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An efficient CNN-Based Automated Diagnosis Framework from COVID-19 CT Images

Computers, materials & Continua 2021年第10期69卷 1323-1341页

作者： Walid el-Shafai Noha A.el-Hag Ghada m.el-Banby Ashraf A.m.Khalaf Naglaa F.Soliman Abeer D.Algarni fathi e.abd el-samie Department electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of electronics and electrical Communications Faculty of EngineeringMinia UniversityEgypt Department of Industrial electronics and Control engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Corona Virus Disease-2019(COVID-19)continues to spread rapidly in the *** has dramatically affected daily lives,public health,and the world *** paper presents a segmentation and classification framework of COVID-19 images based on deep ***,the classification process is employed to discriminate between COVID-19,non-COVID,and pneumonia by Convolutional Neural Network(CNN).Then,the segmentation process is applied for COVID-19 and pneumonia CT ***,the resulting segmented images are used to identify the infected region,whether COVID-19 or *** proposed CNN consists of four Convolutional(Conv)layers,four batch normalization layers,and four Rectified Linear Units(RelUs).The sizes of Conv layer used filters are 8,16,32,and *** maxpooling layers are employed with a stride of 2 and a 2×2 *** classification layer comprises a Fully-Connected(FC)layer and a soft-max activation function used to take the classification decision.A novel saliencybased region detection algorithm and an active contour segmentation strategy are applied to segment COVID-19 and pneumonia CT *** acquired findings substantiate the efficacy of the proposed framework for helping the specialists in automated diagnosis applications.

关键词： Classification segmentation COVID-19 CNN deep learning diagnosis applications

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Plant phosphatidylinositol-specific phospholipase C at the center of plant innate immunity

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Journal of Integrative Plant Biology 2017年第3期59卷 164-179页

作者： Ahmed m.abd-el-Haliem matthieu H.A.J.Joosten Laboratory of Phytopathology Wageningen University Droevendaalsesteeg 1 6708 PB Wageningen The Netherlands Plant Physiology Swammerdam Institute for Life Sciences University of Amsterdam Science Park 904 1098 XH Amsterdam The Netherlands

Understanding plant resistance to pathogenic microbes requires detailed information on the molecular mechanisms controlling the execution of plant innate immune responses. A growing body of evidence places phosphoinositide-specific phospholipase C （PI-PLC） en- zymes immediately downstream of activated immune receptors, well upstream of the initiation of early defense responses. An increase of the cytoplasmic levels of free Ca2＋, lowering of the intercellular pH and the oxidative burst are a few examples of such responses and these areregulated by PI-PLCs. Consequently, PI-PLC activation represents an early primary signaling switch between elicitation and response involving the controlled hydrolysis of essential signaling phospholipids, thereby simulta- neously generating lipid and non-lipid second messenger molecules required for a swift cellular defense response. Here, we elaborate on the signals generated by PI-PLCs and their respective downstream effects, while providing an inventory of different types of evidence describing the involvement of PI-PLCs in various aspects of plant immunity. We project the discussed information into a model describing the cellular events occurring after the activation of plant immune receptors. With this review we aim to provide new insights supporting future research on plant PI-PLCs and the development of plants with improved resistance.

关键词： Pradeep Kachroo University of Kentucky USA

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An efficient medical Image Deep Fusion model Based on Convolutional Neural Networks

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Computers, materials & Continua 2023年第2期74卷 2905-2925页

作者： Walid el-Shafai Noha A.el-Hag Ahmed Sedik Ghada elbanby fathi e.abd el-samie Naglaa F.Soliman Hussah Nasser Aleisa mohammed e.abdel samea Department of electronics and electrical Communications engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security engineering Laboratory Department of Computer SciencePrince Sultan UniversityRiyadh11586Saudi Arabia Higher Institute of Commercial Science Management Information SystemsEl-Mahala El-KobraEgypt Department of the Robotics and Intelligent machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafr El-SheikhEgypt Department of Industrial electronics and Control engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia medical Imaging and Interventional Radiology National Liver InstituteMenoufia UniversityEgypt

medical image fusion is considered the best method for obtaining one image with rich details for efficient medical diagnosis and *** learning provides a high performance for several medical image analysis *** paper proposes a deep learning model for the medical image fusion *** model depends on Convolutional Neural Network(CNN).The basic idea of the proposed model is to extract features from both CT and mR ***,an additional process is executed on the extracted *** that,the fused feature map is reconstructed to obtain the resulting fused ***,the quality of the resulting fused image is enhanced by various enhancement techniques such as Histogram matching(Hm),Histogram equalization(He),fuzzy technique,fuzzy type,and Contrast Limited Histogram equalization(CLAHe).The performance of the proposed fusion-based CNN model is measured by various metrics of the fusion and enhancement *** realistic datasets of different modalities and diseases are tested and ***,real datasets are tested in the simulation analysis.

