Search for: khazaei--e
0.112 seconds

    A simple correlation to estimate natural gas viscosity

    , Article Journal of Natural Gas Science and Engineering ; Volume 20 , September 2014 , Pages 50–57 Jarrahian, A ; Heidaryan, E ; Sharif University of Technology
    September 2014
    A general investigation of the viscosity of natural gas as a function of temperature, pressure and composition was carried out to develop a generalized correlation. The model obtained was based on 3231 data points of 29 multicomponent mixtures in wide ranges of pressures (0.1-137.8MPa), temperatures (241-473K) and specific gravities (0.573-1.337). Correction terms for non-hydrocarbons of hydrogen sulfide, carbon dioxide and nitrogen were up to 70, 54.4 and 15.8 of mole percent, respectively. The arithmetic average of the model's absolute error was found to be 5.05%, which is acceptable in engineering calculations and has superiority over other methods in its class  

    Metal-Organic framework derived CuCo2O4 as a promising Co-Catalyst for improving electrochemical hydrogen evolution activity of MoS2 nanoflowers

    , Article Chemical Physics Letters ; Volume 809 , 2022 ; 00092614 (ISSN) Koohdareh, A.R ; Taherinia, D ; Akbarzadeh, E ; Gholami, M.R ; Sharif University of Technology
    Elsevier B.V  2022
    The great promise of electrochemical water splitting for green and sustainable hydrogen fuel production has motivated researchers to strive for more efficient and low-cost catalysts based on non-precious metals. In this study, MoS2 nanoflowers decorated with CuCo2O4 were successfully synthesized, and their catalytic activities toward the electrochemical hydrogen evolution reaction (HER) in an alkaline medium were investigated. The composition, structure, and morphology of the as-synthesized catalysts were explored by various techniques such as FT-IR, XRD, BET, SEM, and TEM. To maximize the catalytic activity, the composition of the nanocomposites was systematically varied. Catalytic results... 

    CoPA: Cold page awakening to overcome retention failures in STT-MRAM Based I/O Buffers

    , Article IEEE Transactions on Parallel and Distributed Systems ; Volume 33, Issue 10 , 2022 , Pages 2304-2317 ; 10459219 (ISSN) Hadizadeh, M ; Cheshmikhani, E ; Rahmanpour, M ; Mutlu, O ; Asadi, H ; Sharif University of Technology
    IEEE Computer Society  2022
    Performance and reliability are two prominent factors in the design of data storage systems. To achieve higher performance, recently storage system designers use DynamicDynamic RAMRAM (DRAM)-based buffers. The volatility of DRAM brings up the possibility of data loss and data inconsistency. Thus, a part of the main storage is conventionally used as the journal area to be able of recovering unflushed data pages in the case of power failure. Moreover, periodically flushing buffered data pages to the main storage is a common mechanism to preserve a high level of reliability. This scheme, however, leads to a considerable increase in storage write traffic, which adversely affects the performance.... 

    A new supply chain distribution network design for two classes of customers using transfer recurrent neural network

    , Article International Journal of System Assurance Engineering and Management ; Volume 13, Issue 5 , 2022 , Pages 2604-2618 ; 09756809 (ISSN) Najjartabar Bisheh, M ; Nasiri, G. R ; Esmaeili, E ; Davoudpour, H ; Chang, S. I ; Sharif University of Technology
    Springer  2022
    Supply chain management integrates planning and controlling of materials, information, and finances in a process which begins from suppliers and ends with customers. Optimal planning decisions made in such a distribution network usually include transportation, facilities location, and inventory. This study presents a new approach for considering customers’ differentiation in an integrated location-allocation and inventory control model using transfer recurrent neural network (RNN). In this study, a location and allocation problem is integrated with inventory control decisions considering two classes of strategic and non-strategic customers. For the first time, a novel transfer RNN is applied... 

