scholarly journals Do morphophonological exchange rules exist? A reply to DiCanio et al. (2020)

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Paul De Lacy
Keyword(s):  
Exchange Mechanism ◽  
Single Level ◽  
Bare Root ◽  
Feature Values ◽  
Lexical Phonology ◽  
San Martín

DiCanio et al. (2020) (this volume) argue that San Martín Itunyoso Triqui has a morphophonological exchange (also called ‘polarity’), where morphemes are realized by switching feature values: e.g. the bare root [anĩɦ] ‘get dirty’ is realized as [anĩː] in the 1s, while the root [aniː] ‘stop’ is 1s [anĩɦ]. In this Reply, I seek to clarify how the descriptive use of ‘exchange’ relates to and differs from its meaning in phonological theories. I also show that the issue of whether exchanges exist is highly theory-dependent. For SPE, Lexical Phonology and Morphology, and single-level parallelist OT with opacity mechanisms, the IT forms do not provide evidence for exchange mechanisms. In contrast, a version of OT that lacks opacity mechanisms probably cannot generate the IT forms without an exchange mechanism. Issues facing the analyst, such as how to prove that exchanges exist, and which apparent exchanges one should expect to observe, are also discussed.

Isolation, identification, cytotoxic activity, and metabolic profiles of fungi isolated from San Martín volcano soil

Planta Medica ◽  
2014 ◽  
Vol 80 (10) ◽  
Author(s):  
A Bautista ◽  
A Esquivel ◽  
O Villedas ◽  
M Figueroa
Keyword(s):  
Cytotoxic Activity ◽  
Metabolic Profiles ◽  
San Martín

Single-level anterior cervical fusion: a new method to evaluate the real need for plate augmentation

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Marco Ajello ◽  
Nicola Marengo ◽  
Paolo Pacca ◽  
Federico Pecoraro ◽  
Francesco Zenga ◽  
...  
Keyword(s):  
Anterior Cervical Fusion ◽  
New Method ◽  
Cervical Fusion ◽  
The Real ◽  
Single Level

IN MEMORIAM Imelda San Martín Bacaicoa

2016 ◽  
Vol 31 (2) ◽  
pp. 219-220
Author(s):  
Josefina SAN MARTÍN ◽  
Keyword(s):  
In Memoriam ◽  
San Martín

Reseña de Javier San Martín, La nueva imagen de Husserl, lecciones de Guanajuato, Trotta, 2015.

Open Insight ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 207
Author(s):  
Ignacio Quepons Ramírez
Keyword(s):  
San Martín

Reseña de Javier San Martín, La nueva imagen de Husserl, lecciones de Guanajuato, Trotta, 2015.

Obesity may be associated with adjacent-segment degeneration after single-level transforaminal lumbar interbody fusion in spinopelvic-mismatched patients with a minimum 2-year follow-up

2021 ◽  
Vol 34 (1) ◽  
pp. 83-88
Author(s):  
Ping-Guo Duan ◽  
Praveen V. Mummaneni ◽  
Minghao Wang ◽  
Andrew K. Chan ◽  
Bo Li ◽  
...  
Keyword(s):  
Interbody Fusion ◽  
Transforaminal Lumbar Interbody Fusion ◽  
Adjacent Segment Degeneration ◽  
Adjacent Segment ◽  
Lumbar Interbody Fusion ◽  
Inclusion Criteria ◽  
Single Level ◽  
Degenerative Lumbar Spondylolisthesis ◽  
Surgery Rates

OBJECTIVEIn this study, the authors’ aim was to investigate whether obesity affects surgery rates for adjacent-segment degeneration (ASD) after transforaminal lumbar interbody fusion (TLIF) for spondylolisthesis.METHODSPatients who underwent single-level TLIF for spondylolisthesis at the University of California, San Francisco, from 2006 to 2016 were retrospectively analyzed. Inclusion criteria were a minimum 2-year follow-up, single-level TLIF, and degenerative lumbar spondylolisthesis. Exclusion criteria were trauma, tumor, infection, multilevel fusions, non-TLIF fusions, or less than a 2-year follow-up. Patient demographic data were collected, and an analysis of spinopelvic parameters was performed. The patients were divided into two groups: mismatched, or pelvic incidence (PI) minus lumbar lordosis (LL) ≥ 10°; and balanced, or PI-LL < 10°. Within the two groups, the patients were further classified by BMI (< 30 and ≥ 30 kg/m2). Patients were then evaluated for surgery for ASD, matched by BMI and PI-LL parameters.RESULTSA total of 190 patients met inclusion criteria (72 males and 118 females, mean age 59.57 ± 12.39 years). The average follow-up was 40.21 ± 20.42 months (range 24–135 months). In total, 24 patients (12.63% of 190) underwent surgery for ASD. Within the entire cohort, 82 patients were in the mismatched group, and 108 patients were in the balanced group. Within the mismatched group, adjacent-segment surgeries occurred at the following rates: BMI < 30 kg/m2, 2.1% (1/48); and BMI ≥ 30 kg/m2, 17.6% (6/34). Significant differences were seen between patients with BMI ≥ 30 and BMI < 30 (p = 0.018). A receiver operating characteristic curve for BMI as a predictor for ASD was established, with an AUC of 0.69 (95% CI 0.49–0.90). The optimal BMI cutoff value determined by the Youden index is 29.95 (sensitivity 0.857; specificity 0.627). However, in the balanced PI-LL group (108/190 patients), there was no difference in surgery rates for ASD among the patients with different BMIs (p > 0.05).CONCLUSIONSIn patients who have a PI-LL mismatch, obesity may be associated with an increased risk of surgery for ASD after TLIF, but in obese patients without PI-LL mismatch, this association was not observed.

SMART IDENTIFICATION OF POWER QUALITY EVENTS USING NEW STOCKWELL TRANSFORM AND MACHINE LEARNING ALGORITHM

2019 ◽  
Vol XVI (4) ◽  
pp. 95-113
Author(s):  
Muhammad Tariq ◽  
Tahir Mehmood
Keyword(s):  
Machine Learning ◽  
Power Quality ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Noisy Environments ◽  
Satisfactory Performance ◽  
Feature Values ◽  
Learning Machine ◽  
Stockwell Transform ◽  
Electrical Utilities

Accurate detection, classification and mitigation of power quality (PQ) distortive events are of utmost importance for electrical utilities and corporations. An integrated mechanism is proposed in this paper for the identification of PQ distortive events. The proposed features are extracted from the waveforms of the distortive events using modified form of Stockwell’s transform. The categories of the distortive events were determined based on these feature values by applying extreme learning machine as an intelligent classifier. The proposed methodology was tested under the influence of both the noisy and noiseless environments on a database of seven thousand five hundred simulated waveforms of distortive events which classify fifteen types of PQ events such as impulses, interruptions, sags and swells, notches, oscillatory transients, harmonics, and flickering as single stage events with their possible integrations. The results of the analysis indicated satisfactory performance of the proposed method in terms of accuracy in classifying the events in addition to its reduced sensitivity under various noisy environments.

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