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An Improved Lung Cancer Segmentation Based on Nature-Inspired Optimization Approaches

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1051-1075页

作者： Shazia Shamas Surya Narayan Panda Ishu Sharma Kalpna Guleria aman Singh Ahmad Ali AlZubi Mallak Ahmad AlZubi Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpuraPunjab140401India Higher Polytechnic School Universidad Europea del AtlánticoC/Isabel Torres 21Santander39011Spain Department of Engineering Universidad Internacional IberoamericanaAreciboPR00613USA Uttaranchal Institute of Technology Uttaranchal UniversityDehradunUttarakhand248007India Computer Science Department King Saud UniversityRiyadhSaudi Arabia Faculty of Medicine Jordan University of Science and TechnologyIrbidJordan

The distinction and precise identification of tumor nodules are crucial for timely lung cancer diagnosis andplanning intervention. This research work addresses the major issues pertaining to the field of medical imageprocessing while focusing on lung cancer Computed Tomography (CT) images. In this context, the paper proposesan improved lung cancer segmentation technique based on the strengths of nature-inspired approaches. Thebetter resolution of CT is exploited to distinguish healthy subjects from those who have lung cancer. In thisprocess, the visual challenges of the K-means are addressed with the integration of four nature-inspired swarmintelligent techniques. The techniques experimented in this paper are K-means with Artificial Bee Colony (ABC),K-means with Cuckoo Search Algorithm (CSA), K-means with Particle Swarm Optimization (PSO), and Kmeanswith Firefly Algorithm (FFA). The testing and evaluation are performed on Early Lung Cancer ActionProgram (ELCAP) database. The simulation analysis is performed using lung cancer images set against metrics:precision, sensitivity, specificity, f-measure, accuracy,Matthews Correlation Coefficient (MCC), Jaccard, and *** detailed evaluation shows that the K-means with Cuckoo Search Algorithm (CSA) significantly improved thequality of lung cancer segmentation in comparison to the other optimization approaches utilized for lung cancerimages. The results exhibit that the proposed approach (K-means with CSA) achieves precision, sensitivity, and Fmeasureof 0.942, 0.964, and 0.953, respectively, and an average accuracy of 93%. The experimental results prove thatK-meanswithABC,K-meanswith PSO,K-meanswith FFA, andK-meanswithCSAhave achieved an improvementof 10.8%, 13.38%, 13.93%, and 15.7%, respectively, for accuracy measure in comparison to K-means segmentationfor lung cancer images. Further, it is highlighted that the proposed K-means with CSA have achieved a significantimprovement in accuracy, hence can be utilized by resea

关键词： Lesion lung cancer segmentation medical imaging meta-heuristic Artificial Bee Colony(ABC) Cuckoo Search Algorithm(CSA) Particle Swarm Optimization(PSO) Firefly Algorithm(FFA) segmentation

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Method of Crack Formation Analysis Based on Mechanoluminecence

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Materials Sciences and Applications 2012年第10期3卷 739-744页

作者： Sergej aman Alexander aman Juergen Tomas Mechanical Process Engineering Otto-von-Guericke University MagdeburgMagdeburgGermany

This paper presents the method of monitoring of cracks formation based on analysis of light impulses that appear during the cracks formation. The light impulses appear simultaneously in the ultraviolet (UV) and near-infrared (NIR) wave-length ranges. However, during the plastic deformation, where the building of micro cracks with narrow width is dominant, the light appears frequently in the UV-wavelength range. With the cracks growth the width become wide-ranging and the spectrum of light shifts to the NIR-wavelength range. This spectral shift was used to estimate the stage of cracks formation as degree of damage. The fracture of tested material can be predicted based on estimated degree of damage.

关键词： Crack Light Impulses Fracture Spectral Shift

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CHD4-induced up-regulation of ERα activity contributes to breast cancer progression

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Genes & Diseases 2024年第3期11卷 132-135页

作者： aman Sattout Xiaomin Yu Zhuo Sun Yanan Li Yulin Li Shujing Li Wei Huo Huijian Wu School of Bioengineering&Key Laboratory of Protein Modification and Disease Liaoning ProvinceDalian University of TechnologyDalianLiaoning 116024China Department of Oncology Central Hospital Affiliated with Dalian University of TechnologyDalianLiaoning 116089China

The estrogen signaling system is a crucial regulator of ***,abnormal activation of estrogen signaling may play a role in breast cancer initiation and *** to this pathway is the interaction between estrogen receptor alpha(ERa)and various co-transcription activators.1 Although numerous studies have investigated ER coregulators,the protein-protein interaction networks of ERa are not fully *** research has shown that high chromodomain helicase DNA-binding 4(CHD4)expression is linked to poor prognosis in various cancers.2,?In this study,we demonstrated that both CHD4 and ERαcontribute to breast cancer progression while providing evidence of the regulatory processes and functional interplay between these two proteins.

