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microalgae cultivation in photobioreactors:sustainable solutions for a greener future

Green Chemical Engineering 2024年第4期5卷 418-439页

作者： Shaikh Abdur Razzak Khairul Bahar K.m.Oajedul Islam Abdul Khaleel Haniffa mohammed omar Faruque S.m.Zakir Hossain mohammad m.Hossain Chemical Engineering Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Center for Refining and Advanced Chemicals King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Chemical Engineering University of BahrainZallaqBahrain

microalgae cultivation in photobioreactors(PBRs)has emerged as a promising and sustainable approach to address various environmental and energy challenges,offering a multitude of benefits across diverse *** developments in microalgae cultivation in photobioreactors have contributed substantially to the development and optimization of sustainable *** review presents a comprehensive analysis of recent innovations and breakthroughs in the field of microalgae cultivation,with a specific focus on their application in photobioreactors,aimed at paving the way for a greener *** study in-depth examines the advantages of microalgae cultivation in photobioreactors,concentrating on its effectiveness in wastewater treatment,CO_(2)bioremediation,and the production of biofuels and high-value *** review evaluates the effects of light,solar irradiation,temperature,nitrogen and phosphorus concentrations in culture media,CO_(2)concentrations,and pH on microalgae growth performance,including specific growth and biomass *** study also examines open systems like unstirred ponds,raceway ponds,and circular ponds and closed systems like horizontal tubular,vertical bubble-column,airlift,flat panel,and plastic-bag photobioreactors,comparing their pros and *** optimize microalgae cultivation,key factors in photobioreactor design,including photosynthetic efficiencies,light/dark(L/D)cycles,CO_(2)concentrations,mass transfer,hydrodynamics behavior,and p H,are extensively *** addition,the review outlines recent developments in large-scale photobioreactors and highlights the challenges and opportunities associated with photobioreactor scale-up and design parameter optimization,including genetic engineering and economic *** article is a vital resource for researchers,engineers,and industry professionals seeking sustainable bioprocesses and the application of microalgae-based technologies.

关键词： microalgae biomass CO_(2)biofixation Wastewater treatment Biofuel Photobioreactors

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Improvement of Selected morphological, Physiological, and Biochemical Parameters of Banana (musa acuminata L.) Using Potassium Silicate under Drought Stress Condition Grown in vitro

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1019-1036页

作者： Hosny Abdel Aziz mohamed Sharaf magdy omar Ahmed Abou El-Yazied Nada Ibrahim AlJwaizea Shaimaa Ismail mohamed m.A.omar Khadiga Alharbi Amr Elkelish moataz Tawfik Department of Horticulture Faculty of AgricultureAl-Azhar UniversityCairo11651Egypt Department of Biochemistry Faculty of AgricultureAl-Azhar UniversityCairo11651Egypt Department of Biochemistry and molecular Biology College of Marine Life SciencesOcean University of ChinaQingdao266003China Department of Agricultural Botany Faculty of AgricultureAl-Azhar UniversityNasr CityCairo11751Egypt Department of Horticulture Faculty of AgricultureAin Shams UniversityCairo11566Egypt Department of Biology College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Biochemistry Faculty of AgricultureAin Shams UniversityCairo11566Egypt Biology Department College of ScienceImam Mohammad ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia Botany Department Faculty of ScienceSuez Canal UniversityIsmailia41522Egypt Botany Department Faculty of SciencePort Said UniversityPort Said42511Egypt

Drought stress has become more common in recent years as a result of climate change impacts on the production of banana crops and other fruit *** growth and productivity of musa spp are severely impacted by the gradual degradation of water resources and the erratic distribution pattern of annual precipitation *** aim of the work includes increased drought tolerance in light of water scarcity in the world as a result of the bananas’being gluttonous for water *** investigation was carried out from 2019 to 2020 to study the effect of potassium silicate on morphological growth and biochemical parameters of musa acuminata L under drought stress by *** a result,drought stress reduced the morphological characteristics such as shoots number,shoot length,roots number,and survival percentage and biochemical characteristics such as chlorophyll a,b,carotenoids,stomatal status,and *** proline content increased in the leaf of *** *** complemented with K2SiO3(2 to 6 mm)either individually or in combination with PEG led to an improvement in all morphological and biochemical *** activities of CAT,POD,and PPO enzymes increased significantly compared to ***,the lowest PPO,CAT,and POD activity were ***,K2SiO3 treatments under drought stress successfully enhanced the leaf stomatal *** results suggest that K2SiO3 can help to maintain plant integrity in the tested cultivar under drought stress.

