ORCID Profile
0000-0002-4798-8031
Current Organisation
Ramin Agricultural and Natural Resources University
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Publisher: SAGE Publications
Date: 11-11-2014
Abstract: In this project, free vibration testing and dynamic mechanical analysis methods were used to study the d ing properties of noil hemp fibre-reinforced polypropylene composites with varying fibre contents (0 to 60 wt%) and compatibilizers (maleic anhydride-grafted polypropylene and maleic anhydride-grafted polyethylene octane) under applied frequencies of 1 to 200 Hz. The storage modulus of the composites was increased by the increase in hemp fibre content. However, the maximum d ing ratio was obtained from the composite with 30 wt% noil hemp fibre. The addition of coupling agents reduced the d ing capacity of all composites. However, 30 wt% noil hemp fibre-reinforced polypropylene coupled with 2.5 wt% anhydride-grafted poly ethylene octane revealed the highest d ing ratio among coupled composites. D ing properties of the composites were relatively constant over the frequency range, except at frequencies which the material–instrument system began to resonate and peaks were observed in the curves.
Publisher: American Society of Agricultural and Biological Engineers (ASABE)
Date: 2018
DOI: 10.13031/AEA.12403
Publisher: Elsevier BV
Date: 02-2018
Publisher: Springer Science and Business Media LLC
Date: 24-02-2018
Publisher: MDPI AG
Date: 15-12-2019
DOI: 10.3390/ANI9121149
Abstract: Past publications describe the various impact of feeding behavior of broilers on productivity and physiology. However, very few publications have considered the impact of biomechanics associated with the feeding process in birds. The present study aims at comparing the kinematic variables of young broiler chicks (3–4 days old 19 specimens) while feeding them with three different feed types, such as fine mash (F1), coarse mash (F2), and crumbled feed (F3). The feeding behavior of the birds was recorded using a high-speed camera. Frames sequences of each mandibulation were selected manually and classified according to the temporal order that occurred (first, second, third, or fourth, and further). The head displacement and the maximum beak gape were automatically calculated by image analysis. The results did not indicate strong correlations between birds’ weight, beak size (length and width), and the kinematic variables of feeding. The differences between the tested feed were found mostly in the first and second mandibulations, probably explained by the higher incidence of “catch-and-throw” movements in F3 (33%) and F1 (26%) than F2 (20%). The “catch-and-throw” movements in F1 (the smallest feed particle) mostly occurred in the first mandibulation, as in F3 (the largest feed particle) also occurred in the latest mandibulations. It might be suggested that the adoption of “catch-and-throw” in the latest mandibulations increases with larger particles. The kinematic variables in the latest mandibulations (from the third one on) seem to be similar for all feed types, which represent the swallowing phase. It might be inferred that the temporal sequence of the mandibulations should be essential to describe the kinematics of a feeding scene of broiler chickens, and the first and second mandibulations are potentially the key factors for the differences accounted by the erse feed particle sizes.
Publisher: Elsevier BV
Date: 2022
Publisher: Elsevier BV
Date: 03-2023
Publisher: Springer Science and Business Media LLC
Date: 04-07-2018
Publisher: Springer Science and Business Media LLC
Date: 12-07-2018
Publisher: Elsevier BV
Date: 05-2019
Publisher: Elsevier BV
Date: 06-2015
Publisher: Informa UK Limited
Date: 27-12-2017
Publisher: FapUNIFESP (SciELO)
Date: 09-2018
Publisher: Elsevier BV
Date: 09-2018
Publisher: Elsevier BV
Date: 07-2013
Publisher: Springer Science and Business Media LLC
Date: 02-03-2021
DOI: 10.1038/S41421-021-00243-8
Abstract: In mammals, many organs lack robust regenerative abilities. Lost cells in impaired tissue could potentially be compensated by converting nearby cells in situ through in vivo reprogramming. Small molecule-induced cell reprogramming offers a temporally flexible and non-integrative strategy for altering cell fate, which is, in principle, favorable for in vivo reprogramming in organs with notoriously poor regenerative abilities, such as the brain. Here, we demonstrate that in the adult mouse brain, small molecules can reprogram astrocytes into neurons. The in situ chemically induced neurons resemble endogenous neurons in terms of neuron-specific marker expression, electrophysiological properties, and synaptic connectivity. Our study demonstrates the feasibility of in vivo chemical reprogramming in the adult mouse brain and provides a potential approach for developing neuronal replacement therapies.
