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Recent development of Au arched Pt nanomaterials as promising electrocatalysts for methanol oxidation reaction

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Nano Research 2022年第1期15卷 18-37页

作者： Wenhua Lou asad ali Pei Kang Shen Collaborative Innovation Center of Sustainable Energy Materials Guangxi Key Laboratory of Electrochemical Energy MaterialsGuangxi UniversityNanning 530004China School of Physical Science and Technology Guangxi UniversityNanning 530004China School of Chemistry&Chemical Engineering Guangxi UniversityNanning 530004China

The recent development of Aurum(Au)introduced Platinum(Pt)based nanomaterials is of great significance to direct methanol fuel cell as electrocatalysts for anode reactions,due to its stability and anti-poisoning ***,the performance of PtAu based catalysts with different elements,atomic ratio,and morphology was studied in methanol solution to further improve its electrocatalytic ***,the effects of Au have aroused the researchers'attention in Pt-based *** this review,we summarize the controllable synthesis,mechanism,and catalytic performance of Au introduced Pt-based electrocatalysts such as PtAu core-shell nanostructures,PtAu dendrite,PtAu nanowires,self-supporting Au@Pt NPs,and Au@Pt star-like nanocrystals for the methanol oxidation ***,the challenges and research directions for the future development of PtAu based catalysts are provided.

关键词： methanol oxidation reaction(MOR) direct methanol fuel cell(DMFC) PtAu based catalysts anode catalysts electrocatalysis

Nonprecious metal's graphene-supported electrocatalysts for hydrogen evolution reaction: Fundamentals to applications

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Carbon Energy 2020年第1期2卷 99-121页

作者： asad ali Pei Kang Shen Collaborative Innovation Center of Sustainable Energy Materials Guangxi Key Laboratory of Electrochemical Energy MaterialsGuangxi UniversityNanningChina State Key Laboratory of Processing for Non-ferrous Metal and Featured Materials Guangxi UniversityNanningChina

Sustainable production of hydrogen is a hopeful requirement of a strategic future economy and *** splitting driven by electricity is a favorable pathway for renewable hydrogen *** critical review highlighted recent efforts toward the development of the nanoscale synthesis of nonprecious metal's graphene-supported electrocatalysts and their electrocatalytic features for remarkable hydrogen evolution reaction(HER).Different essential nonprecious metal's graphene-supported electrocatalysts,including metal carbides,sulfides,phosphides,selenides,oxides,and nitrides are *** the exploration,attention is given to the strategies of activity enhancement,the synthetic approach,and the composition/structure electrocatalytic-performance relationship of these HER *** are hopeful that this review confers a new momentum to the rational design of remarkable performance nonprecious metal's graphenesupported electrocatalysts and comprehensive guide for researchers to utilize the subject catalysts in regular water splitting.

关键词： graphene hydrogen evolution reaction nonprecious metal electrocatalysts water splitting

Innovative Strategies for Overall Water Splitting Using Nanostructured Transition Metal Electrocatalysts

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Electrochemical Energy Reviews 2022年第4期5卷 286-315页

作者： asad ali Fei Long Pei Kang Shen Collaborative Innovation Center of Sustainable Energy Materials Guangxi Key Laboratory of Electrochemical Energy MaterialsState Key Laboratory of Processing for Non-Ferrous Metal and Featured MaterialsGuangxi UniversityNanning 530004PR China Guilin University of Technology Guilin 541004China

Electrochemical water splitting is regarded as the most auspicious technology for renewable sources,transport,and storage of hydrogen ***,noble Pt metal and noble-metal oxides(IrO_(2)and RuO_(2))are recognized as state-of-the-art electrocatalysts for both the hydrogen evolution reaction(HER)and oxygen evolution reaction(OER),*** for earth-abundant electrocatalysts for the HER and OER with remarkable performance and high stability to replace precious metals plays a significant role in the commercial application of electrochemical water *** this review,recent advancements in nanostructured transition metal electrocatalysts are assessed through the selected examples of nitrides,carbides,phosphides,sulfides,borides,layered double hydroxides,and *** breakthroughs in nanostructured transition metal electrocatalysts are discussed in terms of their mechanisms,controllable production,structural design,and innovative strategies for boosting their *** instance,most nanostructured transition metal electrocatalysts for overall water splitting(OWS)only function well in neutral and alkaline ***,current research challenges and future perspectives for increasing the performance of nanostructured transition metals for OWS are proposed.