关键词： Image fusion CNN deep learning feature extraction evaluation metrics medical diagnosis

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A concise review on surface and structural modification of porous zeolite scaffold for enhanced hydrogen storage

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Chinese Journal of Chemical engineering 2024年第6期70卷 33-53页

作者： B.A.abdulkadir R.S.R.mohd Zaki A.T.abd Wahab S.N.miskan Anh-Tam Nguyen Dai-Viet N.Vo H.D.Setiabudi Centre for Research in Advanced Fluid&Processes Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Faculty of Chemical&Process engineering Technology Universiti Malaysia Pahang Al-Sultan AbdullahLebuh Persiaran Tun Khalil YaakobGambangPahang 26300Malaysia Center of excellence for Green energy and environmental Nanomaterials(Ce@GreeN) Nguyen Tat Thanh University300A Nguyen Tat ThanhDistrict 4Ho Chi Minh City 755414Viet Nam

Investigating zeolites as hydrogen storage scaffolds is imperative due to their porous nature and favorable physicochemical ***,the storage capacity of the unmodified zeolites has been rather unsatisfactory(0.224%-1.082%(mass))compared to its modified ***,the contemporary focus on enhancing hydrogen storage capacities has led to significant attention towards the utilization of modified zeolites,with studies exploring surface modifications through physical and chemical treatments,as well as the integration of various active *** enhanced hydrogen storage properties of zeolites are attributed to the presence of aluminosilicates from alkaline and alkaline-earth metals,resulting in increased storage capacity through interactions with the charge density of these ***,there is a great demand to critically review their role such as well-defined topology,pore structure,good thermal stability,and tunable hydrophilicity in enhanced hydrogen *** article aimed to critically review the recent research findings based on modified zeolite performance for enhanced hydrogen *** of the factors affecting the hydrogen storage capacities of zeolites that can affect the rate of reaction and the stability of the adsorbent,like pressure,structure,and morphology were studied,and ***,future perspectives,recommendations,and directions for modified zeolites were discussed.

关键词： Zeolites Hydrogen storage Surface modification Adsorption Active metal

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evolution of the“ancient Kedah”:A study on urban forms at Sungai Batu Archaeological Complex(SBAC),Bujang Valley,Kedah,malaysia

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Frontiers of Architectural Research 2024年第1期13卷 127-143页

作者： mohd Hasfarisham.abd Halim Naizatul Akma mohd mokhtar Nor Khairunnisa Talib Shyeh Sahibul Karamah masnan Ahmad Fadly Jusoh mokhtar Saidin Kedah Malaysia Universiti Utara malaysia KedahMalaysia Universiti Sains malaysia PenangMalaysia

Archaeological research at the Sungai Batu Archaeological Complex(SBAC),which has been carried out until 2023,aims to complete the chronological data and urbanization process of the ancient *** study will especially prove that the ongoing urbanization process is aimed at developing the iron smelting industry and trade in ancient Kedah,especially in *** is because archaeological research at SBAC has proven that with the existence of the ancient Kedah iron smelting workshop at SBAC,river jetties,port management,rituals,and Buddhist monuments began to be erected,all of which can be determined by chronometric *** results of the chronometric dating have proven that the ancient Kedah Kingdom existed since the 6th century BC and was oriented towards the trade of iron resources,which allowed the use of the area to grow *** process of urbanization and land use clearly conforms to Lynch’s principle,which emphasizes the principles of 1)paths,2)edges,3)districts,4)nodes,and 5)landmarks in the development process of land use and urbanization in the complex.

