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ultrahydrophobic melamine sponge via interfacial modification with reduced graphene oxide/titanium dioxide nanocomposite and polydimethylsiloxane for oily wastewater treatment

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Water Science and Engineering 2024年第2期17卷 139-149页

作者： Hamidatu Alhassan Ying Woan Soon anwar Usman Voo Nyuk Yoong Department of Physics Universiti Brunei DarussalamBandar Seri Begawan BE1410Brunei Department of Chemical Sciences Universiti Brunei DarussalamBandar Seri Begawan BE1410Brunei

Three-dimensional(3D)porous absorbents have attracted significant attention in the oily wastewater treatment technology due to their high porosity and *** their amphiphilic surface,they have a propensity to simultaneously absorb water and oil,which restricts their range of *** this study,a reduced graphene oxide and titanium dioxide nanocomposite(rGO/TiO_(2))was used to fabricate an ultra-hydrophobic melamine sponge(mS)through interfacial modification using a solution immersion *** further modify it,poly-dimethylsiloxane(PDmS)was grafted onto its surface to establish stronger covalent bonds with the *** water contact angle of the sponge(rGO/TiO_(2)/PDmS/mS)was 164.2°,which satisfies the condition for *** evidence of its water repellency was demonstrated by the Cassie-Baxter theory and the lotus leaf *** a result of the increased density of rGO/TiO_(2)/PDmS/mS,it recorded an initial capacity that was 2 g/g lower than the raw mS for crude oil *** raw mS retained 53% of its initial absorption capacity after 20 cycles of absorption,while rGO/TiO_(2)/PDmS/mS retained 97%,suggesting good *** oil and organic solvent recovery(90%-96%)was demonstrated by rGO/TiO_(2)/PDmS/mS in oil-water *** a continuous separation system,it achieved a remarkable separation efficiency of 2.4×10^(6)L/(m^(3)·h),and in turbulent emulsion separation,it achieved a demulsification efficiency of 90%-91%.This study provides a practical substitute for massive oil spill cleaning.

关键词： Oily wastewater Reduced graphene oxide Polydimethylsiloxane(PDmS) Emulsion separation melamine sponge

m_(4)X_(3) mXenes:Application in Energy Storage Devices

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Nano-micro Letters 2024年第10期16卷 522-542页

作者： Iftikhar Hussain Waqas ul Arifeen Shahid Ali Khan Sikandar Aftab muhammad Sufyan Javed Sajjad Hussain muhammad Ahmad Xi Chen Jiyun Zhao PRosaiah Khaled Fahmi Fawy Adnan Younis Sumanta Sahoo Kaili Zhang Department of mechanical Engineering City University of Hong Kong83 Tat Chee AvenueKowloon TongHong KongPeople's Republic of China School of mechanical Engineering Yeungnam UniversityDaehak-roGyeongsan-siGyeongbuk-do 38541South Korea Department of Semiconductor Systems Engineering and Clean Energy Sejong UniversitySeoul 05006Republic of Korea School of Physical Science and Technology Lanzhou UniversityLanzhou 730000People's Republic of China Department of Nanotechnology and Advanced materials Engineering Sejong UniversitySeoul 05006Republic of Korea Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennai 602105India Department of Chemistry Faculty of ScienceKing Khalid UniversityP.O.Box 900461413 AbhaSaudi Arabia Department of Physics College of ScienceUnited Arab Emirates UniversityP.O.Box 15551Al-AinUnited Arab Emirates School of Chemical Engineering Yeungnam UniversityGyeongsanGyeongbuk 38541South Korea

mXene has garnered widespread recognition in the scientific com-munity due to its remarkable properties,including excellent thermal stability,high conductivity,good hydrophilicity and dispersibility,easy processability,tunable surface properties,and admirable *** have been categorized into different families based on the number of m and X layers in m_(n+1)X_(n),such as m_(2)X,m_(3)X_(2),m_(4)X_(3),and,recently,m_(5)X_(4).Among these families,m_(2)X and m_(3)X_(2),par-ticularly Ti_(3)C_(2),have been greatly explored while limited studies have been given to m_(5)X_(4)mXene ***,studies on the m_(4)X_(3)mXene family have developed recently,hence,demanding a compilation of evaluated ***,this review provides a systematic overview of the latest advancements in m_(4)X_(3)mXenes,focusing on their properties and applications in energy storage *** objective of this review is to provide guidance to researchers on fostering m_(4)X_(3)mXene-based nanomaterials,not only for energy storage devices but also for broader applications.