关键词： breast cancer ERα

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Foliar spraying of chlorpyrifos induces morphometric changes in Glycine max(L.)and shifts native soil microbiome

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Emerging Contaminants 2024年第3期10卷 86-102页

作者： aman Raj Muneer Ahmad Malla Ashwani Kumar Pramod Kumar Khare Sheena Kumari Metagenomics and Secretomics Research Laboratory Department of BotanyDr.Harisingh Gour University(A Central University)Sagar470003M.P.India Institute for Water and Wastewater Technology Durban University of TechnologyDurban4001South Africa Metagenomics and Secretomics Research Laboratory Department of BotanyUniversity of Allahabad(A Central University)Prayagraj211002U.P.India Department of Botany Ecology laboratoryDr.Harisingh Gour Vishwavidyalaya(A Central University)SagarMadhya Pradesh470003India

Pesticide usage alters plant growth,and development and disturbs native soil *** present study was carried out to evaluate the effect of Chlorpyrifos(CP-20%EC)on the growth and development of soybean(Glycine max),soil fertility,and soil *** conducted a pot experiment to assess the impact of different concentrations of chlorpyrifos;recommended dose(RD)and higher dose rates(2×and 4×RD).Chlorpyrifos application significantly altered the growth parameters in soybean(p<0.05).At higher concentrations(2×and 4×RD)shoot length(17.16±1.04;14.33±1.15,p<0.05),root length(3.40±0.36;2.66±0.28,p<0.050),leaf count(6.33±0.57;2.66±0.57;p<0.05)reduced significantly compared to RD and Control *** at these concentrations(2×and 4×RD),significant reduction in fresh shoot weight(0.86±0.008;0.66±0.002,p<0.05),dry shoot weight(0.14±0.001;0.13±0.003,p<0.05)and root fresh weight(0.13±0.001;0.09±0.003,p<0.05)and root dry weight(0.030±0.0005,0.037±0.003,p<0.05)was observed compared to the RD and control ***,a significant increase in root and shoot morphometric parameters was observed in RD compared to control(p<0.05).All the physio-chemical properties such as pH(8.51±0.82),moisture content(33.73±0.04),and electrical conductivity(3.44±0.03)were higher in CP-treated soils compared to ***,nutrient content such as nitrogen,carbon,and hydrogen were significantly reduced in treated soils compared to *** analysis showed higher concentrations of As,Cd,and Pb in CP-treated soil(8.7 mg/g,0.254 mg/g,and 16.477 mg/g,respectively)compared to untreated soil(8.09 mg/g,0.228 mg/g,and 15.25 mg/g,respectively).We also assessed soil metabolic activity and diversity using Community-level Physiological Profiling(CLPP).CP-treated soil exhibited significantly lesser microbial diversity,with lesser metabolic *** analysis revealed a shift in bacterial community composition,with Pseudomonadota and Bacteroidota dominating CP-treated s

关键词： Chlorpyrifos Glycine max Proline Metabolic activity CLPP Metagenomics Bacterial microbiome

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Real-Time Multi-Class Infection Classification for Respiratory Diseases

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Computers, Materials & Continua 2022年第11期73卷 4157-4177页

作者： Ahmed El.Shafee Walid El-Shafai Abdulaziz Alarifi Mohammed Amoon aman Singh Moustafa H.Aly Department of Electrical Engineering Faculty of EngineeringAhram Canadian UniversityGizaEgypt Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoSantander39011Spain Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

Real-time disease prediction has emerged as the main focus of study in the field of computerized *** disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable,consistent,and timely,successfully lowering mortality rates,particularly during endemics and *** prevent this pandemic’s rapid and widespread,it is vital to quickly identify,confine,and treat affected *** need for auxiliary computer-aided diagnostic(CAD)systems has *** recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 *** advanced convolutional neural network(CNN)architectures in conjunction with radiological imaging makes it possible to provide rapid,accurate,and extremely useful susceptible *** research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona *** purpose of this study is to offer a two-way COVID-19(2WCD)diagnosis prediction deep learning system that is built on Transfer Learning Methodologies(TLM)and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures.2WCD has applied modifications to pre-trained models for better *** is designed and implemented to improve the generalization ability of the classifier for binary and multi-class *** with the ability to differentiate COVID-19 and No-Patient in the binary class model and COVID-19,No-Patient,and Pneumonia in the multi-class model,our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient’s lung in a recognizable color *** proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic *** can also be used to forecast other lung-related *** the system can assist medical practitioner