    Large deformation of shape-memory polymer-based lattice metamaterials

    , Article International Journal of Mechanical Sciences ; Volume 232 , 2022 ; 00207403 (ISSN) Pirhaji, A ; Jebellat, E ; Roudbarian, N ; Mohammadi, K ; Movahhedy, M. R ; Asle Zaeem, M ; Sharif University of Technology
    Elsevier Ltd  2022
    Through advanced computational analysis, this work demonstrates that metamaterial structures when made by shape-memory polymers (SMPs) can provide unique intelligent mechanical behavior. For the first time, geometrical effects, pertaining to low and ultra-low densities, on the thermomechanical behavior of SMP-based octet-truss lattice meta-structures are studied in this work. A reliable constitutive thermo-visco-hyperelastic model is applied to analyze the shape-memory behavior of several designed octet-truss lattices with ultra-low and low relative densities, ranging from 0.04 to 0.23. Different compressive strain values are tested to determine the effect of pre-straining. It is concluded... 

    Measurement of the higgs boson width and evidence of its off-shell contributions to ZZ production

    , Article Nature Physics ; Volume 18, Issue 11 , 2022 , Pages 1329-1334 ; 17452473 (ISSN) Tumasyan, A ; Adam, W ; Andrejkovic, J. W ; Bergauer, T ; Chatterjee, S ; Damanakis, K ; Dragicevic, M ; Del Valle, A.E ; Frühwirth, R ; Jeitler, M ; Krammer, N ; Lechner, L ; Liko, D ; Mikulec, I ; Paulitsch, P ; Pitters, F.M ; Schieck, J ; Schöfbeck, R ; Schwarz, D ; Templ, S ; Waltenberger, W ; Wulz, C.-E ; Chekhovsky, V ; Litomin, A ; Makarenko, V ; Darwish, M.R ; De Wolf, E.A ; Janssen, T ; Kello, T ; Lelek, A ; Sfar, H.R ; Van Mechelen, P ; Van Putte, S ; Van Remortel, N ; Bols, E.S ; D’Hondt, J ; De Moor, A ; Delcourt, M ; El Faham, H ; Lowette, S ; Moortgat, S ; Morton, A ; Müller, D ; Sahasransu, A.R ; Tavernier, S ; Van Doninck, W ; Vannerom, D ; Beghin, D ; Bilin, B ; Clerbaux, B ; De Lentdecker, G ; Favart, L ; Kalsi, A.K ; Lee, K ; Mahdavikhorrami, M ; Makarenko, I ; Paredes, S ; Pétré, L ; Popov, A ; Postiau, N ; Starling, E ; Thomas, L ; Bemden, M.V ; Vander Velde, C ; Vanlaer, P ; Cornelis, T ; Dobur, D ; Knolle, J ; Lambrecht, L ; Mestdach, G ; Niedziela, M ; Rendón, C ; Roskas, C ; Samalan, A ; Skovpen, K ; Tytgat, M ; Van Den Bossche, N ; Vermassen, B ; Wezenbeek, L ; Benecke, A ; Bethani, A ; Bruno, G ; Bury, F ; Caputo, C ; David, P ; Delaere, C ; Donertas, I.S ; Giammanco, A ; Jaffel, K ; Jain, S ; Lemaitre, V ; Mondal, K ; Prisciandaro, J ; Taliercio, A ; Teklishyn, M ; Tran, T.T ; Vischia, P ; Wertz, S ; Alves, G.A ; Hensel, C ; Moraes, A ; Teles, P.R ; Júnior, W.L.A ; Pereira, M.A.G ; Filho, M.B.F ; Malbouisson, H.B ; Carvalho, W ; Chinellato, J ; Da Costa, E.M ; Da Silveira, G.G ; De Jesus Damiao, D ; Sousa, V.D.S ; De Souza, S.F ; Herrera, C.M ; Amarilo, K.M ; Mundim, L ; Nogima, H ; Santoro, A ; Do Amaral, S.M.S ; Sznajder, A ; Thiel, M ; De Araujo, F.T.D.S ; Pereira, A.V ; Bernardes, C.A ; Calligaris, L ; Tomei, T.R.F.P ; Gregores, E.M ; Lemos, D.S ; Mercadante, P.G ; Novaes, S.F ; Padula, S.S ; Aleksandrov, A ; Antchev, G ; Hadjiiska, R ; Iaydjiev, P ; Misheva, M ; Rodozov, M ; Shopova, M ; Sultanov, G ; Dimitrov, A ; Ivanov, T ; Litov, L ; Pavlov, B ; Petkov, P ; Petrov, A ; Cheng, T ; Javaid, T ; Mittal, M ; Wang, H ; Yuan, L ; Ahmad, M ; Bauer, G ; Dozen, C ; Hu, Z ; Martins, J ; Wang, Y ; Yi, K ; Chapon, E ; Chen, G.M ; Chen, H.S ; Chen, M ; Iemmi, F ; Kapoor, A ; Leggat, D ; Liao, H ; Liu, Z.