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Electrochemical CO_(2) reduction to C_(2+) products using Cu-based electrocatalysts:A review

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Nano Research Energy 2022年第2期1卷 140-181页

作者： Touqeer Ahmad Shuang Liu Muhammad Sajid Ke Li mohsin Ali Liang Liu Wei Chen Department of Applied Chemistry School of Chemistry and Materials ScienceHefei National Research Center for Physical Sciences at the MicroscaleUniversity of Science and Technology of ChinaHefei 230026China Department of Ophthalmology School of MedicineStanford UniversityPalo AltoCA 94304USA

With the disruptive carbon cycle being blamed for global warming,the plausible electrocatalytic CO_(2)reduction reaction(CO_(2)RR)to form valuable C_(2+)hydrocarbons and feedstock is becoming a hot ***-based electrocatalysts have been proven to be excellent CO_(2)RR alternatives for high energy value-added products in this ***,the selectivity of CO_(2)RR to form C_(2+)products via Cu-based catalysts suffers from a high overpotential,slow reaction kinetics,and low *** review attempts to discuss various cutting-edge strategies for understanding catalytic design such as Cu-based catalyst surface engineering,tuning Cu bandgap via alloying,nanocatalysis,and the effect of the electrolyte and pH on catalyst *** most recent advances in in situ spectroscopy and computational techniques are summarized to fully comprehend reaction mechanisms,structural transformation/degradation mechanisms,and crystal facet loss with subsequent effects on catalyst ***,approaches for tuning Cu interactions are discussed from four key perspectives:single-atom catalysts,interfacial engineering,metal-organic frameworks,and polymer-incorporated materials,which provide new insights into the selectivity of C_(2+)***,major challenges are outlined,and potential prospects for the rational design of catalysts for robust CO_(2)RR are *** integration of catalytic design with mechanistic understanding is a step forward in the promising advancement of CO_(2)RR technology for industrial applications.

关键词： electrocatalysis CO_(2)reduction C_(2+)hydrocarbon Cu materials nanostructures

Litchi-derived platinum groupmetal-free electrocatalysts for oxygen reduction reaction and hydrogen evolution reaction in alkalinemedia

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SusMat 2023年第2期3卷 248-262页

作者： Seyed Ariana mirshokraee mohsin Muhyuddin Roberto Lorenzi Giorgio Tseberlidis Carmelo Lo Vecchio Vincenzo Baglio Enrico Berretti Alessandro Lavacchi Carlo Santoro Department of Materials Science University of Milano-BicoccaMilanoItaly Istituto di Tecnologie Avanzate per l’Energia“Nicola Giordano”(ITAE) Consiglio Nazionale delle Ricerche(CNR)Via Salita S.MessinaItaly Istituto di Chimica Dei Composti OrganoMetallici(ICCOM) Consiglio Nazionale Delle Ricerche(CNR)Sesto FiorentinoFirenzeItaly

Within the framework of the circular economy,the waste litchi’s skins were upgraded and transformed into electrocatalysts for oxygen reduction reaction(ORR)and hydrogen evolution reaction(HER).The waste litchi’s skins were pyrolyzed,activated,and then used as carbon support for fabricating metal–nitrogen–carbons(M–N–Cs)which belong to a promising class of platinum group metal-free *** activated char was functionalized with transition metal(Fe,Ni,and Co)-phthalocyanine(Pc)in monometallic and bimetallic fashion by subjecting it to a thermal treatment at 600 and 900◦*** samples functionalized at 900℃ showed higher performance for HER due to the formation of metal nanoparticles,whereas the samples functionalized at 600℃ showed higher performance for ***,sample Ni–Co 900 had an overpotential of−0.38 V for HER,while the sample Fe 600 was the most active electrocatalyst for ORR by demonstrating the onset potential of∼0.9 V(a half-wave potential of∼0.81 V)with the least production of unwanted peroxide anion.

