24 research outputs found

    Mass and Surface Area Modeling of Bergamot (Citrus medica) Fruit with Some Physical Attributes

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    Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): Mass and Surface Area Modeling of Bergamot (Citrus medica) Fruit with Some Physical Attributes. Manuscript FP 07 029. Vol. IX. October, 2007

    Some Physical properties of Date Fruit (cv. Lasht)

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    Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 9 (2007): Some Physical properties of Date Fruit (cv. Lasht). Manuscript FP 07 019. Vol. IX. August, 2007

    Design, Construction and Performance Evaluation of a Metal Oxide Semiconductor (MOS) Based Machine Olfaction (Electronic Nose) for Monitoring of Banana Ripeness

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    Aroma is one of the most important sensory properties of fruits and is particularly sensitive to the changes in fruit compounds. Gases involved in aroma of fruits are produced from the metabolic activities during ripening, harvest, post-harvest and storage stages. Therefore, the emitted aroma of fruits changes during the shelf-life period. The electronic nose (machine olfaction) would simulate the human sense of smell to identify and realize the complex aromas by using an array of chemical sensors. In this research, a low cost electronic nose based on six metal oxide semiconductor (MOS) sensors were designed, developed and implemented and its ability for monitoring changes in aroma fingerprint during ripening of banana was studied. The main components are used in the e-nose system include sampling system, an array of gas sensors, data acquisition system and an appropriate pattern recognition algorithm. Linear Discriminant Analysis (LDA) technique was used for classification of the extracted features of e-nose signals. Based on the results, the classification accuracy of 97/3% was obtained. Results showed the high ability of e-nose for distinguishing between the stages of ripening. It is concluded that the system can be considered as a nondestructive tool for quality control during banana shelf-life

    Physical properties of safflower stalk

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    A case of giant prolactinoma, initially misdiagnosed as sinonasal neuroendocrine carcinoma

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    AbstractGiant prolactinomas are defined as pituitary tumors greater than 4cm, often associated with very high prolactin level (>1000ng/mL). They are relatively rare tumors and can present differently from typical prolactinomas. They can be highly invasive, resulting in acute neurological complication at the time of presentation. We present a case of a young woman with giant prolactinoma initially misdiagnosed as sinonasal neuroendocrine carcinoma. The acute presentation of headache, ptosis and impending brain herniation, requiring emergent ventriculostomy and intubation, led to the clinical suspicion of a more sinister diagnosis. Transnasal biopsy of the mass was consistent with sinonasal neuroendocrine carcinoma, and chemotherapy was planned. Laboratory testing, however, revealed an elevated prolactin (27,400ng/mL, after 1:100 dilution). Re-review of pathology with additional immunohistochemical staining was requested and confirmed the diagnosis of prolactinoma. After 5months of cabergoline treatment, prolactin level has decreased to 118ng/mL. There has been a marked reduction in tumor size and an almost complete resolution of neurological symptoms. Given their atypical presentation and potential for sharing common immunohistochemical stains with other neuroendocrine neoplasms, giant prolactinomas extending into the nasal cavity can be misdiagnosed as other neuroendocrine neoplasms which may develop at this site. Accurate diagnosis is imperative to prevent unnecessary surgery and/or radiation and to ensure implementation of dopamine agonist therapy

    Modeling of Neonatal Skull Development Using Computed Tomography Images

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    International audienceNeonatal skull anatomy and its evolution have received less attention with respect to the brain anatomy in neuroscience and neuroanatomy studies. Meanwhile, their influence on normal brain development and their impact on the results of functional brain studies have been demonstrated by several researches. Such disesteem is due to the weak appearance of the cranial bones, fontanels and sutures in images acquired by MRI which presents actually the only available aperture for observing the neonatal head volume in details. This paper presents an unprecedented retrospective CT-based study on modeling the neonatal skull and its development during the first weeks of life in a standard space defined by the available neonatal MRI model. We create two neonatal head atlases for the age ranges of 39-40 and 41-42 week's gestational age using symmetric group-wise normalization method. The created atlases allow direct observation of ossification patterns and precise three-dimensional measurement of anatomical features from neonatal skull during development. Development of the neonatal skull has been examined here using nineteen CT scans of neonates with two-week gestational age ranges of 39 to 40 and 41 to 42. Deformation-based morphometry method is applied with the use of Jacobian determinant maps to identify growth patterns and observe ossification during specified time interval. Precise three-dimensional measurements of anterior fontanel size, scalp eliminated head circumference and the area corresponding to the fontanel-sutures were performed by extracting fontanels and sutures. (c) 2020 AGBM. Published by Elsevier Masson SAS. All rights reserved

    D:Int Agrophysics -3ShahbaziShahbazi.vp

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    A b s t r a c t. The objective of this research was to determine the effects of moisture content and stalk region on some physical and mechanical properties of safflower stalks. The experiments were conducted at four moisture contents of 9.98, 17.85, 26.37 and 38.75% w.b. and at the bottom, middle and top regions of stalk. The values of the stalk physical properties increased with increasing moisture content. Their values also increased towards the bottom region. The bending stress and Young modulus in bending decreased with increase in the moisture content and increased towards the top regions. The average bending stress values and Young modulus in bending varied between 47.71 and 25.9 MPa and between 2.52 and 1.28 GPa, respectively. The shearing stress and the specific shearing energy increased with increasing moisture content. Their values also increased towards the bottom region of the stalk. The maximum shear stress and specific shearing energy were found to be 7.66 MPa and 33.05 mJ mm -2 , respectively, and both occurred at the bottom region with the moisture content of 38.75% w.b. K e y w o r d s: safflower stalk, bending stress, Young modulus, shearing stress, specific shearing energ
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