关键词： Chronometric dating Urbanization Land use monument Iron smelting site

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Nutritional and therapeutic benefits of coconut milk and its potential as a plant-based functional yogurt alternative: a review

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Food Science and Human Wellness 2024年

作者： Gengghatarani Gengan Nurul Solehah mohd Zaini Nazamid Saari Anis Shobirin meor Hussin Ahmad Haniff Jaafar Hanan Hasan elicia Jitming Lim Wan abd Al Qadr Imad Wan-mohtar muhamad Hafiz abd Rahim Functional Omics and Bioprocess Development Laboratory， Institute of Biological Sciences， Faculty of Science， Universiti malaya Faculty of Food Science and Technology， Universiti Putra malaysia School of Life and environmental Sciences， The University of Sydney

Plant-based milks are on the rise due to an increased awareness of their sustainability and health benefits. Currently， dairy milk is the most nutritionally complete beverage， but it suffers from the presence of indigestible lactose and allergenic proteins. Coconut milk has been around for a long time， but its application is limited due to a perceived lack of specific nutrients， high saturated fat levels， and low acceptability. Recent evidence indicates， however， that the saturated fat and other plant-based components found in coconut milk are good for metabolic outcomes and brain health. The conversion of coconut milk to yoghurt will further improve its functionality by boosting its existing nutritional qualities. In this article， the nutritional value of coconut milk， as well as its potential downsides， its application as yoghurt， and suggestions for enhancing its nutritional functionality will be examined.

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enhanced quantum resources via two distant atom-cavity systems under the influence of atomic dissipation

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Communications in Theoretical Physics 2024年第2期76卷 62-73页

作者： m Setodeh Kheirabady m K Tavassoly m Rafeie e Ghasemian Laser and Optics Group Faculty of PhysicsYazd UniversityYazd 89195-741Iran Department of electrical engineering Faculty of Intelligent Systems Engineering and Data SciencePersian Gulf UniversityBushehrIran

Quantum resources such as entanglement and coherence are the holy grail for modern quantum technologies. Although the unwanted environmental effects tackle quantum information processing tasks, suprisingly these key quantum resources may be protected and even enhanced by the implementation of some special hybrid open quantum systems. Here, we aim to show how a dissipative atom-cavity-system can be accomplished to generate enhanced quantum *** do so, we consider a couple of dissipative cavities, where each one contains two effective two-level atoms interacting with a single-mode cavity field. In practical applications, a classical laser field may be applied to drive each atomic subsystem. After driving the system, a Bell-state measurement is performed on the output of the system to quantify the entanglement and coherence. The obtained results reveal that the remote entanglement and coherence between the atoms existing inside the two distant cavities are not only enhanced, but can be stabilized, even under the action of dissipation. In contrast, the local entanglement between two atoms inside each dissipative cavity attenuates due to the presence of unwanted environmental ***, the local coherence may show the same behavior as the remote ***, the system provides the steady state entanglement in various interaction regimes,particularly in the strong atom-cavity coupling and with relatively large detuning. more interestingly, our numerical analyses demonstrate that the system may show a memory effect due to the fact that the death and revival of the entanglement take place during the interaction. Our proposed model may find potential applications for the implementation of long distance quantum networks. In particular, it facilitates the distribution of quantum resources between the nodes of large-scale quantum networks for secure communication.

关键词： remote entanglement and coherence atomic dissipation steady state entanglement Bell-statemeasurement

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Converting TRex-RGB green-channel data to 557.7 nm auroral intensity:methodology and initial results

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earth and Planetary Physics 2024年第1期8卷 258-274页

作者： Jun Liang D.m.Gillies e.Spanswick e.F.Donovan University of Calgary CalgaryT2N 1N4Canada

The recently deployed Transition Region explorer(TRex)-RGB(red-green-blue)all-sky imager(ASI)is designed to capture“true color”images of the aurora and *** the 557.7 nm green line is usually the brightest emission line in visible auroras,the green channel of a TRex-RGB camera is usually dominated by the 557.7 nm *** this rationale,the TRex mission does not include a specific 557.7 nm imager and is designed to use the RGB green-channel data as a proxy for the 557.7 nm *** this study,we present an initial effort to establish the conversion ratio or formula linking the RGB green-channel data to the absolute intensity of 557.7 nm auroras,which is crucial for quantitative uses of the RGB *** illustrate two approaches:(1)through a comparison with the collocated measurement of green-line auroras from the TRex spectrograph,and(2)through a comparison with the modeled green-line intensity according to realistic electron precipitation flux measurements from low-earth-orbit satellites,with the aid of an auroral transport *** demonstrate the procedures and provide initial results for the TRex-RGB ASIs at the Rabbit Lake and Lucky Lake *** RGB response is found to be *** conversion ratios or formulas between RGB green-channel data and the green-line auroral intensity are given and can be applied immediately by TRex-RGB data *** methodology established in this study will also be applicable to the upcoming SmILe ASI mission,which will adopt a similar RGB camera system in its deployment.