关键词： circular economy hydrogen evolution reaction oxygen reduction reaction PGM-free electrocatalyst

Mass-Casualty Distribution for Emergency Healthcare:A Simulation Analysis

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International Journal of Disaster Risk Science 2020年第3期11卷 364-377页

作者： mohsin Nasir Jat Raza Ali Rafique Edwards School of Business University of SaskatchewanSaskatoonSK S7N5A7Canada School of Management and Marketing Kean UniversityUnionNJ 07083USA

This study focuses on the casualty-load distribution problem that arises when a mass casualty incident(MCI)necessitates the engagement of multiple medical *** discrete event simulations,the study analyzed different MCI response regimes in Lahore,Pakistan,that vary in terms of the level of casualty-load distribution and the required coordination between the incident site and the responding *** terrorist attacks in this major metropolitan area were considered to set up experiments for comparing delays in treatment under the modeled *** analysis highlights that the number of casualties that are allowed to queue up at the nearest hospital before diverting the casualty traffic to an alternate hospital can be an important factor in reducing the overall treatment *** diverting the casualty traffic from the incident site to an alternate hospital can increase the travel time,while a delay in diversion can overload the nearest hospital,which can lead to overall longer waiting times in the *** casualty distribution mechanisms based only on the responding hospitals’available capacity and current load can perform inefficiently because they overlook the trade-off between the times casualties spend in traveling and in queues.

关键词： Casualty distribution Emergency response Mass casualty incidents Pakistan Urban terrorism

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3D CFD validation of invert trap efficiency for sewer solid management using VOF model

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Water Science and Engineering 2016年第2期9卷 106-114页

作者： Mohammad mohsin Deo Raj Kaushal Civil Engineering Department Indian Institute of Technology Delhi

Earlier investigators have numerically carried out performance analysis of the invert trap fitted in an open channel using the stochastic discrete phase model(DPM) by assuming the open channel flow to be closed conduit flow under pressure and assuming zero shear stress at the top *** is known as the fixed lid *** assuming the top wall to be a shear free wall,they have been able to show that the velocity distribution looks similar to that of an open channel flow with zero velocity at the bottom and maximum velocity at the top,representing the free water surface,but no information has been provided for the pressure at the free water *** of this assumption,the validation of the model in predicting the trap efficiency has performed significantly *** addition,the free water surface subject to zero gauge pressure cannot be modeled using the fixed lid model because there is no provision of extra space in the form of air space for the fluctuating part of the water surface *** ***,be modeled using the volume of fluid(VOF) model because the VOF model is the appropriate model for open channel or free surface ***,in the present study,three-dimensional(3D) computational fluid dynamics(CFD) modeling with the VOF model,which considers open channel flow with a free water surface,along with the stochastic *** used to model the trap efficiency of an invert trap fitted in an open rectangular *** governing mathematical flow equations of the VOF model were solved using the ANSYS Fluent 14.0 software,reproducing the experimental conditions *** results show that the 3D CFD predictions using the VOF model closely fit the experimental data for glass bead particles.

关键词： Computational fluid dynamics (CFD) Sediment deposition Trap efficiency Invert trap Volume of fluid (VOF) model

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Combination of mesenchymal stem cells and three-dimensional collagen scaffold preserves ventricular remodeling in rat myocardial infarction model

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World Journal of Stem Cells 2022年第8期14卷 633-657页

作者： Rida-e-Maria Qazi Irfan Khan Kanwal Haneef Tuba Shakil Malick Nadia Naeem Waqas Ahmad Asmat Salim Sadia mohsin Stem Cell Laboratory Dr.Panjwani Center for Molecular Medicine and Drug ResearchICCBSUniversity of KarachiKarachi 75270SindhPakistan Dr.Zafar H.Zaidi Center for Proteomics University of KarachiKarachi 75270SindhPakistan Dow Research Institute of Biotechnology and Biomedical Sciences(DRIBBS) Dow University of Health and SciencesOjha CampusKarachi 74200SindhPakistan Cardiovascular Research Center Lewis Katz School of MedicineTemple UniversityPhiladelphiaPA 19140United States

