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Pyogenic liver abscess caused by Fusobacterium in a 21-year-old immunocompetent male

World Journal of Gastroenterology 2015年第12期21卷 3731-3735页

作者： Zohair ahmed Saurabh k Bansal Sonu Dhillon Department of Internal Medicine University of Illinois Peoria Campus OSF Saint Francis Medical Center Department of Gastroenterology and Hepatology University of Illinois Peoria Campus OSF Saint Francis Medical Center

A 21-year-old male with no significant past medical history, presented with right upper quadrant(RUQ) abdominal pain along with fevers and chills. Lab work revealed leukocytosis, anemia, and slightly elevated alkaline phosphatase. Viral serology for hepatitis B virus, hepatitis C virus, and human immunodeficiency virus were negative and he was *** tomography imaging revealed hepatic abscesses, the largest measuring 9.5 cm. Empiric antibiotics were started and percutaneous drains were placed in the abscesses. Anaerobic cultures from the abscesses grew Fusobacterium nucleatum. This is a gram negative anaerobic bacteria; a normal flora of the oral cavity. Fusobacterium is most commonly seen in Lemiere's disease, which is translocation of oral bacteria to the internal jugular vein causing a thrombophlebitis and subsequent spread of abscesses. Our patient did not have Lemiere's, and is the first case described of fusobacterium pyogenic liver abscess in a young immunocompetent male with good oral hygiene. This case was complicated by sepsis, empyema, and subsequent abscesses located outside the liver. These abscesses' have the propensity to flare abruptly and can be fatal. This case not only illustrates fusobacterium as a rare entity for pyogenic liver abscess, but also the need for urgent diagnosis and treatment. It is incumbent on physicians to diagnose and drain any suspicious hepatic lesions. While uncommon, such infections may develop without any overt source and can progress rapidly. Prompt drainage with antibiotic therapy remains the cornerstone of therapy.

关键词： Hepatic abscess Pyogenic Fusobacterium Liver Immun

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knowledge and Awareness of Breast Cancer among Young Women in the United Arab Emirates

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Advances in Breast Cancer Research 2016年第4期5卷 163-176页

作者： Moustafa Younis Dania Al-Rubaye Hadeel Haddad ahmed Hammad Manar hijazi College of Medicine University of Sharjah (UOS) Sharjah United Arab Emirates

Background: Breast cancer is the most common cancer among females in the United Arab Emirates (UAE). It carries poor prognosis when detected late. Patients usually present at late stages due to lack of awareness of various aspects of breast cancer. Aim: The objective of this study is to gain insight into the level of knowledge of breast cancer among young adult females in UAE. Methods: A cross-sectional study was conducted among females aged 25 to 45. A total of 492 females were selected using a convenience sampling method. Data were collected through an interview-based questionnaire. Frequency distributions and percentages were used to describe the knowledge tested within the questionnaire. Results: The mean age of the participants was 33.5 years. Almost 27% of our participants received a high school degree. The average total knowledge of our population was 51%. The majority (89%) knew that breast cancer is common and 45% knew that it affects ages above forty. The knowledge of signs and symptoms was 53%, and more than half (57%) knew that the most common presenting sign is a breast lump. The knowledge of risk factors was 43%. Almost 94% knew that cancer can be detected early, and 93% knew that early diagnosis improves outcome. The total knowledge of screening methods was 67%. Conclusion: The study revealed that respondents’ knowledge of breast cancer is less than expected. The increased burden of the disease should be accompanied by powerful means of spreading awareness by implementing campaigns that would improve knowledge deficits.

