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Microalgal bioinoculants for sustainable agriculture and their interactions with soil biotic and abiotic components:A review

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Pedosphere 2024年第2期34卷 297-314页

作者： Shisy JOSE Nirmal RENUKA Sachitra Kumar RATHA Sheena KUMARI faizal BUX Institute for Water and Wastewater Technology Durban University of TechnologyP.O.Box 1334Durban 4000South Africa Algal Biotechnology Laboratory Department of BotanyCentral University of PunjabBathinda 151401India Phycology Laboratory Council of Scientific and Industrial Research-National Botanical Research InstituteLucknowUttar Pradesh 226001India

Modern agricultural practices have posed a detrimental impact on the environment due to their intensive use to meet the food demands of an ever-increasing population.In this context,microalgal bioinoculants,specifically cyanobacteria and green microalgae,have emerged as sustainable options for agricultural practices to improve soil organic carbon,nutrient availability,microbial quality,and plant productivity.An overview of current and future perspectives on the use of microalgal bioinoculants in agriculture practices is presented in this review,along with a discussion of their interactions with soil biotic and abiotic factors that affect soil fertility,plant health,and crop productivity.The benefits of microalgal bioinoculants include releasing agronomically important metabolites(exopolymers and phytohormones)as well as solubilizing soil nutrients.Furthermore,they function as biocontrol agents against soil-borne pathogens and facilitate the establishment of rhizosphere communities of agricultural importance.So far,very few studies have explored the basic mechanisms by which microalgal bioinoculants interact with soil biotic and abiotic factors.In recent years,advanced molecular techniques have contributed to a better understanding of these interactions.

关键词： biocontrol agent biofertilizer cyanobacteria microalgae microbial community molecular technique plant growth soil fertility

Blockchain Governance: The Development and Application of a Framework for Waqf Institutions

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现代会计与审计:英文版 2023年第3期19卷 53-72页

作者： Khairil faizal Khairi Nur Hidayah Laili Azuan ahmad Universiti Sains Islam Malaysia NilaiMalaysia

The effectiveness of waqf administration is impeded by poor management of assets,opacity,and unstandardized reporting.Blockchain is expected to solve these issues due to its ability to record and trace every transaction,allowing administrators to discharge their accountability to waqf stakeholders.While there have been numerous proposals for waqf blockchain,there is no explicit framework for the governance of blockchain in waqf institutions.We propose a governance of blockchain framework for waqf institutions based on IT governance dimensions and blockchain governance dimensions from the literature.The framework comprises three dimensions(formation and context,actors,and means of governance/decision making)that subsume eight sub-dimensions across three layers and three stages.We then apply the framework on a blockchain-based waqf organization to examine its usefulness.The framework is among the first to be designed for waqf institutions.

关键词： blockchain governance governance of blockchain framework waqf institutions

M-Theory in the Gaugeon Formalism

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Communications in Theoretical Physics 2012年第4期57卷 637-640页

作者： Mir faizal Department of Mathematics Durham UniversityDurhamDH1 3LEUnited Kingdom

In this paper we will analyse the Aharony-Bergman-Jafferis-Maldacena(ABJM) theory in N = 1 superspace formalism.We then study the quantum gauge transformations for this ABJM theory in gaugeon formalism.We will also analyse the extended BRST symmetry for this ABJM theory in gaugeon formalism and show that these BRST transformations for this theory are nilpotent and this in turn leads to the unitary evolution of the S-matrix.

关键词： ABJM gaugeon BRST N = 1 superspace

The BV Formalization of Chern-Simons Theory on Deformed Superspace

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Communications in Theoretical Physics 2012年第11期58卷 704-710页

作者： Mir faizal Mathematical Institute University of OxfordOxford OX1 3LBEngland

In this paper we will study non-abelian Chern-Simons theory on a deformed superspace. We will deform the superspace in such a way that it includes the noncommutativity between bosonic and fermionic coordinates. We will first analyse the BRST and the anti-BRST symmetries of the Chern-Simons theory on this deformed superspace. Then we will analyse the extended BRST and the extended anti-BRST symmetries of this theory in the Batalin-Vilkovisky (BV) formalism. Finally, we will express these extended BRST and extended anti-BRST symmetries in extended superspace formalism by introducing new Grassmann coordinates.