关键词： Hydrogen evolution reaction(HER) Oxygen evolution reaction(OER) Overall water splitting(OWS) Transition metal electrocatalyst Innovative strategies Basic electrochemistry

A mathematical model for open pit mine production scheduling with Grade Engineering and stockpiling

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International Journal of Mining Science and Technology 2021年第4期31卷 717-728页

作者： Karo Fathollahzadeh Elham Mardaneh Mehmet Cigla Mohammad Waqar ali asad Western Australian School of Mines:Minerals Energy and Chemical EngineeringCurtin UniversityKalgoorlie 6430Australia School of Electrical Engineering Computing and Mathematical SciencesCurtin UniversityPerth 6845Australia

This paper presents the development and implementation of an innovative mixed integer programming based mathematical model for an open pit mining operation with Grade Engineering *** Engineering comprises a range of coarse-separation based pre-processing techniques that separate the desirable(***-grade)and undesirable(***-grade or uneconomic)materials and ensure the delivery of only selected quantity of high quality(or high-grade)material to energy,water,and cost-intensive processing *** model maximizes the net present value under a range of operational and processing *** that the proposed model is computationally complex,the authors employ a data preprocessing procedure and then evaluate the performance of the model at several practical instances using computation time,optimality gap,and the net present value as valid *** addition,a comparison of the proposed and traditional(without Grade Engineering)models reflects that the proposed model outperforms the traditional formulation.

关键词： Mine planning Grade Engineering Optimization Scheduling Stockpiling Exact methods

End-to-End 2D Convolutional Neural Network Architecture for Lung Nodule Identification and Abnormal Detection in Cloud

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Computers, Materials & Continua 2023年第4期75卷 461-475页

作者： Safdar ali Saad asad Zeeshan Asghar Atif ali Dohyeun Kim Department of Software Engineering the University of LahoreDefence Road CampusLahore55150Pakistan Department of Computer Engineering Jeju National UniversityAra CampusJeju City63243Korea

The extent of the peril associated with cancer can be perceivedfrom the lack of treatment, ineffective early diagnosis techniques, and mostimportantly its fatality rate. Globally, cancer is the second leading cause ofdeath and among over a hundred types of cancer;lung cancer is the secondmost common type of cancer as well as the leading cause of cancer-relateddeaths. Anyhow, an accurate lung cancer diagnosis in a timely manner canelevate the likelihood of survival by a noticeable margin and medical imagingis a prevalent manner of cancer diagnosis since it is easily accessible to peoplearound the globe. Nonetheless, this is not eminently efficacious consideringhuman inspection of medical images can yield a high false positive rate. Ineffectiveand inefficient diagnosis is a crucial reason for such a high mortalityrate for this malady. However, the conspicuous advancements in deep learningand artificial intelligence have stimulated the development of exceedinglyprecise diagnosis systems. The development and performance of these systemsrely prominently on the data that is used to train these systems. A standardproblem witnessed in publicly available medical image datasets is the severeimbalance of data between different classes. This grave imbalance of data canmake a deep learning model biased towards the dominant class and unableto generalize. This study aims to present an end-to-end convolutional neuralnetwork that can accurately differentiate lung nodules from non-nodules andreduce the false positive rate to a bare minimum. To tackle the problem ofdata imbalance, we oversampled the data by transforming available images inthe minority class. The average false positive rate in the proposed method isa mere 1.5 percent. However, the average false negative rate is 31.76 *** proposed neural network has 68.66 percent sensitivity and 98.42 percentspecificity.

关键词： Convolutional neural networks medical image processing lung nodule identification data imbalance deep learning

Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility

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IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1704-1715页

作者： Syed ali asad Rizvi Amanda J.Pertzborn Zongli Lin IEEE the Department of Electrical and Computer Engineering Tennessee Technological UniversityCookevilleTN 38505 USA the Mechanical Systems and Controls Group in the Building Energy and Environment Division at the National Institute of Standards and Technology(NIST) GaithersburgMD 20899 USA the Charles L.Brown Department of Electrical and Computer Engineering University of VirginiaCharlottesvilleVA 22904-4743 USA

We present the development of a bias compensating reinforcement learning(RL)algorithm that optimizes thermal comfort(by minimizing tracking error)and control utilization(by penalizing setpoint deviations)in a multi-zone heating,ventilation,and air-conditioning(HVAC)lab facility subject to unmeasurable disturbances and unknown *** is shown that the presence of unmeasurable disturbance results in an inconsistent learning equation in traditional RL controllers leading to parameter estimation bias(even with integral action support),and in the extreme case,the divergence of the learning *** demonstrate this issue by applying the popular Q-learning algorithm to linear quadratic regulation(LQR)of a multi-zone HVAC environment and showing that,even with integral support,the algorithm exhibits bias issue during the learning phase when the HVAC disturbance is unmeasurable due to unknown heat gains,occupancy variations,light sources,and outside weather *** address this difficulty,we present a bias compensating learning equation that learns a lumped bias term as a result of disturbances(and possibly other sources)in conjunction with the optimal control *** results show that the proposed scheme not only recovers the bias-free optimal control parameters but it does so without explicitly learning the dynamic model or estimating the disturbances,demonstrating the effectiveness of the algorithm in addressing the above challenges.