关键词： Breast Cancer Awareness knowledge Breast Self-Examination Clinical Breast Examination Young Adults UAE

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Escherichia coli-host macrophage interactions in the pathogenesis of inflammatory bowel disease

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World Journal of Gastroenterology 2014年第27期20卷 8751-8763页

作者： ahmed Tawfik Paul k Flanagan Barry J Campbell Department of Gastroenterology Institute of Translational Medicine University of Liverpool

Multiple studies have demonstrated alterations in the intestinal microbial community (termed the microbiome) in Crohn’s disease (CD) and several lines of evidence suggest these changes may have a significant role in disease pathogenesis. In active and quiescent disease, both the faecal and mucosa-associated microbiome are discordant with matched controls with reduced biodiversity, changes in dominant organisms and increased temporal variation described. Mucosa-associated adherent, invasive Escherichia coli (E. coli) (AIEC), pro-inflammatory and resistant to killing by mucosal macrophages, appear to be particularly important. AIEC possess several virulence factors which may confer pathogenic potential in CD. Type-1 pili (FimH) allow adherence to intestinal cells via cell-surface carcinoembryonic antigen-related cell adhesion molecules and possession of long polar fimbrae promotes translocation across the intestinal mucosa via microfold (M)-cells of the follicle-associated epithelium. Resistance to stress genes (htrA, dsbA and hfq) and tolerance of an acidic pH may contribute to survival within the phagolysosomal environment. Here we review the current understanding of the role of mucosa-associated E. coli in Crohn’s pathogenesis, the role of the innate immune system, factors which may contribute to prolonged bacterial survival and therapeutic strategies to target intracellular E. coli.

关键词： Crohn's disease Inflammatory bowel disease Escherichia coli Intra-macrophage survival and replication Phagolysosome Autophagy

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A STUDY OF A FULLY COUPLED TWO-PARAMETER SYSTEM OF SEQUENTIAL FRACTIONAL INTEGRO-DIFFERENTIAL EQUATIONS WITH NONLOCAL INTEGRO-MULTIPOINT BOUNDARY CONDITIONS

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Acta Mathematica Scientia 2019年第4期39卷 927-944页

作者： ahmed ALSAEDI Bashir AHMAD Shorog ALJOUDI Sotiris k. NTOUYAS Nonlinear Analysis and Applied Mathematics (NA AM)-Research Group Department of Mathematics Faculty of Science King Abdulaziz UniversityP.O. Box 80203 Jeddah 21589 Saudi Arabia Department of Mathematics University of Ioannina 451 10 Ioannina Greece Nonlinear Analysis and Applied Mathematics (NA AM)-Research Group Department of Mathematics Faculty of Science King Abdulaziz UniversityP. O. Box 80203 Jeddah 21589 Saudi Arabia

In this article, we discuss the existence and uniqueness of solutions for a coupled two-parameter system of sequential fractional integro-differential equations supplemented with nonlocal integro-multipoint boundary conditions. The standard tools of the fixed-point theory are employed to obtain the main results. We emphasize that our results are not only new in the given configuration, but also correspond to several new special cases for specific values of the parameters involved in the problem at hand.

关键词： Coupled system sequential fractional derivative multi-point integral boundary conditions existence

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Effect of partial blockage of air duct outlet on performance of OWC device

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Journal of Central South University 2012年第3期19卷 748-754页

作者： S.Patel k.Ram M.Rafiuddin ahmed Renewable Energy Research Group University of the South Pacific

The use of a Savonius rotor as turbine for an oscillating water column(OWC) is *** effect of tuning the OWC using turbine duct blockage is also studied for different wave conditions.A horizontal turbine section OWC employing a Savonius rotor was tested by varying the opening of OWC exit(0%,25%,50%,75% and 100%) to study the behavior and performance of the *** OWC model was tested at water depth of 0.29 m at frequencies of 0.8,0.9 and 1.0 Hz while the exit openings are *** static pressure,dynamic pressure,rotational speed of the Savonius rotor and the coefficient of power are presented as *** OWC with exit opening of 25% showed greater performance in terms of rotational speed and CP compared to OWC with other exit opening *** proves the ability of the OWC to be tuned by regulating flow in the turbine duct.