关键词： noncommutative superspace Batalin-Vilkovisky formalism

CT Brain Image:Abnormalities Recognition and Segmentation

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Journal of Donghua University(English Edition) 2010年第2期27卷 246-249页

作者： TONG Hau-Lee Mohammad faizal ahmad Fauzi Ryoichi Komiya HAW Su-Cheng Faculty of Information Technology Multimedia UniversityJalan Multimedia Faculty of Engineering Multimedia UniversityJalan Multimedia

In order to develop an automated segmentation system for Computed Tomography(CT)brain images,a new approach which consists of several unsupervised segmentation techniques was introduced. The system segments the CT brain images into three partitions,i.e.,abnor malities,cerebrospinal fluid(CSF) ,and brain matter. Our approach consists of two phase-segmentation methods.In the first phase segmentation,k-means and fuzzy c-means(FCM)methods were implemented to segment and transform the images into the binary images. Based on the connected component in binary images,a decision tree was employed for the annotation of normal or abnormal regions. In the second phase segmentation,the modified FCM with population-diameter independent(PDI)segmentation was applied to segment the images into CSF and brain matter. The experimental results have shown that our proposed systemis feasible and yield satisfactory results.

关键词：计算断层摄影术无指导的分割 k 工具模糊 c 工具人口直径 indepentdent

MELex: The Construction of Malay-English Sentiment Lexicon

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Computers, Materials & Continua 2022年第4期71卷 1789-1805页

作者： Nurul Husna Mahadzir Mohd faizal Omar Mohd Nasrun Mohd Nawi Anas ASalameh Kasmaruddin Che Hussin Abid Sohail Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA(UiTM)Kedah08400MerbokKedahMalaysia Department of Decision Sciences School of Quantitative SciencesUniversiti Utara Malaysia06010KedahMalaysia Disaster Management of Institute School of Technology Management and LogisticUniversiti Utara Malaysia06010KedahMalaysia Department of Management Information System College of Business AdministrationPrince Sattam Bin Abdulaziz University165Al-KharjSaudi Arabia Faculty of Entrepreneurship and Business Universiti Malaysia KelantanMalaysia Department of Computer Science COMSATS University IslamabadLahorePakistan

Currently,the sentiment analysis research in the Malaysian context lacks in terms of the availability of the sentiment lexicon.Thus,this issue is addressed in this paper in order to enhance the accuracy of sentiment analysis.In this study,a new lexicon for sentiment analysis is constructed.A detailed review of existing approaches has been conducted,and a new bilingual sentiment lexicon known as MELex(Malay-English Lexicon)has been generated.Constructing MELex involves three activities:seed words selection,polarity assignment,and synonym expansions.Our approach differs from previous works in that MELex can analyze text for the two most widely used languages in Malaysia,Malay,and English,with the accuracy achieved,is 90%.It is evaluated based on the experimentation and case study approaches where the affordable housing projects in Malaysia are selected as case projects.This finding has given an implication on the ability of MELex to analyze public sentiments in the Malaysian context.The novel aspects of this paper are two-fold.Firstly,it introduces the new technique in assigning the polarity score,and second,it improves the performance over the classification of mixed language content.

关键词： Machine learning data sciences artificial intelligence opinion mining sentiment analysis sentiment lexicon lexicon-based bilingual lexicon

Zero-Index Metamaterial Superstrates UWB Antenna for Microwave Imaging Detection

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计算机、材料和连续体（英文） 2023年第4期75卷 277-292页

作者： Mohd Aminudin Jamlos Nur Amirah Othman Wan Azani Mustafa Mohd faizal Jamlos Mohamad Nur Khairul Hafizi Rohani Faculty of Electronic Engineering Technology Universiti Malaysia PerlisPauh Putra Campus02600ArauMalaysia Faculty of Electrical Engineering Technology Universiti Malaysia PerlisPauh Putra Campus02600ArauMalaysia Faculty of Mechanical and Manufacturing Engineering Universiti Malaysia Pahang26600PekanMalaysia