关键词： mXene m_(4)X_(3)mXenes 2D materials Energy storage Properties

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Treadmill training in Parkinson's disease:possible role of prefrontal modifications in the improved cortical-subcortical network function

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Neural Regeneration Research 2024年第2期19卷 407-408页

作者： Hao Ding Amgad Droby Abdul Rauf anwar Jeffrey m.Hausdorff Bahman Nasseroleslami Anat mirelman Inbal maidan muthuraman muthuraman Department of Neurology University Hospital WürzburgWürzburgGermany Academic Unit of Neurology Trinity College Dublinthe University of DublinDublinIreland Department of Neurology Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Sagol School of Neuroscience Tel Aviv UniversityTel AvivIsrael Biomedical Engineering Centre UET Lahore(KSK Campus)LahorePakistan Laboratory for Early markers of Neurodegeneration(LEmON) Center for the Study of MovementCognitionand Mobility(CMCM)Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael Department of Physical Therapy Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Rush Alzheimer’s Disease Center and Department of Orthopaedic Surgery Rush University Medical CenterChicagoILUSA

Parkinson’s disease(PD)is a complex neurodegenerative disorder characterized by a range of motor symptoms such as bradykinesia,resting tremor,rigidity,and postural instability,as well as non-motor symptoms,such as de... 详细信息

关键词： rigidity fatigue

Cost-Efficient medium Frequency Propagation Research with Software Defined Radio

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World Journal of Engineering and Technology 2024年第1期12卷 158-169页

作者： Casey m. Hess Sohail anwar Division of Business Engineering and Information Sciences and Technology Department of Electromechanical Engineering Technology Pennsylvania State University Altoona Campus Altoona Pennsylvania USA Division of Business Engineering and Information Sciences and Technology Department of Engineering Pennsylvania State University Altoona Campus Altoona Pennsylvania USA

medium Frequency radio holds significance in modern society as it supports broadcasting and individual communications in the public, government, and military sectors. Enhancing the availability and quality of these communications is only possible by enhancing the understanding of medium frequency propagation. While traditional methods of radio wave propagation research can have a high material demand and cost, software defined radio presents itself as a versatile and low-cost platform for medium frequency signal reception and data acquisition. This paper details a research effort that utilizes software defined radio to help characterize medium frequency signal strength in relation to ionospheric and solar weather propagation determinants. Signal strength data from seven medium frequency stations of unique transmission locations and varying transmission powers were retrieved in 24-hour segments via a receiving loop antenna, Airspy HF+ Discovery software defined radio, and SDR Sharp software interface network. Retrieved data sets were visualized and analyzed in mATLAB for the identification of signal strength trends, which were subsequently compared to historical ionospheric and space weather indices in pursuit of a quantifiable correlation between such indices and medium frequency signal strengths. The results of the investigation prove that software defined radio, when used in conjunction with a receiving antenna and data analysis program, provides a versatile mechanism for cost-efficient propagation research.

关键词： Ionosphere Space Weather Airspy SDR SDR Sharp mATLAB Analysis

Crystallization of battery-grade lithium carbonate with high recovery rate via solid-liquid reaction

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颗粒学报（英文版） 2024年第9期92卷 95-105页

作者： Chaofan Wu Longjin Jiang Wei Wang Bin Dong Zhidong Chang Daixiang Wei Hira anwar minghui Zhang Dekun Gao School of Chemistry and Biological Engineering University of Science and Technology BeijingBeijing100083China Anhui Chaoyue Environmental Protection Technology Co. LtdChuzhou239060China State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing100190China Anhui Huihong Technology Co. LtdChuzhou239060China