-A ; Milosevic, V ; Monti, F ; Sharma, R ; Tao, J ; Thomas-Wilsker, J ; Wang, J ; Zhang, H ; Zhao, J ; Agapitos, A ; An, Y ; Ban, Y ; Chen, C ; Levin, A ; Li, Q ; Lyu, X ; Mao, Y ; Qian, S.J ; Wang, D ; Xiao, J ; Yang, H ; Lu, M ; You, Z ; Gao, X ; Okawa, H ; Zhang, Y ; Lin, Z ; Xiao, M ; Avila, C ; Cabrera, A ; Florez, C ; Fraga, J ; Guisao, J.M ; Ramirez, F ; Alvarez, J.D.R ; Giljanovic, D ; Godinovic, N ; Lelas, D ; Puljak, I ; Antunovic, Z ; Kovac, M ; Sculac, T ; Brigljevic, V ; Ferencek, D ; Majumder, D ; Roguljic, M ; Starodumov, A ; Susa, T ; Attikis, A ; Christoforou, K ; Kole, G ; Kolosova, M ; Konstantinou, S ; Mousa, J ; Nicolaou, C ; Ptochos, F ; Razis, P.A ; Rykaczewski, H ; Saka, H ; Finger, M ; Finger, M., Jr ; Kveton, A ; Ayala, E ; Jarrin, E.C ; Abdalla, H ; Salama, E ; Mahmoud, M.A ; Mohammed, Y ; Bhowmik, S ; Dewanjee, R.K ; Ehataht, K ; Kadastik, M ; Nandan, S ; Nielsen, C ; Pata, J ; Raidal, M ; Tani, L ; Veelken, C ; Eerola, P ; Kirschenmann, H ; Osterberg, K ; Voutilainen, M ; Bharthuar, S ; Brücken, E ; Garcia, F ; Havukainen, J ; Kim, M.S ; Kinnunen, R ; Lampén, T ; Lassila-Perini, K ; Lehti, S ; Lindén, T ; Lotti, M ; Martikainen, L ; Myllymäki, M ; Ott, J ; Rantanen, M.M ; Siikonen, H ; Tuominen, E ; Tuominiemi, J ; Luukka, P ; Petrow, H ; Tuuva, T ; Amendola, C ; Besancon, M ; Couderc, F ; Dejardin, M ; Denegri, D ; Faure, J.L ; Ferri, F ; Ganjour, S ; Gras, P ; de Monchenault, G.H ; Jarry, P ; Lenzi, B ; Malcles, J ; Rander, J ; Rosowsky, A ; Sahin, M.Ö ; Savoy-Navarro, A ; Simkina, P ; Titov, M ; Yu, G.B ; Ahuja, S ; Beaudette, F ; Bonanomi, M ; Perraguin, A.B ; Busson, P ; Cappati, A ; Charlot, C ; Davignon, O ; Diab, B ; Falmagne, G ; Alves, B.A.F.S ; Ghosh, S ; de Cassagnac, R.G ; Hakimi, A ; Kucher, I ; Motta, J ; Nguyen, M ; Ochando, C ; Paganini, P ; Rembser, J ; Salerno, R ; Sarkar, U ; Sauvan, J.B ; Sirois, Y ; Tarabini, A ; Zabi, A ; Zghiche, A ; Agram, J.-L ; Andrea, J ; Apparu, D ; Bloch, D ; Bourgatte, G ; Brom, J.-M ; Chabert, E.C ; Collard, C ; Darej, D ; Fontaine, J.-C ; Goerlach, U ; Grimault, C ; Le Bihan, A.-C ; Nibigira, E ; Van Hove, P ; Asilar, E ; Beauceron, S ; Bernet, C ; Boudoul, G ; Camen, C ; Carle, A ; Chanon, N ; Contardo, D ; Depasse, P ; El Mamouni, H ; Fay, J ; Gascon, S ; Gouzevitch, M ; Ille, B ; Laktineh, I.B ; Lattaud, H ; Lesauvage, A ; Lethuillier, M ; Mirabito, L ; Perries, S ; Shchablo, K ; Sordini, V ; Touquet, G ; Vander Donckt, M ; Viret, S ; Lomidze, I ; Toriashvili, T ; Tsamalaidze, Z ; Botta, V ; Feld, L ; Klein, K ; Lipinski, M ; Meuser, D ; Pauls, A ; Röwert, N ; Schulz, J ; Teroerde, M ; Dodonova, A ; Eliseev, D ; Erdmann, M ; Fackeldey, P ; Fischer, B ; Hebbeker, T ; Hoepfner, K ; Ivone, F ; Mastrolorenzo, L ; Merschmeyer, M ; Meyer, A ; Mocellin, G ; Mondal, S ; Mukherjee, S ; Noll, D ; Novak, A ; Pozdnyakov, A ; Rath, Y ; Reithler, H ; Schmidt, A ; Schuler, S.C ; Sharma, A ; Vigilante, L ; Wiedenbeck, S ; Zaleski, S ; Dziwok, C ; Flügge, G ; Ahmad, W.H ; Hlushchenko, O ; Kress, T ; Nowack, A ; Pooth, O ; Roy, D ; Sharif University of Technology
    Nature Research  2022
    Since the discovery of the Higgs boson in 2012, detailed studies of its properties have been ongoing. Besides its mass, its width—related to its lifetime—is an important parameter. One way to determine this quantity is to measure its off-shell production, where the Higgs boson mass is far away from its nominal value, and relating it to its on-shell production, where the mass is close to the nominal value. Here we report evidence for such off-shell contributions to the production cross-section of two Z bosons with data from the CMS experiment at the CERN Large Hadron Collider. We constrain the total rate of the off-shell Higgs boson contribution beyond the Z boson pair production threshold,... 

