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Hepatocellular carcinoma national burden across different geographical regions in the United States between 2001 and 2020

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World Journal of Methodology 2024年第4期14卷 110-120页

作者： Yazan Abboud Raj Malhotra Muhammad hassaan Arif Maan Anna Mathew Ibrahim Abboud Chun-Wei Pan Saqr Alsakarneh Fouad Jaber Islam Mohamed David Kim Nikolaos T Pyrsopoulos Department of Internal Medicine Rutgers New Jersey Medical SchoolNewarkNJ 07103United States University of California Riverside School of Medicine RiversideCA 92521United States Department of Internal Medicine John H Stroger Hospital of Cook CountyChicagoIL 60612United States Department of Internal Medicine University of Missouri-Kansas CityKansasMO 64108United States Division of Gastroenterology and Hepatology Rutgers New Jersey Medical SchoolNewarkNJ 07101United States

BACKGROUND While prior data showed an increasing incidence of hepatocellular carcinoma(HCC)in the United States,there are limited comprehensive and comparative data on the geographical variations of HCC trends in different demographicspecific *** To evaluate sex and age-specific incidence rates and time trends in different geographical regions in the United *** Age-adjusted HCC incidence rates were collected from the United States Cancer Statistics(USCS)database which covers approximately 98%of the population in the United *** rates were stratified by sex,age,and geographical *** percentage change(APC)and average APC(AAPC)were estimated using Joinpoint Regression.A pairwise comparison was conducted between sex-specific *** There were 467344 patients diagnosed with HCC in the United States in the USCS database between 2001 and *** rates and trends varied by geographical *** looking at the West region(115336 patients),incidence rates of HCC were overall increasing and also increasing in older ***,when evaluating younger adults,HCC incidence rates decreased in men but not in women with a sex-specific absolute AAPC-difference of 2.15(P=0.005).When evaluating the Midwest region(84612 patients),similar results were *** incidence rates were increasing in the overall population and in older adults as well,they were decreasing in younger men but not in women with a sex-specific absolute AAPC-difference of 1.61(P<0.001).For the Northeast region(87259 patients),the analysis showed similar results with decreasing HCC incidence rates in younger men but not counterpart women(Sex-specific AAPC-difference=3.26,P<0.001).Lastly,when evaluating the south(180137 patients),the results were also decreasing in younger men but not in women(Sex-specific AAPC-difference=2.55,P<0.001).CONCLUSION Nationwide analysis covering around 98%of the United States population shows an increasing incidence of HCC across all

关键词： Hepatocellular carcinoma Incidence Epidemiology Health disparity Geography

Structural and Tectonic Evolution of El-Faiyum Depression,North Western Desert,Egypt Based on Analysis of Landsat ETM+,and SRTM Data

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Journal of Earth Science 2011年第1期22卷 75-100页

作者： Timothy M Kusky Talaat M Ramadan mahmoud M hassaan Safwat Gabr Three Gorges Research Center for Geo-hazard State Key Laboratory of Geological Processes and Mineral Resources China University of Geosciences The Geological Applications and Mineral Resources Division National Authority for Remote Sensing and Space Sciences (NARSS) Cairo Egypt

False color Landsat ETM＋（bands 7, 4, 2 in RGB） and SRTM images of the EI-Faiyum depression, Egypt, highlights major NE-SW faults and other lineaments trending NW-SE and N-S. Airborne magnetic data reveal some E-W subsurface faults which are not recognized on Landsat ETM＋ and SRTM images. Ratio images （5/7, 3/1, 4/3） and （5/7, 5/1, 4） were used for lithological discrimination of different rock types. The EI-Faiyum area is occupied by sedimentary rocks of Middle Eocene, Upper Eocene, Oligocene, Lower Miocene, Pliocene, Pleistocene and Holocene. Understanding the structural regime of EI-Faiyum depression in the Western Desert of Egypt is significant in relation to the neotectonics of the Nile Delta and to the development of new communities west of the delta. The area is covered by Late Cretaceous, Middle to Late Eocene deposits, Oligocene deposits （comprising fluviatile sediments and basalt sheets） and Pliocene and Quaternary alluvium and sand deposits. New geological and structural maps were prepared at a scale of 1 ： 100 000 using Landsat ETM＋ and SRTM images coupled with extensive field work. The major structural trends are E-W, ENE, NS and NW--the same trends observed elsewhere in North Africa from NW Sudan to NE Egypt including north and central Sinai. EI-Faiyum depression is a structurally-controlled tectonic basin, marked by northeast-striking faults along its northern margin. These faults are parallel to similar faults of the Syrian arc fold belt, which includes a group of related faults, folds, push-up structures, and basins. Qarun Lake is located in the northern part of EI-Faiyum depression, at a right-step between two strands of the NE striking fault system. We have suggested elsewhere that EI-Faiyum depression is a pull-apart basin related to extension between these mismatched strands of strike-slip faults. The E-W structures are probably related to the relative motion between south Europe and north Egypt and closure of the Neotethys. The continuation of t

关键词： Egypt EI-Faiyum Syrian arc fold belt pull-apart basin Western Desert of Egypt.