关键词： COVID-19 real-time computerized disease prediction intelligent disease identification framework CAD systems X-rays CT-scans CNN real-time detection of COVID-19 infections

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Enhanced visible green and 1.5μm radiative emission of Er^(3+)ions in Li_(2)O-PbO-Al_(2)O_(3)-B_(2)O_(3) glasses for photonic applications

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Journal of Rare Earths 2021年第5期39卷 520-525页

作者： Nisha Deopa Mukesh K.Sahu Sumandeep Kaur aman Prasad K.Swapna Vinay Kumar R.Punia A.S.Rao Department of Physics Chaudhary Ranbir Singh UniversityRohtak Bypass RoadJind126102HaryanaIndia Department of Applied Physics Delhi Technological UniversityBawana RoadNew Delhi110042India Department of Physics K L Educational FoundationVaddeswaram522502Guntur(Dt.)Andhra PradeshIndia Department of Electronics and Communication Engineering Graphic Era(Deemed to be University)Dehradun248002UttrakhandIndia

A series of Er^(3+)ions doped lithium lead alumino borate(LiPbAlB)glasses were synthesized via melt quench method and their structural,physical and optical properties were ***-Ofelt theory in correlation with the emission and absorption profiles was performed for the measurement of various radiative parameters for different transitions of Er^(3+)doped *** as-prepared glasses show deep green(550 nm)as well as NIR(1532 nm)emission at 380 and 980 nm excitation wavelengths,*** intensity of emission spectra increases with Er^(3+)ions concentration up to 1.5 mol%and beyond quenching is *** Dexter theory applied to the emission profiles reveals the interaction between Er^(3+)ions as dipole-dipole in *** color coordinates are found to fall in the green region of the visible *** is observed that 1.5 mol%of Er^(3+)ions concentration is optimum to exhibit the maximum quantum efficiency,branching ratios,gain bandwidth,emission cross-section,gain crosssection and aptly suitable for visible and NIR photonic applications.

关键词： Rare earths Glasses Judd-Ofelt theory Photoluminescence Dexter theory

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Outcomes of curative liver resection for hepatocellular carcinoma in patients with cirrhosis

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World Journal of Gastrointestinal Oncology 2021年第5期13卷 424-439页

作者： Omar Elshaarawy Aya aman Hazem Mohamed Zakaria Talaat Zakareya Asmaa Gomaa Esam Elshimi Eman Abdelsameea Department of Hepatology Gastroenterology and Liver TransplantationNational Liver InstituteMenoufia UniversityShebine Elkom 32511MenoufiaEgypt Department of Hepatobiliary Pancreatic Surgery National Liver InstituteMenoufia UniversityShebine Elkom 32511MenoufiaEgypt

BACKGROUND Given the poor synthetic function of cirrhotic liver,successful resection for patients with hepatocellular carcinoma(HCC)necessitates the ability to achieve resections with tumor free *** To validate post hepatectomy liver failure score(PHLF),compare it to other established systems and to stratify risks in patients with cirrhosis who underwent curative liver resection for *** Between December 2010 and January 2017,120 patients underwent curative resection for HCC in patients with cirrhosis were included,the pre-operative,operative and post-operative factors were recorded to stratify patients'risks of decompensation,survival,and *** The preoperative model for end-stage liver disease(MELD)score[odds ratio(OR)=2.7,95%CI:1.2-5.7,P=0.013],tumor diameter(OR=5.4,95%CI:2-14.8,P=0.001)and duration of hospital stay(OR=2.5,95%CI:1.5-4.2,P=0.001)were significant independent predictors of hepatic decompensation after *** the preoperative MELD score[hazard ratio(HR)=1.37,95%CI:1.16-1.62,P<0.001]and different grades of PHLF(grade A:HR=2.33,95%CI:0.59-9.24;Grade B:HR=3.15,95%CI:1.11-8.95;Grade C:HR=373.41,95%CI:66.23-2105.43;P<0.001)and HCC recurrence(HR=11.67,95%CI:4.19-32.52,P<0.001)were significant independent predictors for *** Preoperative MELD score and tumor diameter can independently predict hepatic ***,preoperative MELD score,different grades of PHLF and HCC recurrence can precisely predict survival.