    Successive cytotoxicity control by evolutionary surface decorated electronic push-pull green ZnCr-LDH nanostructures: Drug delivery enlargement for targeted breast cancer chemotherapy

    , Article OpenNano ; Volume 8 , 2022 ; 23529520 (ISSN) Kiani, M ; Bagherzadeh, M ; Fatahi, Y ; Daneshgar, H ; Safarkhani, M ; Salehi, G ; Makvandi, P ; Saeb, M. R ; Lima, E. C ; Rabiee, N ; Sharif University of Technology
    Elsevier Inc  2022
    The reason for the increasing bioavailability and biocompatibility of the porous nanomaterials in the presence of different (bio)molecules is still unknown. The role of difference functional groups and their interactions with the potential bioavailability and biocompatibility is of great importance. To investigate the potential contribution of the electronic effects (especially on the surface of the porous nanomaterials) on their biomedical behavior, a series of surface-decorated green ZnCr-layered double hydroxide (LDH) porous nanocarriers is developed as a non-viral vector. Different conjugations investigated these porous LDHs for optimizing and minimizing the cytotoxicity for targeted... 

    Using high-resolution climate models to identify climate change hotspots in the middle east: A case study of iran

    , Article Climate ; Volume 10, Issue 11 , 2022 ; 22251154 (ISSN) Sotoudeheian, S ; Jalilvand, E ; Kermanshah, A ; Sharif University of Technology
    MDPI  2022
    The adverse effects of climate change will impact all regions around the world, especially Middle Eastern countries, which have prioritized economic growth over environmental protection. However, these impacts are not evenly distributed spatially, and some locations, namely climate change hotspots, will suffer more from climate change consequences. In this study, we identified climate change hotspots over Iran—a developing country in the Middle East that is facing dire economic situations—in order to suggest pragmatic solutions for vulnerable regions. We used a statistical index as a representative of the differences in climatic parameters for the RCP8.5 and RCP4.5 forcing pathways between... 