BACKGROUND Cardiovascular diseases are the major cause of mortality *** of the damaged myocardium remains a challenge due to mechanical constraints and limited healing ability of the adult heart *** tissue engineering using biomaterial scaffolds combined with stem cells and bioactive molecules could be a highly promising approach for cardiac *** of biomaterials can provide suitable microenvironment to the cells and can solve cell engraftment problems associated with cell transplantation *** stem cells(MSCs)are potential candidates in cardiac tissue engineering because of their multilineage differentiation potential and ease of *** of DNA methyl transferase inhibitor,such as zebularine,in combination with three-dimensional(3D)scaffold can promote efficient MSC differentiation into cardiac lineage,as epigenetic modifications play a fundamental role in determining cell fate and lineage specific gene *** To investigate the role of collagen scaffold and zebularine in the differentiation of rat bone marrow(BM)-MSCs and their subsequent in vivo *** MSCs were isolated from rat BM and characterized morphologically,immunophenotypically and by multilineage differentiation *** were seeded in collagen scaffold and treated with 3μmol/L zebularine in three different *** analysis was done and cardiac differentiation was analyzed at the gene and protein *** and untreated MSC-seeded scaffolds were transplanted in the rat myocardial infarction(MI)model and cardiac function was assessed by *** tracking was performed by DiI dye labeling,while regeneration and neovascularization were evaluated by histological and immunohistochemical analysis,*** MSCs were successfully isolated and seeded in collagen *** analysis revealed that zebularine was not cytotoxic in any of the treatment *** differentiation analysis

关键词： Mesenchymal stem cells Myocardial infarction Cardiac tissue engineering Demethylating agent Collagen scaffold Zebularine

Gastrointestinal manifestations,risk factors,and management in patients with post-transplant lymphoproliferative disorder:A systematic review

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World Journal of Transplantation 2022年第8期12卷 268-280页

作者： William Reiche Abubakar Tauseef Ahmed Sabri mohsin mirza David Cantu Peter Silberstein Saurabh Chandan Department of Medicine CHI Creighton University Medical CenterOmahaNE 68124United States Department of Pathology CHI Creighton University Medical CenterOmahaNE 68124United States Division of Hematology and Oncology Department of MedicineCHI Creighton University Medical CenterOmahaNE 68124United States Division of Gastroenterology and Hepatology Department of MedicineCHI Creighton University Medical CenterOmahaNE 68124United States

BACKGROUND Patients with a history of solid organ transplantation(SOT)or hematopoietic stem cell transplantation(HSCT)are at an increased risk of developing post-transplant lymphoproliferative disorder(PTLD).The gastrointestinal(GI)tract is commonly affected as it has an abundance of B and T *** To determine typical GI-manifestations,risk factors for developing PTLD,and *** Major databases were searched until November *** Non-case report studies that described GI manifestations of PTLD,risk factors for developing PTLD,and management of PTLD were *** articles written within the last 20 years were included in the *** articles found that patients with a history of SOT,regardless of transplanted organ,have a propensity to develop *** GI tract manifestations may be nonspecific;therefore,consideration of risk factors is crucial for identifying *** other lymphoma variants,PTLD is very aggressive making early diagnosis key to *** treatment is reduction of immunosuppression which is effective in more than 50%of cases;however,additional therapy including rituximab,chemotherapy,and surgery may also be required.

关键词： Post-transplant lymphoproliferative disorder Gastrointestinal manifestations Reduction of immunosuppression Risk factors Epstein-Barr virus

An Unsupervised Writer Identification Based on Generating Clusterable Embeddings

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Computer Systems Science & Engineering 2023年第8期46卷 2059-2073页

作者： M.F.Mridha Zabir Mohammad Muhammad mohsin Kabir Aklima Akter Lima Sujoy Chandra Das Md Rashedul Islam Yutaka Watanobe Department of Computer Science and Engineering American International University BangladeshDhaka1229Bangladesh Department of Computer Science&Engineering Bangladesh University of Business&TechnologyDhaka1216Bangladesh Department of Computer Science and Engineering University of Asia PacificDhaka1216Bangladesh Department of Computer Science and Engineering University of AizuAizu-Wakamatsu965-8580Japan

The writer identification system identifies individuals based on their handwriting is a frequent topic in biometric authentication and verification *** to its importance,numerous studies have been conducted in various *** have established several learning methods for writer identification including supervised and unsupervised ***,supervised methods require a large amount of annotation data,which is impossible in most *** the other hand,unsupervised writer identification methods may be limited and dependent on feature extraction that cannot provide the proper objectives to the architecture and be *** paper introduces an unsupervised writer identification system that analyzes the data and recognizes the writer based on the inter-feature relations of the data to resolve the uncertainty of the features.A pairwise architecturebased Autoembedder was applied to generate clusterable embeddings for handwritten text ***,the trained baseline architecture generates the embedding of the data image,and the K-means algorithm is used to distinguish the embedding of individual *** proposed model utilized the IAM dataset for the experiment as it is inconsistent with contributions from the authors but is easily accessible for writer identification *** addition,traditional evaluation metrics are used in the proposed ***,the proposed model is compared with a few unsupervised models,and it outperformed the state-of-the-art deep convolutional architectures in recognizing writers based on unlabeled data.