Publisher: Springer Science and Business Media LLC
Date: 26-10-2019
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 04-2022
Publisher: Elsevier BV
Date: 12-2017
Publisher: MDPI AG
Date: 26-07-2023
DOI: 10.3390/HORTICULTURAE9080853
Abstract: Greenhouses are essential for agricultural production in unfavorable climates. Accurate temperature predictions are critical for controlling Heating, Ventilation, Air-Conditioning, and Dehumidification (HVACD) and lighting systems to optimize plant growth and reduce financial losses. In this study, several machine models were employed to predict indoor air temperature in an even-span Mediterranean greenhouse. Radial Basis Function (RBF), Support Vector Machine (SVM), and Gaussian Process Regression (GPR) were applied using external parameters such as outside air, relative humidity, wind speed, and solar radiation. The results showed that an RBF model with the LM learning algorithm outperformed the SVM and GPR models. The RBF model had high accuracy and reliability with an RMSE of 0.82 °C, MAPE of 1.21%, TSSE of 474.07 °C, and EF of 1.00. Accurate temperature prediction can help farmers manage their crops and resources efficiently and reduce energy inefficiencies and lower yields. The integration of the RBF model into greenhouse control systems can lead to significant energy savings and cost reductions.
Publisher: Informa UK Limited
Date: 04-03-2017
Publisher: Springer Science and Business Media LLC
Date: 30-08-2015
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 12-2020
Publisher: Springer Science and Business Media LLC
Date: 08-08-2022
Publisher: Walter de Gruyter GmbH
Date: 13-04-2016
Publisher: Informa UK Limited
Date: 16-02-2017
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 12-2014
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 10-2015
Publisher: MDPI AG
Date: 29-09-2023
Publisher: Wiley
Date: 27-12-2023
DOI: 10.1002/FSN3.3211
Abstract: Recently, the application of Fourier transform infrared (FT‐IR) spectroscopy as a noninvasive technique combined with chemometric methods has been widely noted for quality evaluation of agricultural products. Mulberry ( Morus alba var. nigra L.) is a native fruit of Iran and there is limited information about its quality characteristics. The present study aims at assessing a nondestructive optical method for determining the internal quality of mulberry juice. To do so, first, FT‐IR spectra were acquired in the spectral range 1000–8333 nm. Then, the principal component analysis (PCA) was used to extract the principal components (PCs) which were given as inputs to three predictive models (support vector regression (SVR), partial least square (PLS), and artificial neural network (ANN)) to predict the internal parameters of the mulberry juice. The performance of predictive models showed that SVR got better results for the prediction of ascorbic acid ( R 2 = .84, RMSE = 0.29), acidity ( R 2 = .71, RMSE = 0.0004), phenol ( R 2 = .35, RMSE = 0.19), total anthocyanin ( R 2 = .93, RMSE = 5.85), and browning ( R 2 = .89, RMSE = 0.062) compared to PLS and ANN. However, the ANN predicted the parameters TSS ( R 2 = .98, RMSE = 0.003) and pH ( R 2 = .99, RMSE = 0.0009) better than the other two models. The results indicated that a good prediction performance was obtained using the FT‐IR technique along with SVR and this method could be easily adapted to detect the quality parameters of mulberry juice.
Publisher: MDPI AG
Date: 10-09-2023
DOI: 10.3390/ANI13182874
Publisher: Asian Agricultural and Biological Engineering Association
Date: 10-2017
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 06-2013
Publisher: MDPI AG
Date: 05-06-2023
DOI: 10.3390/W15112138
Publisher: Springer Science and Business Media LLC
Date: 13-09-2023
Location: Iran (Islamic Republic of)
No related grants have been discovered for Saman Abdanan Mehdizadeh.