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Automated classification of big X-ray diffraction data using deep learning models

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npj Computational Materials 2023年第1期9卷 169-180页

作者： Jerardo E.Salgado Samuel Lerman Zhaotong Du Chenliang Xu Niaz abdolrahim Materials Science program University of RochesterRochesterNew York 14627USA Department of Computer Science University of RochesterRochesterNew York 14627USA Department of Mechanical Engineering University of RochesterRochesterNew York 14627USA Laboratory for Laser Energetics University of RochesterRochesterNew York 14627USA

In current in situ X-ray diffraction(XRD)techniques,data generation surpasses human analytical capabilities,potentially leading to the loss of *** techniques require human intervention,and lack the performance and adaptability required for material *** the critical need for high-throughput automated XRD pattern analysis,we present a generalized deep learning model to classify a diverse set of materials’crystal systems and space *** our approach,we generate training data with a holistic representation of patterns that emerge from varying experimental conditions and crystal *** also employ an expedited learning technique to refine our model’s expertise to experimental *** addition,we optimize model architecture to elicit classification based on Bragg’s Law and use evaluation data to interpret our model’s *** evaluate our models using experimental data,materials unseen in training,and altered cubic crystals,where we observe state-of-the-art performance and even greater advances in space group classification.

关键词： Automate classify cubic

Radiosynthesis and biodistribution of [^(18)F]-tetracosactide using a semi-automated [^(18)F]SFB production module

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Nuclear Science and Techniques 2009年第3期20卷 163-169页

作者： AKHLAGHI Mehdi AHI Leyla Pashaye JALILIAN Amir Reza GAROUSI Javad POUR-HERAVI Mohammad Reza abdolrahim Nuclear Medicine Group Agriculture Medicine and Industrial Research School Karaj Iran Chemistry Department Payame Noor University of Abhar Abhar Iran

In order to prepare a specific melanocortin type 2 receptor (MC2R) ligand, β1-24-corticotrophin was prepared in one-step reaction with [18F] SFB and β-1-24-corticotrophin pharmaceutical solution (1 mg/mL, pH=6.5). [18F]SFB was prepared in a semi-automated module in two steps with an overall radiochemical yield of 47% to EOB (not-decay corrected) in 90 min. The 18F-labeled intermediates and 18F-labeled peptide was checked by RTLC and HPLC. The results show that the radiochemical purity is >95% and the yield to EOB (not-decay corrected) is 29% for final 18F-labeled peptide at optimized conditions. Preliminary in vivo studies in normal mice were performed to determine biodistribution of the 18F-labeled peptide for 150 min. The results show that the major tracer uptake is consistent with the natural distribution of MC2R receptors in mammals. Testes/blood and testes/muscle ratios for 18F-labeled peptide at 150 min were 184 and 1.56, respectively, and adipocyte/blood and adipocyte/muscle ratios at 120 min were 221 and 142, respectively. The data support the specific receptor binding of the radiolabeled peptide as reported for MC2R receptor accumulation in adipocytes and testes and demonstrates the retention of biological activity of the peptide. This tracer can be used in detection of MC2R distribution in malignancies and sex organ diseases.

关键词： ^18F 电子战 EOB RTLC

An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

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npj Computational Materials 2023年第1期9卷 1524-1533页

作者： Ali KShargh Niaz abdolrahim Department of Mechanical Engineering University of RochesterRochesterNY 14627USA Materials Science program University of RochesterRochesterNY 14627USA Laboratory for Laser Energetics University of RochesterRochesterNY 14627USA

The high permeability and strong selectivity of nanoporous silicon nitride(NPN)membranes make them attractive in a broad range of *** their growing use,the strength of NPN membranes needs to be improved for further extending their biomedical *** this work,we implement a deep learning framework to design NPN membranes with improved or prescribed strength *** examine the predictions of our framework using physics-based *** results confirm that the proposed framework is not only able to predict the strength of NPN membranes with a wide range of microstructures,but also can design NPN membranes with prescribed or improved *** simulations further demonstrate that the microstructural heterogeneity that our framework suggests for the optimized design,lowers the stress concentration around the pores and leads to the strength improvement of NPN membranes as compared to conventional membranes with homogenous microstructures.