Lithium carbonate(Li2CO3)stands as a pivotal raw material within the lithium-ion battery ***,we propose a solid-liquid reaction crystallization method,employing powdered sodium car-bonate instead of its solution,which minimizes the water introduction and markedly elevates one-step lithium recovery *** kinetic calculations,the Li2CO3 solid-liquid reaction crystallization pro-cess conforms by the Avrami equation rather than shrinking core model,which means the dissolution rate of Na2CO3 is the most important factor affecting the reaction *** effects of reaction con-ditions such as temperature and stirring speed on the Li2CO3 precipitation behavior were *** results indicated that temperature is a most essential parameter than other reaction conditions or stir-ring *** exceptional 93％recovery of Li2CO3 at 90 ℃ with a remarkable purity of 99.5％was achieved by using 1.2 m ratio of Na2CO3/*** method provides a new idea for the efficient preparation of battery-grade Li2CO3.

关键词： Battery-grade lithium carbonate Lithium recovery Lithium sulfate Reaction crystallization

Survey of Indoor Localization Based on Deep Learning

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Computers, materials & Continua 2024年第5期79卷 3261-3298页

作者： Khaldon Azzam Kordi mardeni Roslee mohamad Yusoff Alias Abdulraqeb Alhammadi Athar Waseem anwar Faizd Osman Centre for Wireless Technology Faculty of EngineeringMultimedia UniversityCyberjaya63100Malaysia Communication Systems&Networks Research Lab Malaysia-Japan International Institute of TechnologyUniversiti Teknologi MalaysiaKuala Lumpur54100Malaysia Department of Electrical Engineering(DEE) International Islamic UniversityIslamabad44000Pakistan Rohde&Schwarz(m)Sdn Bhd Shah Alam40150Malaysia

This study comprehensively examines the current state of deep learning (DL) usage in indoor *** emphasizes the significance and efficiency of convolutional neural networks (CNNs) and recurrent neuralnetworks (RNNs). Unlike prior studies focused on single sensor modalities like Wi-Fi or Bluetooth, this researchexplores the integration of multiple sensor modalities (e.g.,Wi-Fi, Bluetooth, ultra-Wideband, ZigBee) to expandindoor localization methods, particularly in obstructed environments. It addresses the challenge of precise objectlocalization, introducing a novel hybrid DL approach using received signal information (RSI), Received SignalStrength (RSS), and Channel State Information (CSI) data to enhance accuracy and stability. moreover, thestudy introduces a device-free indoor localization algorithm, offering a significant advancement with potentialobject or individual tracking applications. It recognizes the increasing importance of indoor positioning forlocation-based services. It anticipates future developments while acknowledging challenges such as multipathinterference, noise, data standardization, and scarcity of labeled data. This research contributes significantly toindoor localization technology, offering adaptability, device independence, and multifaceted DL-based solutionsfor real-world challenges and future advancements. Thus, the proposed work addresses challenges in objectlocalization precision and introduces a novel hybrid deep learning approach, contributing to advancing *** deep learning-based indoor localization techniques have improved accuracy, challenges likedata noise, standardization, and availability of training data persist. However, ongoing developments are expectedto enhance indoor positioning systems to meet real-world demands.

关键词： Deep learning indoor localization wireless-based localization

Relationship between Seed Priming mediated Seedling Vigor and Yield Performance of Spring Wheat

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Phyton-International Journal of Experimental Botany 2024年第6期93卷 1159-1177页

作者： md.Parvez anwar masuma Akhter Sharmin Aktar Sinthia Afsana Kheya A.K.m.mominul Islam Sabina Yeasmin Ahmed Khairul Hasan md.Harun Or Rashid Department of Agronomy Bangladesh Agricultural UniversityMymensingh2202Bangladesh