关键词： musa acuminata L potassium silicate photosynthetic pigments stomata enzymatic activity

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machine Learning-Based Pruning Technique for Low Power Approximate Computing

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Computer Systems Science & Engineering 2022年第7期42卷 397-406页

作者： B.Sakthivel K.Jayaram N.manikanda Devarajan S.mahaboob basha S.Rajapriya Department of Electronics and Communication Engineering Madurai Institute of Engg and TechnologySivagangaiTamilnadu630611India Pilecubes India Pvt Ltd. ChennaiTamilnaduIndia Department of Electronics and Communication Engineering Malla Reddy Engineering College(Autonomous)Secunderabad500100India Department of Electronics and Communication Engineering R.M.K.Engineering CollegeKavaraipettaiChennaiTamil Nadu601206India Department of Electronics and Communication Engineering K Ramakrishnan College of EngineeringKariyamanickam RdTamil Nadu621112India

Approximate Computing is a low power achieving technique that offers an additional degree of freedom to design digital *** is one of the types of approximate circuit design technique which removes logic gates or wires in the circuit to reduce power consumption with minimal insertion of *** this work,a novel machine learning(mL)-based pruning technique is introduced to design digital *** machine-learning algorithm of the random forest deci-sion tree is used to prune nodes selectively based on their input *** addi-tion,an error compensation value is added to the original output to reduce an error *** results proved the efﬁciency of the proposed technique in terms of area,power and error *** to conventional pruning,proposed mL pruning achieves 32%and 26%of the area and delay reductions in 8*8 multi-plier *** power image processing algorithms are essential in various applications like image compression and enhancement *** real-time evaluation,proposed mL optimized pruning is applied in discrete cosine transform(DCT).It is a basic element of image and video processing *** results on benchmark images show that proposed pruning achieves a very good peak signal-to-noise ratio(PSNR)value with a considerable amount of energy savings compared to other methods.

关键词： machine learning pruning approximate computing PSNR

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DNBP-CCA:A Novel Approach to Enhancing Heterogeneous Data Traffic and Reliable Data Transmission for Body Area Network

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Computers, materials & Continua 2024年第5期79卷 2851-2878页

作者： Abdulwadood Alawadhi mohd.Hasbullah omar Abdullah Almogahed Noradila Nordin Salman A.Alqahtani Atif m.Alamri InterNetWorks Research Laboratory School of ComputingUniversiti Utara MalaysiaSintok06010Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaParit RajaJohor86400Malaysia School of Games&Creative Technology University for the Creative ArtsFarnhamGU97DSUK Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The increased adoption of Internet of medical Things (IomT) technologies has resulted in the widespread use ofBody Area Networks (BANs) in medical and non-medical domains. However, the performance of IEEE 802.15.4-based BANs is impacted by challenges related to heterogeneous data traffic requirements among nodes, includingcontention during finite backoff periods, association delays, and traffic channel access through clear channelassessment (CCA) algorithms. These challenges lead to increased packet collisions, queuing delays, retransmissions,and the neglect of critical traffic, thereby hindering performance indicators such as throughput, packet deliveryratio, packet drop rate, and packet delay. Therefore, we propose Dynamic Next Backoff Period and Clear ChannelAssessment (DNBP-CCA) schemes to address these issues. The DNBP-CCA schemes leverage a combination ofthe Dynamic Next Backoff Period (DNBP) scheme and the Dynamic Next Clear Channel Assessment (DNCCA)scheme. The DNBP scheme employs a fuzzy Takagi, Sugeno, and Kang (TSK) model’s inference system toquantitatively analyze backoff exponent, channel clearance, collision ratio, and data rate as input parameters. Onthe other hand, the DNCCA scheme dynamically adapts the CCA process based on requested data transmission tothe coordinator, considering input parameters such as buffer status ratio and acknowledgement ratio. As a result,simulations demonstrate that our proposed schemes are better than some existing representative approaches andenhance data transmission, reduce node collisions, improve average throughput, and packet delivery ratio, anddecrease average packet drop rate and packet delay.