关键词： HVAC control optimal tracking Q-learning reinforcement learning(RL)

Phase analysis of AlFe2B2 by synchrotron X-ray diffraction,magnetic and M?ssbauer studies

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Progress in Natural Science:Materials International 2017年第2期27卷 251-256页

作者： Tahir ali M.N.Khan E.Ahmed asad ali Physics Division Pakistan Institute of Nuclear Science and technology Department of Physics Abdul Wali Khan University PINSAT Preston University

The structural and magnetic properties of essentially phase pure AlFe2B2prepared by arc melting were compared with a sample containing impurities. Analysis was carried out by means of synchrotron X-ray diffraction, magnetic measurements and M?ssbauer spectroscopy. The analysis of synchrotron X-ray diffraction data confirmed the orthorhombic structure of space group Cmmm for AlFe2B2with Al13Fe4as main impurity phase. The magnetic measurements revealed an unsaturated ferromagnetic state in AlFe2B2with a transition temperature（Tc） of 286 K. Isothermal magnetization measurment at 5 K gave a saturation magnetization of 0.7 μB per Fe atom while Arrott plots establish the second order nature of ferromagnetic transition. The thermal evolution of M?ssbauer spectra confirmed the ferromagnetic nature of this material revealing an hyperfine field of 73 kOe and an isomer shift of 0.46 mm/s at 100 K. The M?ssbauer spectra of a phase pure sample was compared with the one containing impurity phases. It is suggested that the low temperature paramagnetic contribution in M?ssbauer spectra of phase pure material may have its origin in some intrinsic phenomena arising from defects or inhomogeneities in crystal structure.

关键词： AlFe2B2 Synchrotron X-ray diffraction Ferromagnetism Mossbauer effect spectroscopy

Quick screening and easy detection method of NDM-gene in clinical isolates:A need of the time

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Asian Pacific Journal of Tropical Medicine 2012年第10期5卷 839-840页

作者： asad U Khan Saeedut Z ali Interdisciplinary Biotechnology Unit Aligarh Muslim University

The emerging trend of multidrug resistance is becoming a major threat to community acquired and nosocomial infections,worldwide[1].The carbapenems are used as last-source drugs because of increasing resistance against... 详细信息

关键词： screening lactam nosocomial antibiotics isolates threat becoming emerging resist DNA

Removal of Heavy Metals from Wastewater by Using the Moringa Oleifera Press Cake

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Removal of Heavy Metals from Wastewater by Using the Moringa...

作者： ali asad 西南科技大学

学位级别：硕士

曾经地球上的水非常的丰富,湖里的水清澈见底,河里的鱼儿种类丰富自由自在,这样的水可以供人们直接饮用也不会受到危害。但是,随着人口的增长和工业的发展,水质因为人类的开发利用而下降。废水污染的主要来源有两个:工业废水和城市生活... 详细信息

曾经地球上的水非常的丰富,湖里的水清澈见底,河里的鱼儿种类丰富自由自在,这样的水可以供人们直接饮用也不会受到危害。但是,随着人口的增长和工业的发展,水质因为人类的开发利用而下降。废水污染的主要来源有两个:工业废水和城市生活污水。工业废水包括污水排放和工业用水,例如采矿和制造业会产生大量废水,它们产生的大量废水排放到附近的河流,对珍贵的水资源造成污染。本次实验通过研究成熟辣木种子和干辣木种子中提取的辣木粉对水质的影响。辣木籽是一种廉价的局部混凝剂,本试验收集的废水在中国四川绵阳的西南科技大学校园内取得。分别制备了不同浓度2mg/L,4mg/L和6mg/L的镉和铬溶液作为校准曲线。加入一滴硝酸来还原溶液;在经过MOPC处理后,重金属浓度大幅度降低。铬和镉(2 mg/L)的去除率分别为92.85%和89.84%,铬和镉(4 mg/L)的去除率分别为82.30%和81.23%,铬和镉(6 mg/L)的去除率分别为81.53%和79.52%。废水的浑浊度为47.7 NTU,在MOPC溶液中加入MOPC后,其浑浊度降至最低9.7 NTU,最优值为20000 ppm。浊度显著增加了毛胚蛋白c的浓度,从而改变了残余浊度。浊度去除率最高为79.6%。经不同浓度的MOPC处理后,p H值在8.13.13之间波动,差异无统计学意义。当最佳浓度为15000ppm时,废水COD从236.3mg/L降至98.03 mg/L,随着MOPC溶液浓度的增加,COD值略有增加。最大COD去除率为58.51%。辣木籽饼是一种有效的重金属去除剂天然混凝剂,具有降低水中p H、浊度、EC等理化污染物的能力,是一种廉价的处理污水的材料。人们想要得到更多的安全饮用水,就可以通过这种方式来处理水,使废水得到净化,除了其它多种处理废水的方法之外,用辣木籽饼也是一种很好的处理水的方法。

关键词：辣木废水处理重金属浑浊度