    CaZnO-based nanoghosts for the detection of ssDNA, pCRISPR and recombinant SARS-CoV-2 spike antigen and targeted delivery of doxorubicin

    , Article Chemosphere ; Volume 306 , 2022 ; 00456535 (ISSN) Rabiee, N ; Akhavan, O ; Fatahi, Y ; Ghadiri, A. M ; Kiani, M ; Makvandi, P ; Rabiee, M ; Nicknam, M. H ; Saeb, M. R ; Varma, R. S ; Ashrafizadeh, M ; Nazarzadeh Zare, E ; Sharifi, E ; Lima, E. C ; Sharif University of Technology
    Elsevier Ltd  2022
    Overexpression of proteins/antigens and other gene-related sequences in the bodies could lead to significant mutations and refractory diseases. Detection and identification of assorted trace concentrations of such proteins/antigens and/or gene-related sequences remain challenging, affecting different pathogens and making viruses stronger. Correspondingly, coronavirus (SARS-CoV-2) mutations/alterations and spread could lead to overexpression of ssDNA and the related antigens in the population and brisk activity in gene-editing technologies in the treatment/detection may lead to the presence of pCRISPR in the blood. Therefore, the detection and evaluation of their trace concentrations are of... 

    A fine-grained data set and analysis of tangling in bug fixing commits

    , Article Empirical Software Engineering ; Volume 27, Issue 6 , 2022 ; 13823256 (ISSN) Herbold, S ; Trautsch, A ; Ledel, B ; Aghamohammadi, A ; Ghaleb, T. A ; Chahal, K. K ; Bossenmaier, T ; Nagaria, B ; Makedonski, P ; Ahmadabadi, M. N ; Szabados, K ; Spieker, H ; Madeja, M ; Hoy, N ; Lenarduzzi, V ; Wang, S ; Rodríguez-Pérez, G ; Colomo-Palacios, R ; Verdecchia, R ; Singh, P ; Qin, Y ; Chakroborti, D ; Davis, W ; Walunj, V ; Wu, H ; Marcilio, D ; Alam, O ; Aldaeej, A ; Amit, I ; Turhan, B ; Eismann, S ; Wickert, A. K ; Malavolta, I ; Sulír, M ; Fard, F ; Henley, A. Z ; Kourtzanidis, S ; Tuzun, E ; Treude, C ; Shamasbi, S. M ; Pashchenko, I ; Wyrich, M ; Davis, J ; Serebrenik, A ; Albrecht, E ; Aktas, E. U ; Strüber, D ; Erbel, J ; Sharif University of Technology
    Springer  2022
    Context: Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only bugs, but also other concerns irrelevant for the study of bugs. Objective: We want to improve our understanding of the prevalence of tangling and the types of changes that are tangled within bug fixing commits. Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits. Each line is labeled by four participants. If at least three participants agree on the same label, we have consensus. Results: We estimate that between 17% and... 

    Development of injectable hydrogels based on human amniotic membrane and polyethyleneglycol-modified nanosilicates for tissue engineering applications

    , Article European Polymer Journal ; Volume 179 , 2022 ; 00143057 (ISSN) Kafili, G ; Tamjid, E ; Niknejad, H ; Simchi, A ; Sharif University of Technology
    Elsevier Ltd  2022
    Recently, decellularized amniotic membrane-derived hydrogels (DAMHs) have received significant attention for wound care, ocular surface reconstruction, and chondral healing. Despite the advantages of DAMHs for tissue engineering (TE), the loss of structural components during the decellularization process mitigates their mechanical strength and thus limits their practical application. Herein, we present a method for the surface modification of two-dimensional nanosilicates (laponite) as a rheological modifier to tailor the properties of DAMHs. Results show that after introducing nanosilicates, severe aggregation of the nanoparticles occurs, owing to the shielding effect of ions on the surface... 

    Automatic mesoscopic fracture modelling of concrete based on enriched SBFEM space and quad-tree mesh

    , Article Construction and Building Materials ; Volume 350 , 2022 ; 09500618 (ISSN) Jiang, S ; Sun, L ; Ooi, E. T ; Ghaemian, M ; Du, C ; Sharif University of Technology
    Elsevier Ltd  2022
    A novel approach for mesoscale modelling of concrete composites is proposed by combining enriched scaled boundary finite element methods with quad-tree mesh. The concrete meso-structures are comprised of randomly distributed aggregates, mortar matrix, and interface transition zone. An improved random aggregate generation technique is developed to construct digital images of mesoscale concrete models. Based on the quadtree decomposition algorithm, meshes can be generated automatically from the digital images of concrete mesostructure. The whole mesh generation process is highly efficient without any artificial interference and eliminates the issue of hanging nodes faced by standard finite... 

    TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks

    , Article IEEE/ACM Transactions on Computational Biology and Bioinformatics ; Volume 19, Issue 6 , 2022 , Pages 3744-3753 ; 15455963 (ISSN) Nourani, E ; Asgari, E ; McHardy, A. C ; Mofrad, M. R. K ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Pretrained representations have recently gained attention in various machine learning applications. Nonetheless, the high computational costs associated with training these models have motivated alternative approaches for representation learning. Herein we introduce TripletProt, a new approach for protein representation learning based on the Siamese neural networks. Representation learning of biological entities which capture essential features can alleviate many of the challenges associated with supervised learning in bioinformatics. The most important distinction of our proposed method is relying on the protein-protein interaction (PPI) network. The computational cost of the generated... 

    Effect of Zn content and processing route on the microstructure, mechanical properties, and bio-degradation of Mg-Zn alloys

    , Article Journal of Materials Research and Technology ; Volume 21 , 2022 , Pages 4473-4489 ; 22387854 (ISSN) Asadollahi, M ; Gerashi, E ; Alizadeh, R ; Mahmudi, R ; Sharif University of Technology
    Elsevier Editora Ltda  2022
    The effects of zinc content (2 and 4 wt%), heat treatment (solution-Treated and T6), as well as hot deformation (extrusion and multi-directional forging (MDF)) on the microstructure, mechanical and degradation behavior of Mg-Zn alloys were studied. As the result of microstructure refinement, solid solution and precipitate strengthening (formation of MgZn second phases), the strength of pure Mg was increased after Zn addition. Solution treatment of the Mg-4Zn alloy resulted in 16% softening due to the dissolution of the MgZn second phases and also grain growth, while aging treatment increased the strength value by 8% in comparison to the as-cast material because of the formation of the fine... 

    Adsorption dynamics of surface-modified silica nanoparticles at solid-liquid interfaces

    , Article Langmuir ; Volume 38, Issue 41 , 2022 , Pages 12421-12431 ; 07437463 (ISSN) Khazaei, M. A ; Bastani, D ; Mohammadi, A ; Kordzadeh, A ; Sharif University of Technology
    American Chemical Society  2022
    Understanding the adsorption dynamics of nanoparticles at solid-liquid interfaces is of paramount importance to engineer nanoparticles for a variety of applications. The nanoparticle surface chemistry is significant for controlling the adsorption dynamics. This study aimed to experimentally examine the adsorption of surface-modified round-shaped silica nanoparticles (with an average diameter of 12 nm), grafted with hydrophobic (propyl chains) and/or hydrophilic (polyethylene glycol chains) agents, at an aqueous solution-silica interface with spherical soda-lime glass beads (diameter of 3 mm) being used as adsorbents. While no measurable adsorption was observed for solely hydrophobic or... 

    Radiopaque crystalline, non-crystalline and nanostructured bioceramics

    , Article Materials ; Volume 15, Issue 21 , 2022 ; 19961944 (ISSN) Montazerian, M ; Gonçalves, G. V. S ; Barreto, M. E. V ; Lima, E. P. N ; Cerqueira, G. R. C ; Sousa, J. A ; Malek Khachatourian, A ; Souza, M. K. S ; Silva, S. M. L ; Fook, M. V. L ; Baino, F ; Sharif University of Technology
    MDPI  2022
    Radiopacity is sometimes an essential characteristic of biomaterials that can help clinicians perform follow-ups during pre- and post-interventional radiological imaging. Due to their chemical composition and structure, most bioceramics are inherently radiopaque but can still be doped/mixed with radiopacifiers to increase their visualization during or after medical procedures. The radiopacifiers are frequently heavy elements of the periodic table, such as Bi, Zr, Sr, Ba, Ta, Zn, Y, etc., or their relevant compounds that can confer enhanced radiopacity. Radiopaque bioceramics are also intriguing additives for biopolymers and hybrids, which are extensively researched and developed nowadays for... 

