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Nano-Enhanced Dairy Scum Biodiesel Blends:Unleashing the Power of Aluminium Oxide for Sustainable and Efficient Engine Performance

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Journal of Thermal Science 2025年第1期 283-302页

作者： Veeranna MODI Prasad B.RAMPURE Sunil Kumar SHETTY Madeva NAGARAL Channa Keshava NAIK N Johar MGM Muhammad Irsyad abdullah abdullah I.AL-MANSOUR Shamshad ALAM KLE College of Engineering and Technology ChikodiVisvesvaraya Technological University Nitte (Deemed to be University) NMAM Institute of Technology (NMAMIT)Department of Mechanical Engineering Aircraft Research and Design Centre HAL Department of Mechanical Engineering BGS College of Engineering and TechnologyBengaluruAffiliated to Visvesvaraya Technological University Management and Science University Department of Civil Engineering College of EngineeringKing Saud University

This study investigates the effect of aluminium oxide nanoparticlesaddition to biodiesel blends made from dairy milk scum on performance and combustion characteristics of the diesel *** dispersion of Al2O3nanoparticles in B20 blends at different concentrations was done with the help of *** number of blends were prepared for the *** Machine learning algorithms(Random Forest（RF）and CatBoost) was used for the *** results show that in comparison to biodiesel blends without nanoparticles,the kinematic viscosity and density is higher for fuel blends with *** these Fuel blends have higher calorific *** blends exhibited reduced Brake Specific Fuel Consumption（BSFC） of2.85% than the blends without nano particles(Dairy Scum Methyl Ester Biodiesel 20%+Neat Diesel 80%（in volume）,DSMEB20),57.14% less CO,40.8% less hydrocarbon,and increased NOxemissions compared to conventional diesel,contributing to the development of environmentally friendly and renewable biofuel blends with *** B20NP30 is the optimal blend for performance and emission *** study concludes with findings on enhanced Brake Thermal Efficiency（BTE） of 26.29% in 3×10-5（in volume） Al2O3nanoparticle-blended DSME B20 and other DSME B20 fuel blends,emphasizing the importance of optimal nanoparticle *** correlation matrix shows how engine load,efficiency measures（BTE,BSFC）,and emissions（CO,CO2,NOx,Smoke） are connected in complex *** results help us understand the complicated dynamics of engine performance and emission characteristics ***'s diagram for BTE and BSFC shows that CatBoost-based BTE models perform superior to RF-based models during the training as well as testing *** results were obtained for CO and CO2emission results.

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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali Syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

Energy behavior of Boris algorithm

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Chinese Physics B 2021年第5期30卷 492-498页

作者： abdullah Zafar Majid Khan Department of Engineering and Applied Physics University of Science and Technology of ChinaHefei 230026China Department of Physics Quaid-i-Azam UniversityIslamabad 45320Pakistan

Boris numerical scheme due to its long-time stability,accuracy and conservative properties has been widely applied in many studies of magnetized *** algorithms conserve the phase space volume and hence provide accurate charge particle ***,this algorithm does not conserve the energy in some special electromagnetic configurations,particularly for long simulation ***,we empirically analyze the energy behavior of Boris algorithm by applying it to a 2D autonomous *** energy behavior of the Boris method is found to be strongly related to the integrability of our Hamiltonian *** find that if the invariant tori is preserved under Boris discretization,the energy error can be bounded for an exponentially long time,otherwise the said error will show a linear *** the contrary,for a non-integrable Hamiltonian system,a random walk pattern has been observed in the energy error.

关键词： Boris algorithm invariant tori chaotic system Hénon-Heiles potential

A facile and green synthetic approach toward fabrication of starch-stabilized magnetite nanoparticles

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Chinese Chemical Letters 2017年第7期28卷 1590-1596页

作者： Nurul Hidayah abdullah Kamyar Shameli Ezzat Chan abdullah Luqman Chuah abdullah Department of Environmental Engineering and Green Technology (EGT) Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia (UTM) Department of Chemical and Environmental Engineering Faculty of Engineering Universiti Putra Malaysia