关键词： Cirrhosis Liver Resection Scores Hepatocellular carcinoma

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Effect of Active Zeolite in the Pyrolysis of Polypropylene and Low Density Polyethylene Types of Plastic Waste

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Journal of Renewable Materials 2022年第11期10卷 2781-2789页

作者： aman Santoso Amirotus Sholikhah Sumari Sumari Muhammad Roy Asrori Anugrah Ricky Wijaya Rini Retnosari Ihsan Budi Rachman Department of Chemistry Faculty of Mathematics and Natural SciencesUniversitas Negeri MalangMalang65145Indonesia Department of Chemistry Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia UKM BangiSelangor43600Malaysia Graduate School of Engineering and Science Shibaura Institute of TechnologySaitama3378570Japan

Plastic is a basic need for humans,but it has also caused big problems for the ***,the purpose of this study was to determine the effect of the type of plastic and the addition of a zeolite catalyst on the oil yield from the pyrolysis of plastic *** research stages were natural zeolite activation,pyrolysis reactor settings,pyrolysis of plastic waste(PP and LDPE types),and *** results showed that the used natural zeolite had a mordenite phase and activated natural zeolite had a higher Si/Al ratio than the inactivated *** addition of a zeolite catalyst had an effect on the produced *** yields of oil from plastic waste pyrolysis with zeolite catalyst for PP and LDPE plastics were about 75.9 and 76.9 w/w,*** results of the GCMS analysis showed that the compounds of the pyrolysis oil were thought to be from the alkanes,cycloalkanes,alkenes,carboxylic acids with aromatic rings,and *** results of the GC-MS test showed that the uncatalyzed pyrolysis product consists of compounds with a range of C5-C11 carbon ***,the ranges of pyrolysis products with active zeolite catalyst were C6-C24 carbon chains.

关键词： Zeolite catalyst plastic pyrolysis reactor

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Cluster-Based Group Mobility Support for Smart IoT

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Computers, Materials & Continua 2021年第8期68卷 2329-2347页

作者： Kanwal Imran Nasreen Anjum Saeed Mahfooz Muhammad Zubair Zhahoui Yang Abdul Haseeb Malik Qazi Ejaz Ali Madeeha aman Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Computer Science Khushal Khan Khattak UniversityKarak27200Pakistan Department of Informatics King’s College LondonUK

IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)infrastructure and allows mobile nodes to send packets over the IEEE 802.15.4 wireless *** mobility managements schemes have been suggested for handling the registration and handover procedures in ***,these schemes have performance constraints,such as increased transmission cost,signalling overhead,registration,and handover *** address these issues,we propose a novel cluster-based group mobility scheme(CGM6)for *** reduce the signalling cost in the CGM6 scheme,we propose to combine the functions of the Authentication,Authorization and Accounting(AAA)server and Local Mobility Anchor(LMA)in AMAG6(AAA+MAG for 6LoWPAN).AMAG6 acts as a cluster head and exchange its information directly with its neighbouring AMAG6 during the ***,AMAG6 is responsible for the binding and authentication *** reduce the transmission cost,we also propose enhancements in registration and Handover *** performance of CGM6 is evaluated through extensive *** simulation results show that CGM6 has reduced the handoff latency by 32%,registration delay by 11%and transmission cost by 37%compared to the state-of-the-art mobility management schemes.

关键词： 6LoWPAN IoTs mobility management registration handover proxyMIPv6(PMIPv6)

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Structural,magnetic,electrical and microwave properties of spinel ferrites

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Journal of Rare Earths 2022年第3期40卷 443-450,I0003页

作者： Salma aman Naseeb Ahmad M.H.Alhossainy Hind Albalawi Manal Morsi Tahani I.Al-Muhimeed Abeer A.AlObaid Department of Physics Khwaja Fareed University of Engineering and Information TechnologyAbu Dhabi RoadRahim Yar Khan64200Pakistan Department of Physics Faculty of ScienceTaibah UniversityMedinaSaudi Arabia Department of Physics College of SciencePrincess Nourah bint Abdulrahman University11671RiyadhSaudi Arabia Department of Physics College of Arts and SciencePrince Sattam Bin Abdulaziz UniversityRiyadhWadi AddawasirSaudi Arabia Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 22452Riyadh11495Saudi Arabia

The ferrite series having formulation SrYb_(y)Fe_(2-y)O_(4)(y=0.00 to 0.10)were synthesized via the sol-gel *** involvement of the yttrium in the base produces several changes in the structural,magnetic,and electrical performance of the *** of structural parameters was done through X-ray *** samples have cubic structures confirmed from X-ray *** coercivity of sample enlarges with the involvement of Yb-ions while their saturation and remanence magnetization values *** the concentration of Yb-ion increases in the lattice,the real and imaginary values of permittivity *** increased content of Yb enhances the impedance *** analysis of the M vs H loop was finished under the fixed range of−2 to+2 *** using 0.5-12 GHz frequency,the microwave measurements of all the sample were *** dispersion of frequency of ferrites is responsible for the natural magnetic resonance phenomenon and the domain wall *** evaluated features of synthesized sample show their appropriateness for microwave absorption appliances.

关键词： Microwave absorption Dielectric constant Conductivity Magnetization Impedance Rare earths

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