关键词： Internet of medical Things body area networks backoff period tsk fuzzy model clear channel assessment media access control

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Influence of Y^(3+),Yb^(3+),Gd^(3+) cations on structural and electromagnetic properties of CuFe_(2)O_(4) nanoferrites prepared via one step sol-gel method

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Journal of Rare Earths 2021年第10期39卷 1224-1231,I0003页

作者： Aleena Kiran majid Niaz Akhtar muhammad Yousaf Khalid mujassam Batoo omar mAldossary Salman Naeem Khan Department of Physics COMSATS University IslamabadLahore CampusDefence Road Off RaiwindLahore54000Pakistan Department of Physics Mohammad Nawaz Sharif University of Engineering and TechnologyMultan60000Pakistan School of Energy and Environment Southeast UniversityNo2 Si Pai LouNanjing 210096China King Abdullah Institute for Nanotechnology King Saud UniversityP.O.Box 2455Riyadh11458Saudi Arabia Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box-2455Riyadh11451Saudi Arabia micro-mm Wave Laboratory(m2L) Department of PhysicsCOMSATS University IslamabadLahore CampusDefence Road Off RaiwindLahore54000Pakistan

Rare earths(REs) play a key role in distorting spinel structure by creating some defects at the lattice sites and make them suitable for magnetodielectric *** the present study,the nanoferrites of CuRE0.02Fe1.98O4,where REs=Y^(3+),Yb^(3+),Gd^(3+),were prepared using one step sol-gel *** prepared samples are copper ferrite(CFO),yttrium doped copper ferrite(Y-CFO),ytterbium doped copper ferrite(Yb-CFO) and gadolinium doped copper ferrite(Gd-CFO),*** single-phase structure of all the REs doped nanoferrites was determined by X-ray diffraction(XRD) *** porosity,agglomerations and grain size of the REs doped copper ferrite were examined using field emission scanning electron microscopy(FESEm) *** transform infrared spectroscopy(FTIR)elaborates the phase formation and environmental effects on the REs doped nanoparticles(NPs).The recorded room temperature m-H loops from a vibrating sample magnetometer(VSm) elucidate the magnetic properties of the REs doped spinel *** magnetic saturation(ms) was calculated in the range of 23.08 to 51.78 emu/*** calculated coercivity values(272.6 to 705.60 Oe) confirm the soft magnetic behavior of REs doped copper ***,the electromagnetic and dielectric properties were assessed using a Vector network analyzer(VNA) from 1 to 6 *** permeability,permittivity,dielectric tangent loss and electric modulus of the REs doped spinel ferrites illustrate that the prepared NPs may be suitable for microwave and high frequency applications.

关键词： Rare earth elements Nanoparticles Spinel ferrites VSm VNA magnetodielectric applications

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Cervical Cancer Prediction Empowered with Federated machine Learning

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Computers, materials & Continua 2024年第4期79卷 963-981页

作者： muhammad Umar Nasir omar Kassem Khalil Karamath Ateeq Bassam SaleemAllah Almogadwy m.A.Khan Khan muhammad Adnan Department of Computer Sciences Bahria University Lahore CampusLahore54000Pakistan Faculty of Information Technology Liwa CollegeAbu Dhabi20009UAE Department of Computing Skyline University CollegeSharjah999041UAE Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Riphah School of Computing and Innovation Faculty of ComputingRiphah International UniversityLahore54000Pakistan Department of Software Faculty of Artificial Intelligence and SoftwareGachon UniversitySeongnam13120Korea