关键词： tunable prescribed strength

Frequent loss of heterozygosity at 8p22 chromosomal region in diffuse type of gastric cancer

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World Journal of Gastroenterology 2007年第24期13卷 3354-3358页

作者： Hedayat Allah Hosseini Ali Ahani Hamid Galehdari Ali Mohammad Froughmand Masoud Hosseini abdolrahim Masjedizadeh Mohammad Reza Zali Biochemistry Department Medical school Ahwaz JondishapoorUniversity of Medical Science Ahwaz Iran Biology Department Shahid Beheshti University Tehran Iran. Genetics Department Shahid Chamran University Ahwaz Iran Research Center of Gastroenterology and Liver Disease Shahid Beheshti University of Medical Science Tehran Iran

AIM: To study the loss of heterozygosity (LOH) at 8p21-23 locus in diffuse gastric ***: To evaluate the involvement of this region in gastric cancer, we used eight microsatellite markers covering two Mb of mentioned region, to perform a high-resolution analysis of allele loss in 42 cases of late diffuse gastric ***: Six of these STS makers: D8S1149, D8S1645, D8S1643, D8S1508, D8S1591, and D8S1145 showed 36%, 28%, 37%, 41%, 44% and 53% LOH, ***: A critical region of loss, close to the NAT2 locus and relatively far from FEZ1 gene currently postulated as tumor suppressor gene in this region.

关键词： loss of heterozygosity Tumor suppressor genes diffuse type of gastric cancer STS marker N-Acetyltransferase 2 Fez1

Grid dispersion in generating finite-differences synthetic seismograms

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Acta Seismologica Sinica(English Edition) 1994年第3期7卷 397-407页

作者： abdolrahim Javaherian (Institute of Geophysics, the University of Tehran, P. O. Box 14155-4666 Tehran, Islamic Republic of Iran) Institute of Geophysics the University of Tehran Tehran Islamic Republic of Iran

In order to obtain a finite-difference synthetic seismogram, the finite earth model must be subdivided into *** the cell size becomes too large in comparison with wavelength of the source signal, waves disperse with increasing traveltime. This phenomenon is known as grid dispersion. The grid dispersion produces a variation of velocity with different frequencies; that is the higher signal frequencies travel more slowly than the lower signal frequencies. Consequently, substantial tailing of the signal arises with increasing traveltime. This may happpen if: (1) the grid spacing is large; (2) the sampling rate is large; or (3) the source wavelength is too short compared with grid size. In other words, an important parameter in generating finite-difference synthetic seismograms is the number of grid points per wavelength of the source signal. In this paper, it is shown that the frequency of a source function has great effects on grid dispersion when P-Sv coupled waves propagate through elastic models by finite-differences. The two-dimensional elastic models considered in this paper consist of : (1) a normal fault, and (2) a layer over a half-space. This study verifies that, when generating finite-difference synthetic seismograms, the grid dispersion will be reduced to a satisfactory level if the grid points per wavelength at the half-power frequency of the source signal for the lowest velocity of the medium exceeds ten.

关键词： grid dispersion finite differencess synthetic seismograms

The　optimum　source－time　function　for　generating　finite－difference　synthetic　seismograms

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Acta Seismologica Sinica(English Edition) 1994年第1期7卷 23-31页

作者： abdolrahim JAVAHERIAN(Institute of Geophysics,the University Of Tehran, P.O.Box 14155-6466 Tehran,Islamic Republic of Iran) Institute of Geophysics the University of Tehran Tehran Islamic Republic of Iran

A source-time function plays an important role in generating finite-difference synthetic *** this regard,we consider the amplitude spectra of five different time *** investigation shows that when the high-frequency signals of the time function carry more power than the main signal,the tailing phenomena would be associated with the main signal which is not desirable in producing finite-difference synthetic *** is illustrated that the time function denoted by is the optimal source-time function among those examined in this paper for generating finite-difference synthetic *** matter is also verified by making finite-difference synthetic seismograms over an elastic earth model consisting of a layer over a half space.