A facile and green synthetic approach for fabrication of starch-stabilized magnetite nanoparticles was implemented at moderate temperature. This synthesis involved the use of iron salts, potato starch,sodium hydroxide and deionized water as iron precursors, stabilizer, reducing agent and solvent respectively. The nanoparticles（NPs） were characterized by UV-vis, PXRD, HR-TEM, FESEM, EDX, VSM and FT-IR spectroscopy. The ultrasonic assisted co-precipitation technique provides well formation of highly distributed starch/Fe3O4-NPs. Based on UV–vis analysis, the sample showed the characteristic of surface plasmon resonance in the presence of Fe3O4-NPs. The PXRD pattern depicted the characteristic of the cubic lattice structure of Fe3O4-NPs. HR-TEM analysis showed the good dispersion of NPs with a mean diameter and standard deviation of 10.68 4.207 nm. The d spacing measured from the lattice images were found to be around 0.30 nm and 0.52 nm attributed to the Fe3O4 and starch, respectively. FESEM analysis confirmed the formation of spherical starch/Fe3O4-NPs with the emission of elements of C, O and Fe by EDX analysis. The magnetic properties illustrated by VSM analysis indicated that the as synthesized sample has a saturation magnetization and coercivity of 5.30 emu/g and 22.898 G ***, the FTIR analysis confirmed the binding of starch with Fe3O4-NPs. This method was cost effective, facile and eco-friendly alternative for preparation of NPs.

关键词： Nanoparticles Fe3O4 Starch Magnetic properties Vibrating sample magnetometer

Assessment of wheat’s water footprint and virtual water trade:a case study for Turkey

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Ecological Processes 2020年第1期9卷 145-160页

作者： abdullah Muratoglu Civil Engineering Department Batman UniversityBati Raman Campus72100 BatmanTurkey

Background:Many countries are experiencing significant water scarcity and related problems due to limited availability,uneven distribution of water resources and high ***,increasing water use efficiency and better management of existing resources have become substantially *** agricultural sector is responsible for around 80%of global freshwater *** is one of the most important crops having large volumes of virtual water(VW)which is defined as the hidden water embedded in the ***:Water footprint(WF)is an indicator showing the total volume of freshwater consumption of a product or *** water concept is defined as the amount of exploited surface and groundwater *** water represents the total volume of rainwater allocated by the *** methodology brings a new approach to inter-regional water use and management by quantifying the amount of direct and indirect water use and tracing the hidden links between production,consumption and *** main objective of this study is to analyze Turkey’s national blue and green WF of wheat production,consumption and virtual water trade between 2008 and *** province-based quantification of wheat’s water exploitation is provided using spatial interpolation ***:Total consumptive WF of wheat production and consumption of Turkey is calculated as 39.3 and 48.1 Gm^(3)/year,*** average blue and green VW contents of wheat production through Turkey are assessed to be 1161 and 748 m^(3)/ton,*** water footprint parameters of each province are calculated and discussed using climatic and agricultural *** transfer of Turkey’s international wheat trade is also *** national water saving is calculated as 7.8 Gm^(3)/year which is mostly imported from *** VW deficit due to international wheat trade is calculated to be 1.76 Gm^(3)/***:Despite its high contribution to global wheat production,increas

关键词： Evapotranspiration Spatial interpolation Agriculture Management Sustainability Transfer

Fragmented forest in tropical landscape——the case of the State of Selangor, Malaysia

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Journal of Environmental Sciences 2003年第2期15卷 267-270页

作者： Saiful Arif abdullah Institute for Environment and Development (LESTARI) University Kebangsaan Malaysia

This paper presents the pattern and changes of fragmented forest in relation with changes of total forest cover in the state of Selangor in three decades. In this study, inventoried forest cover maps of Selangor in 1971/1972, 1981/1982 and 1991/1992 produced by the Forestry Department of Peninsular Malaysia were digitized to examine the changes in area and number of fragmented forest. Results showed that in 1971/1972, 16 fragmented forests were identified in Selangor. All fragmented forests were identified as dipterocarp forest. A decade later the number of fragmented forests increased by approximately 44% (23). Of the 23 fragmented forests, two were peat swamp forests whereas the remaining were dipterocarp forests. In 1991/1992 the number of fragmented forests (12) was reduced by 47.8%. Two of the fragmented forests were identified as peat swamp forest, seven dipterocarp forest and the other three was mixed of dipterocarp forests and plantation forests. Fragmentation of both dipterocarp and peat swamp forests occurred profoundly during the period between 1971/1972 and 1981/1982, which consequently increased the number of fragmented forests compared with before the period of 1971/1972 where fragmentation happened only at dipterocarp forests. However, many fragmented forests vanished between the 1981/1982 and 1991/1992 periods.