Cervical cancer is an intrusive cancer that imitates various women around the world. Cervical cancer ranks in thefourth position because of the leading death cause in its premature stages. The cervix which is the lower end of thevagina that connects the uterus and vagina forms a cancerous tumor very slowly. This pre-mature cancerous tumorin the cervix is deadly if it cannot be detected in the early stages. So, in this delineated study, the proposed approachuses federated machine learning with numerous machine learning solvers for the prediction of cervical cancer totrain the weights with varying neurons empowered fuzzed techniques to align the neurons, Internet of medicalThings (IomT) to fetch data and blockchain technology for data privacy and models protection from hazardousattacks. The proposed approach achieves the highest cervical cancer prediction accuracy of 99.26% and a 0.74%misprediction rate. So, the proposed approach shows the best prediction results of cervical cancer in its early stageswith the help of patient clinical records, and all medical professionals will get beneficial diagnosing approachesfrom this study and detect cervical cancer in its early stages which reduce the overall death ratio of women due tocervical cancer.

关键词： Cervical cancer federated machine learning neurons blockchain technology

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Electrospun polyvinyl alcohol fibres incorporating an antimicrobial gel for enzymatically controlled reactive oxygen species release

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Bio-Design and manufacturing 2024年第6期7卷 899-925页

作者： Joel Yupanqui mieles Cian Vyas Evangelos Daskalakis mohamed Hassan James Birkett Abdalla m.omar Gavin Humphreys Carl Diver Paulo Bartolo Department of mechanical Aerospace and Civil EngineeringUniversity of ManchesterManchester M139PLUK Singapore Centre for 3D Printing School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingapore 639798Singapore Department of Chemistry University of ManchesterManchester M139PLUK Division of Pharmacy and Optometry University of ManchesterManchester M139PLUK Department of Engineering Manchester Metropolitan UniversityManchester M139PLUK

Wounds pose a risk to the skin,our body's primary defence against *** rise of antibiotic resistance has prompted the development of novel ***-101^(■)is an antimicrobial gel that delivers therapeutic levels of hydrogen peroxide(H_(2)O_(2)),a reactive oxygen species,directly to the wound *** this study,electrospinning was used to incorporate RO-101^(■)into a polyvinyl alcohol(PVA)sub-micron fibrous mesh that can act as a delivery agent,achieve a sustained release profile,and provide a barrier against *** incorporation of this gel into sub-micron fibres was confirmed via nuclear magnetic resonance ***,scanning electron microscopy exhibited smooth and uniform meshes with diameters in the 200-500 nm ***/RO-101 electrospun meshes generated H_(2)O_(2) in concentrations exceeding 1 m m/(g·m L)(1 m m=1 mmol/L)after 24 h,and the role of sterilisation on H_(2)O_(2) release was ***/RO-101meshes exhibited antimicrobial activity against both Gram-positive Staphylococcus aureus(***)and Gram-negative Pseudomonas aeruginosa(***)bacteria,achieving viable count reductions of up to 1 log unit CFU/mm^(2)(CFU:colony-forming units).moreover,these meshes were capable of disrupting biofilm formation,even against multidrug-resistant organisms such as methicillin-resistant ***(mRSA).Furthermore,increasing the RO-101^(■)concentration resulted in higher H_(2)O_(2) production and an enhanced antimicrobial effect,while fibroblast cell viability and proliferation tests showed a concentration-dependent response with high cytocompatibility at low RO-101^(■)*** study therefore demonstrates the potential of highly absorbent PVA/RO-101 meshes as potential antimicrobial wound dressings.