Metamaterials(MTM)can enhance the properties of microwaves and also exceed some limitations of devices used in technical practice.Note that the antenna is the element for realizing a microwave imaging(MWI)system since it is where signal transmission and absorption occur.Ultra-Wideband(UWB)antenna superstrates with MTM elements to ensure the signal transmitted from the antenna reaches the tumor and is absorbed by the same antenna.The lack of conventional head imaging techniques,for instance,Magnetic Resonance Imaging(MRI)and Computerized Tomography(CT)-scan,has been demonstrated in the paper focusing on the point of failure of these techniques for prompt diagnosis and portable systems.Furthermore,the importance ofMWIhas been addressed elaborately to portray its effectiveness and aptness for a primary tumor diagnosis.Other than that,MTM element designs have been discussed thoroughly based on their performances towards the contributions to the better image resolution of MWI with detailed reasonings.This paper proposes the novel design of a Zeroindex Split RingResonator(SRR)MTMelement superstrate with a UWB antenna implemented in MWI systems for detecting tumor.The novel design of the MTM enables the realization of a high gain of a superstrate UWB antenna with the highest gain of 5.70 dB.Besides that,the MTM imitates the conduct of the zeroreflection phase on the resonance frequency,which does not exist.An antenna with an MTM unit is of a 7×4 and 10×5 Zero-index SRR MTM element that acts as a superstrate plane to the antenna.Apart from that,Rogers(RT5880)substrate material is employed to fabricate the designed MTM unit cell,with the following characteristics:0.51mm thickness,the loss tangent of 0.02,as well as the relative permittivity of 2.2,with Computer Simulation Technology(CST)performing the simulation and design.Both MTM unit cells of 7×4 and 10×5 attained 0°with respect to the reflection phase at the 2.70 GHz frequency band.The first design,MTM Antenna Design 1,consists of a 7×4 MTM unit cell that observed a r

关键词： Zero-index metamaterial(ZIM) ultra-wideband(UWB) microwave imaging(MWI)detection

Multiverse in the Third Quantized Formalism

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Communications in Theoretical Physics 2014年第11期61卷 697-700页

作者： Mir faizal Department of Physics and Astronomy University of WaterlooWaterloo Ontario N2L 3G1 Canada

In this paper we will analyze the third quantization of gravity in path integral formalism. We will use the time-dependent version of Wheeler–DeW itt equation to analyze the multiverse in this formalism. We will prop... 详细信息

关键词： third quantization baryogensis Wheeler–De Witt equation

一种使用静态分析和遗传搜索在Android恶意软件检测中搜索最优特征的方法（英文）

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Frontiers of Information Technology & Electronic Engineering 2018年第6期19卷 712-736页

作者： ahmad FIRDAUS Nor Badrul ANUAR ahmad KARIM Mohd faizal Ab RAZAK Department of Computer System and Technology University of Malaya Faculty of Computer System & Software Engineering University Malaysia Pahang Department of Information Technology Bahauddin Zakariya University

移动设备制造商在全球范围内快速开发各种Android版本。同时,网络罪犯也在实施各种恶意行为,例如跟踪用户活动、窃取个人数据以及实施银行诈骗。由于在日常生活中使用Android进行重要通信的人群数量庞大,这些网络罪犯从中获得了巨大非... 详细信息

移动设备制造商在全球范围内快速开发各种Android版本。同时,网络罪犯也在实施各种恶意行为,例如跟踪用户活动、窃取个人数据以及实施银行诈骗。由于在日常生活中使用Android进行重要通信的人群数量庞大,这些网络罪犯从中获得了巨大非法收益。为此,安全从业者通过静态和动态分析对恶意软件进行识别。静态分析具有整体代码覆盖、低资源消耗和快速处理的优势。然而,静态分析需要最少量的特征才能对恶意软件进行有效分类。因此,我们采用基于遗传算法(GA)的遗传搜索(GS)在106个字符串中选择特征。为评估由GS确定的最佳特征,我们使用了5种机器学习分类器,分别是Na?ve Bayes(NB)、功能树(FT)、J48、随机森林(RF)和多层感知器(MLP)。在这5种分类器中,FT仅使用6种特征,获得最高准确度(95%)和最高真正率(TPR)(96.7%)。

关键词：恶意软件基因算法机器人特征静态搜索学习分类器安全专业人员