    A review on computer-aided chemogenomics and drug repositioning for rational COVID-19 drug discovery

    , Article Chemical Biology and Drug Design ; Volume 100, Issue 5 , 2022 , Pages 699-721 ; 17470277 (ISSN) Maghsoudi, S ; Taghavi Shahraki, B ; Rameh, F ; Nazarabi, M ; Fatahi, Y ; Akhavan, O ; Rabiee, M ; Mostafavi, E ; Lima, E. C ; Saeb, M. R ; Rabiee, N ; Sharif University of Technology
    John Wiley and Sons Inc  2022
    Application of materials capable of energy harvesting to increase the efficiency and environmental adaptability is sometimes reflected in the ability of discovery of some traces in an environment―either experimentally or computationally―to enlarge practical application window. The emergence of computational methods, particularly computer-aided drug discovery (CADD), provides ample opportunities for the rapid discovery and development of unprecedented drugs. The expensive and time-consuming process of traditional drug discovery is no longer feasible, for nowadays the identification of potential drug candidates is much easier for therapeutic targets through elaborate in silico approaches,... 

    Adsorption properties of halloysite modified acrylamide/quince seeds-based hydrogel: Experimental and DFT investigation

    , Article Journal of Polymers and the Environment ; Volume 30, Issue 11 , 2022 , Pages 4637-4650 ; 15662543 (ISSN) Abdollahizad, G ; Mirzaee Valadi, F ; Akbarzadeh, E ; Gholami, M. R ; Sharif University of Technology
    Springer  2022
    In this work Halloysite nanotubes were used to synthesis a series of modified acrylamide/Quince seeds-based hydrogels (Poly (AAm-co-QS)/Haln). The as-prepared Poly (AAm-co-QS)/Haln hydrogels displayed improved performance as adsorbent in elimination of methylene blue (MB) from aqueous solution. The structures of the prepared Poly (AAm-co-QS)/Haln hydrogels were identified by XRD, FT-IR, FE-SEM, BET, TGA and EDX. Effect of pH value on the swelling behavior and dye adsorption performance of as-prepared hydrogels was explored. The adsorption MB results suggested that the adsorption kinetics fitted the pseudo-second-order model. The adsorption experiments at various pH condition indicated that... 

    Self-powered ultraviolet/visible photodetector based on graphene-oxide via triboelectric nanogenerators performing by finger tapping

    , Article Nanotechnology ; Volume 33, Issue 47 , 2022 ; 09574484 (ISSN) Ejehi, F ; Shooshtari, L ; Mohammadpour, R ; Asadian, E ; Sasanpour, P ; Sharif University of Technology
    Institute of Physics  2022
    Self-sufficient power sources provide a promising application of abundant electronic devices utilized in detection of ambient properties. Recently, triboelectric nanogenerators (TENGs) have been widely investigated to broaden the self-powered systems by converting the ambient mechanical agitations into electrical voltage and current. Graphene oxide (GO), not only for sensing applications but also as a brilliant energy-related nanomaterial, provides a wide range of controllable bandgap energies, as well as facile synthesis route. In this study, GO-based self-powered photodetectors have been fabricated by conflating the photosensitivity and triboelectric characteristics of freestanding GO... 

    A constrained multi-item EOQ inventory model for reusable items: Reinforcement learning-based differential evolution and particle swarm optimization

    , Article Expert Systems with Applications ; Volume 207 , 2022 ; 09574174 (ISSN) Fallahi, A ; Amani Bani, E ; Akhavan Niaki, S. T ; Sharif University of Technology
    Elsevier Ltd  2022
    The growing environmental concerns, governmental regulations, and significant cost savings are the primary motivations for companies to consider the reuse and recovery of products in their inventory system. The previous research ignored several realistic features of reusable items inventory systems, such as the presence of multiple products and operational constraints. For the first time, this paper presents a new multiproduct economic order quantity inventory model for an inventory system of reusable products. The goal of the model is to determine the optimal replenishment quantity and reuse quantity of each item so that the system's total cost is minimized. Several operational constraints...