关键词： Antimicrobial Electrospinning Hydrogen peroxide Polyvinyl alcohol Reactive oxygen species Tissue engineering Wound dressing

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Novel potentiometric application for the determination of amprolium HCl in its single and combined dosage form and in chicken liver

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Chinese Chemical Letters 2017年第3期28卷 612-618页

作者： mai A. basha mohamed K. Abd El-Rahman Lories I. Bebawy maissa Y. Salem National Organization of Drug Control and Research (NODCAR) Cairo 29 Egypt Analytical Chemistry Department Faculty of Pharmacy Cairo University Cairo 11562 Egypt

Three novel amprolium HCl（AmP）-selective electrodes were investigated with 2-nitrophenyl octylether as a plasticiser in a polymeric matrix of polyvinyl chloride（PVC）. Sensor I was fabricated using potassium tetrakis（4-chlorophenyl） borate（Tp ClPB） as a cationic exchanger without incorporation of an *** Ⅱ used 2-hydroxy propyl β-cyclodextrin as an ionophore while sensor Ⅲ used p-tert-butylcalix[8]arene as an ionophore. The three proposed sensors showed Nernestian response slopes of 29.2±0.8,29.3±0.6 and 30.2±0.4 m V/decade over the concentration range from 10–6 to 10–2 mol L_（-1）,respectively. The proposed sensors displayed useful analytical characteristics for the determination of AmP in bulk powder, different pharmaceutical formulations, and chicken liver and in the presence of ethopabate. The proposed method was validated according to ICH guidelines for its linearity, accuracy,precision and robustness.

关键词： Amprolium HCl Cationic exchanger Ionophore Ion selective electrodes Ethopabate Chicken liver

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Visibility Enhancement of Scene Images Degraded by Foggy Weather Condition: An Application to Video Surveillance

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Computers, materials & Continua 2021年第9期68卷 3465-3481页

作者： Ghulfam Zahra muhammad Imran Abdulrahman m.Qahtani Abdulmajeed Alsufyani omar Almutiry Awais mahmood Fayez Eid Alazemi Department of Computer Science Shaheed Zulfikar Ali Bhutto Institute of Science and TechnologyIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science and Information Systems College of Business StudiesPAAET12062Kuwait

:In recent years,video surveillance application played a significant role in our daily *** taken during foggy and haze weather conditions for video surveillance application lose their authenticity and hence reduces the *** reason behind visibility enhancement of foggy and haze images is to help numerous computer and machine vision applications such as satellite imagery,object detection,target killing,and *** remove fog and enhance visibility,a number of visibility enhancement algorithms and methods have been proposed in the ***,these techniques suffer from several limitations that place strong obstacles to the real world outdoor computer vision *** existing techniques do not perform well when images contain heavy fog,large white region and strong atmospheric *** research work proposed a new framework to defog and dehaze the image in order to enhance the visibility of foggy and haze *** proposed framework is based on a Conditional generative adversarial network(CGAN)with two networks;generator and discriminator,each having distinct *** generator network generates fog-free images from foggy images and discriminator network distinguishes between the restored image and the original fog-free *** are conducted on FRIDA dataset and haze *** assess the performance of the proposed method on fog dataset,we use PSNR and SSIm,and for Haze dataset use e,r−,andσas performance *** results shows that the proposed method achieved higher values of PSNR and SSIm which is 18.23,0.823 and lower values produced by the compared method which are 13.94,0.791 and so *** results demonstrated that the proposed framework Has removed fog and enhanced the visibility of foggy and hazy images.

关键词： Video surveillance degraded images image restoration transmission map visibility enhancement

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Advancement in Information Foraging Theory

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Intelligent Information management 2012年第6期4卷 383-389页

作者： Shailesh Khapre m. S. Saleem.basha Departmentof Computer Science Pondicherry University Pondicherry India

This paper presents the advantages of information foraging theory matched with traditional information retrieval theory and user behavior analysis theory, a search content framework for information foraging theory is described, on a thor- ough review of the two research branches i.e. the basic concept of information foraging theory and the elementary mod- els of information foraging theory, an extended framework is proposed,. Several problems for future research are also identified through.

关键词： Information Foraging Information Scent Patch-models Diet-models marginal-Value Foraging Theory

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