 times more than knapsack sprayer. However, weed management using UAV is still a challenge. Low spray volume and droplet density with less penetration may affect weed control efficacy. High droplet concentration may induce crop injury. This study focused on discovering crop safety and weed control efficacy of UAV in wheat fields. Different herbicides, rates and spray volume were tested for pre-emergence (PRE) and post-emergence (POST). The results show that no crop injury was induced for PRE. While 10%-20% injury on wheat was found for POST. All herbicides treatments showed significant effects on weed management compared to untreated control. However, the efficacy was not stable between years and fields. Weed management for PRE can reach 98%-100% when the soil is humid, smooth and with no straw coverage when using diflufenican + isoproturon (120 + 1200 g ai ha-1). For POST application via UAV, weed injury ranged from 10% injury to 70%, in which isoproturon + clodinafop-propargyl + mesosulfuron (120 + 7.5 + 0.9 g ai ha-1) injured weed the most in 2018 (reached 70%). Knapsack sprayer showed relatively better weed control efficacy in many cases for POST applications. Weeds showed certain degree of resistance. In general, PRE application with UAV showed better potential, but herbicide spraying needs to be combined with field management to achieve better weed management efficacy.

The major problem of the most current approaches of information models lies in that individual words provide unreliable evidence about the content of the texts. When the document is short, e.g. only the abstract is available, the word-use variability problem will have substantial impact on the Information Retrieval (IR) performance. To solve the problem, a new technology to short document retrieval named Reference Document Model (RDM) is put forward in this letter. RDM gets the statistical semantic of the query/document by pseudo feedback both for the query and document from reference documents. The contributions of this model are three-fold: (1) Pseudo feedback both for the query and the document; (2) Building the query model and the document model from reference documents; (3) Flexible indexing units, which can be any linguistic elements such as documents, paragraphs, sentences, n-grams, term or character. For short document retrieval, RDM achieves significant improvements over the classical probabilistic models on the task of ad hoc retrieval on Text REtrieval Conference (TREC) test sets. Results also show that the shorter the document, the better the RDM performance.

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