关键词： Writer identification pairwise architecture clusterable embeddings convolutional neural network

Survey and technological analysis of laser and its defense applications

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Defence Technology（防务技术） 2021年第2期17卷 583-592页

作者： Syed Affan Ahmed Mujahid mohsin Syed Muhammad Zubair Ali Department of Avionics Engineering-College of Aeronautical Engineering(CAE) National University of Sciences and Technology(NUST)RisalpurKPKPakistan

The laser technology has made remarkable progress over the past couple of *** is being widely employed in diverse domains,such as holography,space sciences,spectroscopy,medical sciences,micro and power electronics,industrial engineering,and most distinctively,as directed energy military *** to their active transmissions,laser systems are similar to microwave radars to some extent;however,unlike conventional radars,the laser operates at very high frequencies thus making it a potent enabler of narrow-beam and high energy aerial deployments,both in offensive and defensive *** modern avionics systems,laser target indicators and beam riders are the most common devices that are used to direct the Laser Guided Weapons(LGW)accurately to the ground ***,compact size and outstanding angular resolution of laser-based systems motivate their use for drones and unmanned aerial ***,the narrow-beam divergence of laser emissions offers a low probability of intercept,making it a suitable contender for secure transmissions and safety-critical ***,the developments in space sciences and laser technology have given synergistic potential outcomes to use laser systems in space *** paper comprehensively reviews laser applications and projects for strategic defense actions on the ground or in ***,a detailed analysis has been done on recent advancements of the laser technology for target indicators and *** also reviews the advancements in the field of laser communications for surveillance,its earlier state of the art,and ongoing scientific research and advancements in the domain of high energy directed laser weapons that have revolutionized the evolving military *** offering a comprehensive taxonomy,the paper also critically analyzes some of the recent contributions in the associated domains.

关键词： Laser systems Laser military applications Directed energy weapons Non-lethal weapons Laser military projects Survey Taxonomy

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Hybrid Trainable System for Writer Identification of Arabic Handwriting

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Computers, Materials & Continua 2021年第9期68卷 3353-3372页

作者： Saleem Ibraheem Saleem Adnan mohsin Abdulazeez Department of Information Technology Technical Informatics College of AkreDuhok Polytechnic UniversityDuhok42004Iraq

Writer identification(WI)based on handwritten text structures is typically focused on digital characteristics,with letters/strokes representing the information acquired from the current research in the integration of individual writing habits/*** studies have indicated that a word’s attributes contribute to greater recognition than the attributes of a character or *** a result of the complexity of Arabic handwriting,segmenting and separating letters and strokes from a script poses a challenge in addition to WI *** this work,we propose new texture features for WI based on *** histogram of oriented gradient(HOG)features are modified to extract good features on the basis of the histogram of the orientation for different angles of *** fusion of these features with the features of convolutional neural networks(CNNs)results in a good vector of powerful ***,we reduce the features by selecting the best ones using a genetic *** normalization method is used to normalize the features and feed them to an artificial neural network *** results show that the proposed augmenter enhances the results for HOG features and ResNet50,as well as the proposed model,because the amount of data is *** a large data volume helps the system to retrieve extensive information about the nature of writing *** affective result of the proposed model for whole paragraphs,lines,and sub words is obtained using different models and then compared with those of the CNN and *** whole paragraphs produce the best results in all models because they contain rich information and the model can utilize numerous features for different *** HOG and CNN features achieve 94.2%accuracy for whole paragraphs with augmentation,83.2%of accuracy for lines,and 78%accuracy for sub ***,this work provides a system that can identify writers on the basis of their handwriting and builds a powerful model that can help

关键词： Writer identification handwritten Arabic HOG features artificial neural network segmentation CNN features