Seed priming is a pre-germinated technique that can enhance seed germination percentage,faster and synchro-nized germination,better seedling growth,and yield under stress *** ascertain the most effective seed priming method that would ensure the potential yield of wheat in Bangladesh,two experiments were carried out from December 2021 to march 2022 at the Department of Agronomy,Bangladesh Agricultural *** wheat varieties namely BARI Gom-28 and BWmRI Gom-1 were subjected to a range of priming chemicals in both lab and pot *** compounds included the following:control(no priming),hydropriming(distilled water),10000 ppm KNO_(3),15000 ppm KNO_(3),40000 ppm mannitol,60000 ppm mannitol,10000 ppm NaCl,20000 ppm NaCl,100 ppm PEG,150 ppm PEG,500 ppm NaOCl,1000 ppm NaOCl,10000 ppm CaCl_(2),20000 ppm CaCl_(2),10000 ppm KCl and 20000 ppm KCl.A complete randomized design(CRD)with three repli-cations was used to set up the *** results showed that BARI Gom-28 and BWmRI Gom-1 responded best to KCl priming in terms of rapid seed germination and strong seedling *** the other hand,the best priming agents for plant growth and productivity turned out to be CaCl_(2) and *** results of this study support the possibility of using seed priming as a technique to improve wheat plant development and output by raising seed emergence and survival rates.

关键词： Priming seedling percentage germination growth yield wheat

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： m.Adimoolam K.maithili N.m.Balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan mohd Anul haq Ilyas Khan ElSayed m.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using machine Learning(mL)and Deep Learning(DL)*** various mL and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

Exogenous application of bio-stimulants and growth retardants improve nutrient absorption and fiber quality in upland cotton

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Journal of Cotton Research 2024年第2期7卷 137-147页

作者： Al-Khayri Jameel m. Arif muhammad Kareem Shadia Hama Salih anwar Adeel Dehghanisanij Hossein Emami Somayeh Yasmeen Azra Aftab Komal Negm mohamed Department of Agricultural Biotechnology College of Agriculture and Food SciencesKing Faisal University31982 Al‑AhsaSaudi Arabia Water Resources Zone Irrigation Department PunjabD.G.KhanPakistan Department of Biotechnology and Crop Science College of Agricultural Engineering SciencesUniversity of SulaimaniSulaimaniIraq Department of Agronomy PMAS-Arid Agriculture UniversityRawalpindiPakistan Agricultural Research Education and Extension OrganizationAgricultural Engineering Research InstituteKarajAlborzIran Department of Water Engineering University of TabrizTabrizIran Department of Agronomy Bahauddin Zakariya UniversityMultanPakistan Department of Plant Breeding and Genetics Bahauddin Zakariya UniversityMultanPakistan Agricultural Research Center Cotton Research InstituteGiza 12619Egypt

Background Natural and synthetic plant growth regulators are essential for plant health,likewise these regulators also play a role in increasing organic production productivity and improving quality and yield *** the present study,we have evaluated the effects of foliar applied plant growth regulators,i.e.,moringa leaf extract(mLE)and mepiquat chloride(mC)alone and in combination mC and mLE on the conventional cotton cultivar(CIm 573)and transgenic one(CIm 598).The growth regulators were applied at the start of bloom,45 and 90 days after *** The application of mC and mLE at 90 days after blooming significantly improved the relative growth rate,net assimilation rate,the number of bolls per plant,and seed cotton ***,the combined application of mLE and mC at 90 days after blooming significantly boosted the nitrogen uptake in locules,as well as the phosphorus and potassium uptake in the leaves of both cotton *** application of mLE alone has considerably improved the nitrogen uptake in leaves,and phosphorus and potassium contents in locules of Bt and conventional cotton ***,Bt cotton treated with mLE at 90 days after blooming produced significantly higher ginning out turn and oil *** in combination(mLE+mC)at 90 days after blooming produced considerably higher micronaire value,fiber strength,and staple length in conventional *** The natural growth enhancer,mLE is a rich source of minerals and zeatin,improving the nutrient absorption and quality of cotton fiber in both conventional and Bt cotton cultivars.

关键词： Bio-stimulant Cotton Fiber quality mepiquat chloride moringa leaf extract Potassium accumulation Oil contents