关键词： oscillating water column wave energy converter wells turbine impulse turbine Savonius rotor

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Color-selective holographic retroreflector array for sensing applications

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Light(Science & Applications) 2016年第1期5卷 241-249页

作者： Rajib ahmed Ali k Yetisen Seok Hyun Yun Haider Butt Microengineering and Nanotechnology Laboratory School of EngineeringUniversity of BirminghamBirmingham B152TTUK Harvard Medical School and Wellman Center for Photomedicine Massachusetts General HospitalCambridgeMA 02139USA Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of TechnologyCambridgeMA 02139USA

Corner cube retroreflectors(CCRs)have applications in sensors,image processing,free space communication and wireless *** ability to construct low-loss wavelength filters embedded in CCRs can enable the development of wavelength multiplexing,tunable lasers and photonic integrated *** we created an~10-μm-thick holographic corner cube retroreflector(HCCR)array that acted as a color-selective wavelength filter and diffracted light at broad ***-resolved spectral measurements showed that the Bragg peak of the diffracted light from the HCCR array could be tuned from 460 to 545 nm by varying the incident *** HCCR array also exhibited a wavelength-selective tuning capability based on the rotation angle in the visible *** projected holographic images with the rotational property in the far *** utility of the HCCR was demonstrated as optical temperature and relative humidity sensors that produced a visible colorimetric response for rapid diagnostics.

关键词： Bragg gratings corner cube retroreflectors diffraction optics holography sensors

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Composite Solid Rocket Propellant Based on GAP Polyurethane Matrix with Different Binder Contents

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火炸药学报 2020年第4期43卷 362-367页

作者： Islam kBoshra ahmed Elbeih GUO Lin Mohamed GZaki School of Chemistry and Environment Beihang UniversityBeijing 100191China Military Technical College Kobry ElkobbahCairoEgypt

Different GAP-based CSRP samples with different binder contents were prepared and compared with that of conventional HTPB *** crosslinker mixture of trimethylol propane(TMP)and butane diol(BD)was used in the GAP matrix beside the addition of dibutyltin dilaurate(DBTDL)to ensure cross-linking and curing completion of the prepared *** viscosity and hardness of all prepared formulations were monitored continuously during the curing *** mechanical characteristics of cured samples were *** burning rate at operating pressure and specific impulse were measured,while the theoretical specific impulse(I sp)was calculated by ICT code and compared with the measured *** to the results,DOA was found to be a suitable plasticizer for GAP when using in *** mechanical properties of CSRP with 25%GAP can produce the optimum mechanical behavior,which is close to that of HTPB-based *** optimum GAP-based formulation is one candidate to replace the traditional HTPB-based CSRP with high burning rate for some applications.

关键词： physical chemistry glycidyl azide polymer(GAP) hydroxyl terminated polybutadiene(HTPB) cross-linker mechanical properties

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Covid-19 Detection Using Deep Correlation-Grey Wolf Optimizer

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Computer Systems Science & Engineering 2023年第9期46卷 2933-2945页

作者： k.S.Bhuvaneshwari ahmed Najat ahmed Mehedi Masud Samah H.Alajmani Mohamed Abouhawwash Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Computer Engineering Lebanese French UniversityErbil44001Iraq Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityPO Box 11099Taif21994Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast Lansing48824MIUSA