关键词： TRex RGB green-line aurora auroral transport model

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Does dutasteride reduce the bleeding in transurethral resection of the prostate in patients on antiplatelet drugs?

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Current Urology 2024年第3期18卷 194-198页

作者： Ahmed m.Rammah Alaa meshref ebram Soliman Islam Nasser abd elaziz enmar Habib Ahmed Yehia abdelaziz Ahmed H.Abozamel Department of Urology Kasr Alainy HospitalFaculty of MedicineCairo UniversityCairoEgypt el Sahel Teaching Hospital CairoEgypt

Background The aim of this study was to assess the effect of a 4-week dutasteride treatment on reducing the intraoperative and postoperative bleeding,as well as the amount and duration of irrigation required to clear the urine after transurethral resection of the prostate(TURP)≥50 g in men receiving the antiplatelet drug(APD).materials and methods This double-blind randomized clinical trial included patients with a prostate size≥50 g who were indicated for TURP and were already receiving *** study was conducted in the Urology Department of Cairo University over a 12-month *** preoperative laboratory investigations were performed in all ***,baseline prostate size,serum prostate-specific antigen level,and International Prostate Symptom Score were *** patients were randomly divided into 2 equal groups(groups A and B).Group A,the dutasteride group,received dutasteride(0.5 mg)once daily for 4 *** B,the placebo group,received a placebo capsule once daily for 4 *** groups underwent bipolar *** patients were excluded from the study;9 patients from group A and 6 patients from group B,either due to drug intolerability or loss *** The mean blood loss was insignificant between the 2 groups immediately after and 24 hours after surgery(Δhemoglobin:1.41±0.63 g/dL vs.1.48±0.54 g/dL,2.12±0.70 g/dL vs.2.31±0.78 g/dL,respectively,p=0.631,p=0.333;Δhematocrit:2.97%±1.51%vs.3.16%±1.36%,4.96%±1.87%vs.5.73%±4.39%,respectively,p=0.610,p=0.380).However,there were significant differences in duration of indwelling urethral catheter(5.10±0.55 days vs.5.80±1.79 days,p=0.048),duration of bladder irrigation(13.60±2.85 hours vs.16.33±6.62 hours,p=0.044),and the amount of saline used for bladder irrigation(11.03±2.30 L vs.13.87±6.13 L,p=0.046)between group A and group *** Treatment with dutasteride for 4 weeks before TURP in men receiving APD did not significantly reduce intraoperative or postoperativ

关键词： Dutasteride Transurethral resection of the prostate Postprostatectomy bleeding Antiplatelet drugs

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An efficient Breast Cancer Detection Framework for medical Diagnosis Applications

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Computers, materials & Continua 2022年第1期70卷 1315-1334页

作者： Naglaa F.Soliman Naglaa S.Ali mahmoud I.Aly Abeer D.Algarni Walid el-Shafai fathi e.abd el-samie Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of electronics and Communications Faculty of EngineeringZagazig UniversityZagazig44519Egypt International Academy for engineering and media Science October CityEgypt Department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Breast cancer is themost common type of cancer,and it is the reason for cancer death toll in women in recent *** diagnosis is essential to handle breast cancer patients for treatment at the right *** with mammography is the preferred examination for breast cancer,as it is available worldwide and ***-Aided Detection(CAD)systems are used to analyze medical images to detect breast cancer,*** death rate of cancer patients has decreased by detecting tumors early and having appropriate treatment after *** of mammogram images has four main steps:pre-processing,segmentation of the region of interest,feature extraction and classification of the images into normal or abnormal *** paper presents an efficient framework for processing of mammogram images and introduces an algorithm for segmentation of the images to detect *** pre-processing step of mammogram images includes removal of digitization noise using a 2D median filter,removal of artifacts using morphological operations,and contrast enhancement using a fuzzy enhancement *** proposed fuzzy image enhancement technique is analyzed and compared with conventional techniques based on an enhancement measure(eme)and local contrast *** comparison shows an outstanding performance of the proposed technique from the visual and numerical *** segmentation process is performed using Otsu’smultiple thresholding *** method segments the image regions into five classes with variable intensities using four *** effectiveness is measured based on visual quality of the segmentation output,as it gives details about the image and positions of *** performance of the proposed framework is measured using Dice coefficient,Hausdorff,and Peak Signal-to-Noise Ratio(PSNR)*** segmented tumor region with the proposed segmentation method is 81%of the ground truth region provided by an ***,the proposed framew

关键词： Breast cancer mammogram images CAD contrast enhancement fuzzy logic segmentation

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