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The English auxiliary system exhibits many lexical exceptions and subregularities, and considerable dialectal variation, all of which are frequently omitted from generative analyses and discussions. This paper presents a detailed, movement-free account of the English Auxiliary System within Sign-Based Construction Grammar (Sag 2010, Michaelis 2011, Boas & Sag 2012) that utilizes techniques of lexicalist and construction-based analysis. The resulting conception of linguistic knowledge involves constraints that license hierarchical structures directly (as in context-free grammar), rather than by appeal to mappings over such structures. This allows English auxiliaries to be modeled as a class of verbs whose behavior is governed by general and class-specific constraints. Central to this account is a novel use of the feature aux, which is set both constructionally and lexically, allowing for a complex interplay between various grammatical constraints that captures a wide range of exceptional patterns, most notably the vexing distribution of unstressed do, and the fact that Ellipsis can interact with other aspects of the analysis to produce the feeding and blocking relations that are needed to generate the complex facts of EAS. The present approach, superior both descriptively and theoretically to existing transformational approaches, also serves to undermine views of the biology of language and acquisition such as Berwick et al. (2011), which are centered on mappings that manipulate hierarchical phrase structures in a structure-dependent fashion.
This article assesses the causes of the crisis of detention in Latin America. It is argued that this crisis, which manifests itself in overpopulation of the region's prison systems, deficient infrastructure, prison informality and violence propelled ultimately by political processes, is mostly related to, on the one hand, disastrous human rights conditions inside Latin American prisons, and on other, the political denial of these conditions. This denial produces a state of institutional abandonment that is preserved by the interests of politicians and bureaucrats, who are engaged in denying prison violence and human rights abuses while simultaneously calling for more punishment and imprisonment.
The languages accepted by finite automata are precisely the languages denoted by regular expressions. In contrast, finite automata may exhibit behaviours that cannot be described by regular expressions up to bisimilarity. In this paper, we consider extensions of the theory of regular expressions with various forms of parallel composition and study the effect on expressiveness. First we prove that adding pure interleaving to the theory of regular expressions strictly increases its expressiveness modulo bisimilarity. Then, we prove that replacing the operation for pure interleaving by ACP-style parallel composition gives a further increase in expressiveness, still insufficient, however, to facilitate the expression of all finite automata up to bisimilarity. Finally, we prove that the theory of regular expressions with ACP-style parallel composition and encapsulation is expressive enough to express all finite automata up to bisimilarity. Our results extend the expressiveness results obtained by Bergstra, Bethke and Ponse for process algebras with (the binary variant of) Kleene's star operation.
We prove Davis and Garsia Inequalities for dyadic perturbations of Hardy martingales and show that those inequalities play a substantial role in the proof of Bourgain's  embedding L1 ↪ L1/H10. This paper continues  on Davis and Garsia Inequalities (DGI).
Cushing disease (CD) constitutes a challenging condition for the pituitary surgeon. Given the variety of factors affecting outcomes in CD, it is uncertain whether the newer endoscopic technique improves the results of surgery.
A review was conducted of CD cases at our institution between 2000 and 2010. Analysis was done to: determine if surgical technique had an effect on outcome, identify the predictors of outcome and provide details of failed cases. Remission was defined as normal postoperative 24-hour urinary free cortisol (24-h UFC), suppression of morning serum cortisol to <50 nmol/L after 1mg of dexamethasone or being dependent on steroid replacement.
Forty-two patients met our inclusion criteria. Average follow-up period was 33 months. There were 15 macroadenomas and 27 microadenomas. Seventeen patients had an endoscopic transsphenoidal surgery and twenty-five patients had a microscopic transsphenoidal procedure. Long-term overall remission was achieved in 26 (62%) patients. There was no significant difference in remission rates between the two techniques (p value 0.757). Patient's subjective symptomatic improvement and drop of morning serum cortisol in the postoperative period to less than 100 nmol/L correlated with long-term remission (p value 0.0031and 0.0101, respectively) while repeat surgery was the only predictor of the lack of postoperative remission (p value 0.0008).
Revision surgery predicted poor remission rate for CD. Within the power of our study size, there was no difference in outcome between the endoscopic and microscopic approaches. Surgical outcomes should be reviewed in association with remission criteria used in a study.
Hyperspectral imaging (also known as spectrum imaging) requires software for extracting the signatures present in every spectrum. However, commercial software available for spectrum analysis remains expensive, complicated, and often not transparent regarding the internal workings and approximations made. For user facilities, educational institutes, and other settings where multiple users on a single tool can be expected, the limited availability of software becomes the bottleneck to data analysis, user training, and throughput. The Cornell Spectrum Imager (CSI) was developed as a universal data analysis tool to be freely distributed, to run on all computers, and to minimize training. This is accomplished by using one simple interface for imaging, cathodoluminescence, Raman, Electron Energy Loss Spectroscopic (EELS), and EDX data analysis. This article demonstrates the CSI plugins for ImageJ by guiding you through the basic workflow for processing EELS maps.
To evaluate the outcomes of patients with giant pituitary tumours (GPTs) who underwent a purely binasal endoscopic transsphenoidal surgery (BETS) and compare their outcomes with those achieved through craniotomy and microscopic transsphenoidal surgery (MTS).
Seventy-two consecutive patients with GPTs (greater than 10 cm3 in volume) who were treated surgically with BETS, craniotomy, or MTS from October 1994 to July 2009 were reviewed for clinical outcomes, degree of tumor resection, recurrence rates, and surgical complications.
The BETS group had significantly better mean reduction of tumor volume (91%) than the craniotomy (63%, p = 0.001), and the MTS (63%, p = 0.010) groups. Gross total resection rates were also higher for BETS patients than for craniotomy patients (p = 0.010). Improvements in vision and headaches were noted in 96% and 100% of patients in the BETS group, respectively; these rates were similar to those in the craniotomy and MTS groups. Of the four patients with hormone-secreting tumours in the BETS group, three remained in remission. The median length-of-stay (four days) for the BETS group was shorter (p = 0.010), and surgical complications were less frequent (p = 0.037) and less severe compared to the craniotomy group. There were no differences in the recurrence rates: 79% percent of patients in the BETS group, 69% in the craniotomy group, and 79% in the MTS group were recurrence free at last follow-up (p = 0.829).
Treatment of GPT with BETS offers excellent oncologic and clinical outcomes and can frequently obviate the need for craniotomy in these patients.
The high beam current and subangstrom resolution of aberration-corrected scanning transmission electron microscopes has enabled electron energy loss spectroscopy (EELS) mapping with atomic resolution. These spectral maps are often dose limited and spatially oversampled, leading to low counts/channel and are thus highly sensitive to errors in background estimation. However, by taking advantage of redundancy in the dataset map, one can improve background estimation and increase chemical sensitivity. We consider two such approaches—linear combination of power laws and local background averaging—that reduce background error and improve signal extraction. Principal component analysis (PCA) can also be used to analyze spectrum images, but the poor peak-to-background ratio in EELS can lead to serious artifacts if raw EELS data are PCA filtered. We identify common artifacts and discuss alternative approaches. These algorithms are implemented within the Cornell Spectrum Imager, an open source software package for spectroscopic analysis.
We prove that for an operator T on ℓ∞(H1 ()), respectively ℓ∞(L1 ()), the identity factors through T or Id - T. Hence ℓ∞(H1 ()) and ℓ∞(L1 ()) are primary spaces. We re-prove analogous results of H.M. Wark for the spaces ℓ∞(Hp()), 1 < p < ∞. In the present paper direct combinatorics of colored dyadic intervals replaces the dependence on Szemerédi's theorem in .