The immediate and quick spread of the coronavirus has become a life-threatening disease around the *** widespread illness has dramatically changed almost all sectors,moving from offline to online,resulting in a new normal lifestyle for *** impact of coronavirus is tremendous in the healthcare sector,which has experienced a decline in the first quarter of *** pandemic has created an urge to use computer-aided diagnosis techniques for classifying the Covid-19 dataset to reduce the burden of clinical *** current situation motivated me to choose correlationbased development called correlation-based grey wolf optimizer to perform accurate classification.A proposed multistage model helps to identify Covid from Computed Tomography(CT)scan *** first process uses a convolutional neural network(CNN)for extracting the feature from the CT *** Pearson coefficient filter method is applied to remove redundant and irrelevant ***,theGrey wolf optimizer is used to choose optimal *** analysis proves that this determines the optimal characteristics to detect the deadly *** proposed model’s accuracy is 14%higher than the krill herd and bacterial foraging optimization for severe accurate respiratory syndrome image(SARS-CoV-2 CT)*** COVID CT image dataset is 22%higher than the existing krill herd and bacterial foraging optimization *** proposed techniques help to increase the classification accuracy of the algorithm in most cases,which marks the stability of the stated *** analysis reveals that the proposed classification technique to predict COVID-19 withmaximumaccuracy of 98%outperforms other competitive approaches.

关键词： COVID-19 feature selection CT image classification features extraction

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kernel Granulometric Texture Analysis and Light RES-ASPP-UNET Classification for Covid-19 Detection

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Computers, Materials & Continua 2022年第4期71卷 651-666页

作者： A.Devipriya P.Prabu k.Venkatachalam ahmed Zohair Ibrahim Department of Computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec Králové50003Hradec KrálovéCzech Republic Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhKSA.P.o.Box:84428Postal Code:11671

This research article proposes an automatic frame work for detectingCOVID -19 at the early stage using chest X-ray image. It is an undeniable factthat coronovirus is a serious disease but the early detection of the virus presentin human bodies can save lives. In recent times, there are so many research solutions that have been presented for early detection, but there is still a lack in needof right and even rich technology for its early detection. The proposed deeplearning model analysis the pixels of every image and adjudges the presence ofvirus. The classifier is designed in such a way so that, it automatically detectsthe virus present in lungs using chest image. This approach uses an imagetexture analysis technique called granulometric mathematical model. Selectedfeatures are heuristically processed for optimization using novel multi scaling deep learning called light weight residual–atrous spatial pyramid pooling(LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting majorlevel of image features. Moreover, the corona virus has been detected usinghigh resolution output. In the framework, atrous spatial pyramid pooling(ASPP) method is employed at its bottom level for incorporating the deepmulti scale features in to the discriminative mode. The architectural workingstarts from the selecting the features from the image using granulometricmathematical model and the selected features are optimized using LightRESASPP-Unet. ASPP in the analysis of images has performed better than theexisting Unet model. The proposed algorithm has achieved 99.6% of accuracyin detecting the virus at its early stage.

关键词： Deep residual learning convolutional neural network COVID-19 X-ray principal component analysis granulo metrics texture analysis

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The Effect of Injection Angle on Mixing and Flame Holding in Supersonic Combustor

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Journal of Thermal Science 2002年第1期11卷 80-91页

作者： Shakil ahmed Mohammad Ali A. k. M. Sadrul Islam Department of Mechanical Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh

A numerical study on mixing of hydrogen injected into a supersonic air stream has been performed by solving two-dimensional full Navier-Stokes equations. An explicit Harten-Yee Non-MUSCL Modified-flux-type TVD scheme has been used to solve the system of equations, and a zero-equation algebraic turbulence model to calculate the eddy viscosity coefficient. The main objectives of this study are to increase the mixing efficiency and flame holding capability of a supersonic combustor. The performance of combustor has been investigated by varying the hydrogen injection angle made with the direction of air stream considering anti-clockwise direction as positive. The injector position from left boundary, backward-facing step height and the inlet width of air stream are kept constant. The results show that upstream of injector the mixing is dominated by recirculation and in downstream the mixing is dominated by mass concentration of hydrogen. Upstream recirculation is dominant for injecting angle 600 and 900 . Incorporating the various effects, perpendicular injection shows the maximum mixing efficiency and its large upstream recirculation region has a good flame holding capability.

关键词： scramjet engine TVD scheme backward-facing step supersonic mixing supersonic stream flame holding.

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