关键词： source-time function finite-difference synthetic seismograms

Disorder Effect on the Transmission of Second Harmonic Waves in One-Dimensional Periodically Poled LiTaO<sub>3</sub>

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Journal of Modern Physics 2019年第4期10卷 432-442页

作者： Bahrami Omid Baharvand abdolrahim Bahari Ali Department of Physics Faculty of Science Lorestan University Khorram-Abad Iran

One of the methods for calculating electromagnetic wave dispersion in multi-layer structures is the transfer matrix method. In this paper, we use the transfer matrix method for second harmonic generation in a nonlinear multilayer structure. The nonlinear photonic crystals investigated in this paper are as one-dimensional multi-layered structures including ferroelectric materials such as LiTaO3. Our goal is to investigate the effect of the disorder on the transmission spectrum of electromagnetic waves. Our results showed that positional disorder has different effects on the transmitting band and the gap band. The disorder in the transmitting band reduces the transmission coefficient of the waves and increases the transmission coefficient of the waves in the gap band. Such work has not yet been done on nonlinear photonic crystals producing the second harmonic.

关键词： Transfer Matrix Method Nonlinear Photonic Crystal Random Binary Medium Transmission Spectra Disorder Effect Second Harmonic Waves

Accuracy of Cardiogoniometry in Diagnosis of Coronary Artery Disease in Patients with Angina Pectoris

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World Journal of Cardiovascular Diseases 2016年第11期6卷 383-390页

作者： Seyed Masoud Seyedian Farzaneh Ahmadi Samira Maalhagh Fard abdolrahim Nejat Bakhsh Cardiovascular Disease Research Center Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran

Background: Cardiogoniometry (CGM) is a novel non-invasive technique for quantitative three-dimensional vectorial analysis of myocardial depolarization and repolarization. We aimed to determine the diagnostic value of cardiogoniometry for the identification of coronary artery disease (CAD) in patients with history of chest pain. Materials and Methods: Cardiogoniometry was performed in 190 patients with history of chest pain prior to diagnostic coronary angiography. Then cardiogoniometry parameters correlated with angiography findings to determine accuracy of cardiogoniometry for diagnose of CAD. Result: Cardiogoniometry showed a sensitivity of 72% and a specificity of 60%, which was less sensitive than perfusion scan but more sensitive than the ECG and comparable with exercise ECG. The specificity was less than these three methods. Conclusions: Cardiogoniometry is a new, noninvasive method which is helpful in identifying patients with coronary artery disease and can be performed at rest and free of risk such as radiation exposure, and also is suitable for patients who are not able to exercise.

关键词： Angina Ischemia Coronary Artery Disease Cardiogoniometry Non-Invasive Techniques

Facilitating knowledge management strategies through IT and HRM

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Chinese Business Review 2010年第10期9卷 57-66页

作者： Mehrdad Madhoushi abdolrahim Sadati Hamidreza Delavari Mohsen Mehdivand Mozhdeh Hedayatifard Faculty of Economic and Administrative Sciences University of Mazandaran Campus Babolsar Iran

In an increasingly competitive environment, where new business practices are regularly introduced, organizations have to be innovative to survive. In the present competitive climate, knowledge is considered as the main distinguishing factor of business success, and it is seen as the foundation of organization＇s innovation. The emergence of knowledge-intensive society has changed the nature of business competition. Hence knowledge needs to be appropriately managed. Knowledge Management （KM） focuses on managing different knowledge processes such as acquiring, creating, storing, sharing, transferring and applying implicit and explicit knowledge with objective of product and process innovation, performance development and sustainable competitive advantage. This paper tries to demonstrate KM lead to promotion of innovation and performance when it is correctly supported by human resource management （HRM） and information technology （IT）. The questions we will try to investigate in this paper are： How knowledge in organizations can be managed？ What is the connection between HRM, IT and effective implementation knowledge management strategies and how these relationships affect on organizational goals？ For this means, this study ftrst states the importance of knowledge, KM process and introduces two strategies for managing knowledge （exploitative and explorative strategy）. Next, it demonstrates each strategy requires to desired facilitator to support them in action. Finally, with presenting of model, this study concludes that each one of strategy can cover some KM process. Hence for the effective implementation of knowledge management process, organizations have to utilize both strategies.

关键词： knowledge management exploitative strategy explorative strategy IT HRM