Towards explainable augmented intelligence (AI) for crack characterization

International audienceCrack characterisation is one of the central tasks of NDT&E (the Non-Destructive Testing and Evaluation) of industrial components and structures. These days data necessary for carrying out this task are often collected using ultrasonic phased arrays. Many ultrasonic phased array inspections are automated but data interpretation is not. This paper offers an approach to design-ing an explainable AI (augmented intelligence) to meet this challenge. It describes a C code called AutoNDE, which comprises a signal-processing module based on a modified total focusing meth-od that creates a sequence of two-dimensional images of an evaluated specimen; an im-age-processing module, which filters and enhances these images; and an explainable AI module - a decision tree, which selects images of possible cracks, groups those of them that appear to rep-resent the same crack and produces for each group a possible inspection report for perusal by a human inspector. AutoNDE has been trained on 18 datasets collected in three different laborato-ries by imaging steel specimens with large smooth planar notches, both embedded and sur-face-breaking. The paper presents results of this training and describes in detail an approach to dealing with the main source of error in ultrasonic data - undulations in the specimen surfaces

Plasma fluoride levels in preterm babies

[No abstract available

Towards Explainable Augmented Intelligence (AI) for Crack Characterization

Crack characterization is one of the central tasks of NDT&E (the Non-destructive Testing and Evaluation) of industrial components and structures. These days data necessary for carrying out this task are often collected using ultrasonic phased arrays. Many ultrasonic phased array inspections are automated but interpretation of the data they produce is not. This paper offers an approach to designing an explainable AI (Augmented Intelligence) to meet this challenge. It describes a C code called AutoNDE, which comprises a signal-processing module based on a modified total focusing method that creates a sequence of two-dimensional images of an evaluated specimen; an image-processing module, which filters and enhances these images; and an explainable AI module—a decision tree, which selects images of possible cracks, groups those of them that appear to represent the same crack and produces for each group a possible inspection report for perusal by a human inspector. AutoNDE has been trained on 16 datasets collected in a laboratory by imaging steel specimens with large smooth planar notches, both embedded and surface-breaking. It has been tested on two other similar datasets. The paper presents results of this training and testing and describes in detail an approach to dealing with the main source of error in ultrasonic data—undulations in the specimens’ surfaces

THE AICARDI SYNDROME - A CASE-REPORT AND REVIEW OF THE LITERATURE

WOS: A1993MX05600011PubMed ID: 8160283A case of Aicardi's syndrome is described. The main features described are infantile spasms, pathognomonic chorioretinal lacunar defects, agenesis of the corpus callosum, psychomotor retardation, female sex, characteristic EEG changes and costovertebral anomalies. This is the second reported case in Turkey

The Aicardi syndrome. A case report and review of the literature

PubMedID: 8160283A case of Aicardi's syndrome is described. The main features described are infantile spasms, pathognomonic chorioretinal lacunar defects, agenesis of the corpus callosum, psychomotor retardation, female sex, characteristic EEG changes and costovertebral anomalies. This is the second reported case in Turkey

Comparative leaf anatomy of three food plants that are used medically; Mespilus germanica L., Malus sylvestris (L.) Mill. subsp. orientalis and Cydonia oblonga Mill. (Rosaceae)

Anatomy of leaf cross sections were carried out on the three food plants that are used medically in the family Rosaceae; Mespilus germanica L. (Musmula), Malus sylvestris (L.) Mill. (Elma) and Cydonia oblonga Mill. (Ayva) Anatomical features of the leaves were good taxonomic markers, especially concerning their palisade cells, cuticle, vascular bundles, crystals, stomatal index, and stomata structure. The bifacial blade has a heterogeneous and hipostomatic mesophyll and possesses a fascicular vascular system. Non-glandular trichomcs arc present in the lower epidermis. Paradermal sections of the lower epidermis disclose epidermal cells with undulate walls and anomocytic stomata type for C. oblonga and M. sylvestris, but actinocytic stomata type for M. germanica. It was calculated that the stomatal index ranges 16.08 mu m-22.54 mu m. This is the first study of leaf anatomy on the species

Acute yellow phosphorus intoxication: Five cases and review of literature

In this article, clinical, laboratory and pathological findings of five cases of phosphorus poisoning by oral ingestion of catapat, who were admitted to the pediatric emergency section of Cukurova University Faculty of Medicine have been discussed in the light of related literature. Three boys and two girls were admitted with vomiting, abdominal pain, irritability, lethargy, convulsion and conscious change following oral ingestion of catapat. The patients who came to the hospital within 24 hours after taking the toxic matter were charged and supportive therapy was applied, however, four of them died. In three cases, histopathological preparations obtained from the postmortal liver biopsy revealed along with fatty and hydropic degeneration. We were also observed infiltration of mononuclear cells, proliferation of bile canaliculi, extensive necrotic areas, portal fibrosis. Pathological anatomical investigation of other tissues has also been applied in one case. It has been stated in the literature that the rate of mortality in cases, in which diagnosed of central nervous system are observed in early phases, are high (73%). In our cases, this ratio was 80%. It has been concluded that oral ingestion of catapat, especially appealing to children in festival days is highly toxic and lethal

Primary bone hemangioma

[No abstract available

Traditional Knowledge of Wild Edible Plants of Biga (Canakkale), Turkey

Biga, located in the southwestern part of the Marmara Region of Turkey, is the largest district of Canakkale. Wild edible plants and the ways in which they are used in Biga have not previously been documented. This ethnobotanical study of Biga was conducted between June 2011 and September 2014. In this study, we recorded information such as the local names of plants, the manner in which they are used, and the particular parts of the plants used. The cultural importance index was calculated for each taxon. One hundred and sixty-five interviews were conducted in 49 villages. The study revealed that 55 wild edible plant taxa belonging to 41 genera are used in this area. The most frequently used families are Rosaceae, Lamiaceae, Polygonaceae, and Apiaceae. The genera that represented the greatest number of taxa included Rumex (six taxa), Thymus, Eryngium, Mentha, Oenanthe, Papaver, Prunus, Rubus, and Urtica (each containing two taxa). The most culturally important species were Urtica dioica, U. urens, Malva sylvestris, Thymus longicaulis subsp. longicaulis var. subisophyllus, and Cornus mas. Local people consumed plants in the form of vegetables, fruits, beverages like herbal teas, spices, and other products. Edible parts of plants included leaves, aerial parts, young stems, and fruits. The results of our study showed that even in districts located close to cities, the use of wild edible plants still continues.Research Fund of Bezmialem Vakif UniversityBezmialem Vakif University [9.2011/5]This work was supported by the Research Fund of Bezmialem Vakif University under project number 9.2011/5.WOS:0005289862000042-s2.0-8508403412

Serum zinc and copper levels in children with malnutrition

[No abstract available