关键词： tropical rain forest tropical landscape fragmentation Malaysia

Optimization of Sentiment Analysis Using Teaching-Learning Based Algorithm

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Computers, Materials & Continua 2021年第11期69卷 1783-1799页

作者： abdullah Muhammad Salwani abdullah Nor Samsiah Sani Center for Artificial Intelligence Technology Faculty of Information Science&TechnologyUniversiti KebangsaanKajang43000Malaysia

Feature selection and sentiment analysis are two common studies that are currently being conducted;consistent with the advancements in computing and growing the use of social *** dimensional or large feature sets is a key issue in sentiment analysis as it can decrease the accuracy of sentiment classification and make it difficult to obtain the optimal subset of the ***,most reviews from social media carry a lot of noise and irrelevant ***,this study proposes a new text-feature selection method that uses a combination of rough set theory(RST)and teaching-learning based optimization(TLBO),which is known as *** framework to develop the proposed RSTLBO includes numerous stages:(1)acquiring the standard datasets(user reviews of six major ***)which are used to validate search result feature selection methods,(2)preprocessing of the dataset using text processing *** involves applying text processing methods from natural language processing techniques,combined with linguistic processing techniques to produce high classification results,(3)employing the RSTLBO method,and(4)using the selected features from the previous process for sentiment classification using the Support Vector Machine(SVM)*** show an improvement in sentiment analysis when combining natural language processing with linguistic processing for text *** importantly,the proposed RSTLBO feature selection algorithm is able to produce an improved sentiment analysis.

关键词： Feature selection sentiment analysis rough set theory teachinglearning optimization algorithms text processing

Software Coupling and Cohesion Model for Measuring the Quality of Software Components

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Computers, Materials & Continua 2023年第12期77卷 3139-3161页

作者： Zakarya abdullah Alzamil Software Engineering Department CCIS King Saud UniversityRiyadh11495Saudi Arabia

Measuring software quality requires software engineers to understand the system’s quality attributes and their *** quality attribute is a qualitative property;however,the quantitative feature is needed for software measurement,which is not considered during the development of most software *** research studies have investigated different approaches for measuring software quality,but with no practical approaches to quantify and measure quality *** paper proposes a software quality measurement model,based on a software interconnection model,to measure the quality of software components and the overall quality of the software *** most of the existing approaches,the proposed approach can be applied at the early stages of software development,to different architectural design models,and at different levels of system *** article introduces a software measurement model that uses a heuristic normalization of the software’s internal quality attributes,i.e.,coupling and cohesion,for software quality *** this model,the quality of a software component is measured based on its internal strength and the coupling it exhibits with other component(s).The proposed model has been experimented with nine software engineering teams that have agreed to participate in the experiment during the development of their different software *** experiments have shown that coupling reduces the internal strength of the coupled components by the amount of coupling they exhibit,which degrades their quality and the overall quality of the software *** introduced model can help in understanding the quality of software *** addition,it identifies the locations in software design that exhibit unnecessary couplings that degrade the quality of the software systems,which can be eliminated.

关键词： Software coupling measurement software cohesion measurement quality attributes measurement software quality measurement software quality modeling

Opto-valleytronics in the 2D van der Waals heterostructure

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Nano Research 2021年第6期14卷 1901-1911页

作者： abdullah Rasmita Wei-bo Gao Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingapore637371Singapore The Photonics Institute and Centre for Disruptive Photonic Technologies Nanyang Technological UniversitySingapore637371Singapore

The development of information processing devices with minimum carbon emission is crucial in this information age. One of the approaches to tackle this challenge is by using valleys (local extremum points in the momentum space) to encode the information instead of charges. The valley information in some material such as monolayer transition metal dichalcogenide (TMD) can be controlled by using circularly polarized light. This opens a new field called opto-valleytronics. In this article, we first review the valley physics in monolayer TMD and two-dimensional (2D) heterostructure composed of monolayer TMD and other materials. Such 2D heterostructure has been shown to exhibit interesting phenomena such as interlayer exciton, magnetic proximity effect, and spin-orbit proximity effect, which is beneficial for opto-valleytronics application. We then review some of the optical valley control methods that have been used in the monolayer TMD and the 2D heterostructure. Finally, a summary and outlook of the 2D heterostructure opto-valleytronics are given.

关键词： opto-valleytronics two-dimensional(2D)heterostructure interlayer exciton transition metal dichalcogenide proximity effect