Grammatical inference for even linear languages based on control sets

1988 ◽  
Vol 28 (4) ◽  
pp. 193-199 ◽  
Author(s):  
Yuji Takada
2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Negisa Darajeh ◽  
Azni Idris ◽  
Paul Truong ◽  
Astimar Abdul Aziz ◽  
Rosenani Abu Bakar ◽  
...  

Palm oil mill effluent (POME), a pollutant produced by the palm oil industry, was treated by the Vetiver system technology (VST). This technology was applied for the first time to treat POME in order to decrease biochemical oxygen demand (BOD) and chemical oxygen demand (COD). In this study, two different concentrations of POME (low and high) were treated with Vetiver plants for 2 weeks. The results showed that Vetiver was able to reduce the BOD up to 90% in low concentration POME and 60% in high concentration POME, while control sets (without plant) only was able to reduce 15% of BOD. The COD reduction was 94% in low concentration POME and 39% in high concentration POME, while control just shows reduction of 12%. Morphologically, maximum root and shoot lengths were 70 cm, the number of tillers and leaves was 344 and 86, and biomass production was 4.1 kg m−2. These results showed that VST was effective in reducing BOD and COD in POME. The treatment in low concentration was superior to the high concentration. Furthermore, biomass of plant can be considered as a promising raw material for biofuel production while high amount of biomass was generated in low concentration of POME.


2018 ◽  
Vol 56 (6) ◽  
pp. 4130-4147 ◽  
Author(s):  
Fritz Colonius ◽  
Joa͂o A. N. Cossich ◽  
Alexandre J. Santana

Neurology ◽  
2018 ◽  
Vol 92 (1) ◽  
pp. e55-e62 ◽  
Author(s):  
Alexandre Roux ◽  
Myriam Edjlali ◽  
Sayuri Porelli ◽  
Arnault Tauziede-Espariat ◽  
Marc Zanello ◽  
...  

ObjectiveTo determine the prevalence of developmental venous anomaly in adult patients with diffuse glioma.MethodsWe performed a retrospective cohort study (2010–2016) of consecutive adult patients harboring a supratentorial diffuse glioma in 2 centers: Sainte-Anne Hospital (experimental and control sets) and Pitié-Salpêtrière Hospital (external validation set). We included 219 patients with diffuse glioma (experimental set), 252 patients with brain metastasis (control set), and 200 patients with diffuse glioma (validation set). The inclusion criteria were age ≥18 years at diagnosis, histopathologic diagnosis of diffuse glioma according to the 2016 World Health Organization classification of tumors of the CNS, surgery as first-line treatment without previous oncologic treatment, available presurgical MRI performed with similar acquisition protocol, and absence of a nodular-like or a ring-like pattern of contrast enhancement on MRI that may preclude the identification of a possible developmental venous anomaly within the glioma.ResultsWe found more developmental venous anomaly in the experimental set (21.5%) than in the control set (5.2%, p < 0.001). Similarly, we found more developmental venous anomaly in the validation set (23.5%) than in the control set (5.2%, p < 0.001). There was no difference in the developmental venous anomaly prevalence between the experimental and validation sets. The developmental venous anomaly distribution was not significantly associated with histopathologic, molecular, or imaging findings of the diffuse gliomas.ConclusionsWe report and replicate in an external cohort a high prevalence of developmental venous anomaly in adult patients with diffuse glioma, which suggests a potential underlying common predisposition or a causal relationship that requires deeper investigations.


Author(s):  
Lorenza Saitta ◽  
Michele Sebag

2011 ◽  
pp. 458-458
Author(s):  
Xinhua Zhang ◽  
Novi Quadrianto ◽  
Kristian Kersting ◽  
Zhao Xu ◽  
Yaakov Engel ◽  
...  

2020 ◽  
Vol 10 (23) ◽  
pp. 8747
Author(s):  
Wojciech Wieczorek ◽  
Olgierd Unold ◽  
Łukasz Strąk

Grammatical inference (GI), i.e., the task of finding a rule that lies behind given words, can be used in the analyses of amyloidogenic sequence fragments, which are essential in studies of neurodegenerative diseases. In this paper, we developed a new method that generates non-circular parsing expression grammars (PEGs) and compares it with other GI algorithms on the sequences from a real dataset. The main contribution of this paper is a genetic programming-based algorithm for the induction of parsing expression grammars from a finite sample. The induction method has been tested on a real bioinformatics dataset and its classification performance has been compared to the achievements of existing grammatical inference methods. The evaluation of the generated PEG on an amyloidogenic dataset revealed its accuracy when predicting amyloid segments. We show that the new grammatical inference algorithm achieves the best ACC (Accuracy), AUC (Area under ROC curve), and MCC (Mathew’s correlation coefficient) scores in comparison to five other automata or grammar learning methods.


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