Deep Learning Based Classification of Wrist Cracks from X-ray Imaging

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Computers, Materials & Continua 2022年第10期73卷 1827-1844页

作者： Jahangir Jabbar Muzammil Hussain hassaan Malik Abdullah Gani Ali Haider Khan Muhammad Shiraz Department of Computer Science National College of Business Administration&Economics LahoreMultan60000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Faculty of Computing and Informatics University of Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabadPakistan

Wrist cracks are the most common sort of cracks with an excessive occurrence *** the routine detection of wrist cracks,conventional radiography(X-ray medical imaging)is used but periodically issues are presented by crack *** cracks often appear in the human arbitrary bone due to accidental injuries such as ***,many hospitals lack experienced clinicians to diagnose wrist ***,an automated system is required to reduce the burden on clinicians and identify *** this study,we have designed a novel residual network-based convolutional neural network(CNN)for the crack detection of the *** the classification of wrist cracks medical imaging,the diagnostics accuracy of the RN-21CNN model is compared with four well-known transfer learning(TL)models such as Inception V3,Vgg16,ResNet-50,and Vgg19,to assist the medical imaging technologist in identifying the cracks that occur due to wrist *** RN-21CNN model achieved an accuracy of 0.97 which is much better than its competitor`s *** results reveal that implementing a correct generalization that a computer-aided recognition system precisely designed for the assistance of clinician would limit the number of incorrect diagnoses and also saves a lot of time.

关键词： Wrist cracks fracture deep learning X-rays CNN

Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images

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Computers, Materials & Continua 2023年第7期76卷 133-150页

作者： Ali Haider Khan hassaan Malik Wajeeha Khalil Sayyid Kamran Hussain Tayyaba Anees Muzammil Hussain Department of Software Engineering Faculty of Computer SciencesLahore Garrison UniversityLahorePakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science&Information Technology University of Engineering and Technology(UET)PeshawarPakistan Department of Computer Science TIMES InstituteMultan60000Pakistan Department of Software Engineering School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan

To prevent irreversible damage to one’s eyesight,ocular diseases(ODs)need to be recognized and treated *** fundus imaging(CFI)is a screening technology that is both effective and *** to CFIs,the early stages of the disease are characterized by a paucity of observable symptoms,which necessitates the prompt creation of automated and robust diagnostic *** traditional research focuses on image-level diagnostics that attend to the left and right eyes in isolation without making use of pertinent correlation data between the two sets of *** addition,they usually only target one or a few different kinds of eye diseases at the same *** this study,we design a patient-level multi-label OD(PLML_ODs)classification model that is based on a spatial correlation network(SCNet).This model takes into consideration the relevance of patient-level diagnosis combining bilateral eyes and multi-label ODs ***_ODs is made up of three parts:a backbone convolutional neural network(CNN)for feature extraction i.e.,DenseNet-169,a SCNet for feature correlation,and a classifier for the development of classification *** DenseNet-169 is responsible for retrieving two separate sets of attributes,one from each of the left and right *** then,the SCNet will record the correlations between the two feature sets on a pixel-by-pixel *** the attributes have been analyzed,they are integrated to provide a representation at the patient *** the whole process of ODs categorization,the patient-level representation will be *** efficacy of the PLML_ODs is examined using a soft margin loss on a dataset that is readily accessible to the public,and the results reveal that the classification performance is significantly improved when compared to several baseline approaches.

关键词： Ocular disease multi-label spatial correlation CNN eye disease

Primary hepatic leiomyosarcoma:A case report and literature review

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World Journal of Hepatology 2022年第9期14卷 1830-1839页

作者： Hassan Ahmed hassaan Bari Umer Nisar Sheikh Muhammad Irfan Basheer Department of Surgical Oncology Shaukat Khanum Memorial Cancer Hospital and Research CentreLahore 54782Pakistan Department of Pathology Shaukat Khanum Memorial Cancer Hospital and Research CentreLahore 54782Pakistan

BACKGROUND Primary hepatic leiomyosarcoma(PHL)is a rare tumor with a very low incidence of about 0.2%.CASE SUMMARY A 48-year-old diabetic,hypertensive,and morbidly obese female patient presented with a history of abdominal pain and weight loss for 2 *** had no history of fever,jaundice,or other liver disease(s).Clinical examination revealed a palpable mass in the *** evaluation with a contrast-enhanced computed tomography(CT)scan of the abdomen and pelvis revealed an illdefined enhancing hyper vascular hepatic mass of 9.9 cm×7.8 cm occupying the left hepatic lobe with evidence of central necrosis,compression effect on the left hepatic vein,and partial wash-out on delayed *** further workup,the maximum standardized uptake value on positron emission computed tomography scan was 6.4,which was suggestive of *** remaining part of the liver was normal without any evidence of ***-guided biopsy of the mass showed smooth muscle neoplasm suggestive of *** optimization for co-morbidities,an extended left hepatectomy was planned in a multidisciplinary team *** intraoperative ultrasound,the left hepatic lobe was entirely replaced by a large tumor extending to the caudate lobe with a compression effect on the middle and left hepatic *** histopathology showed nodular and whorled white tumor comprised of spind-led/fascicular cells with moderate to severe pleomorphism and focal *** mitotic index was greater than 20 mitoses per 10 high-power *** resection margins were free of ***(IHC)depicted a desmin-positive/caldesmon-negative/discovered on gastrointestinal stromal tumor 1-negative/cluster of differentiation 117-negative profile,confirming the definitive diagnosis as *** This case report highlights the rare malignant mesenchymal hepatic *** confirm PHL diagnosis,one requires peculiar histopathological findings with ancillary IHC confirmation.M

关键词： Leiomyosarcoma Immunohistochemistry Hepatectomy Surgical resection Case Report

Geomatics-Based Framework for Assessing Environmental Impacts of Grand Ethiopian Renaissance Dam (GERD) Reservoir

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Journal of Geoscience and Environment Protection 2021年第12期9卷 72-83页

作者： mahmoud A. hassaan Institute of Graduate Studies and Research Alexandria University Alexandria Egypt

Despite the benefits of big project dams, their reservoirs may have significant environmental impacts. The main objective of this paper is to develop an integrated analysis framework of remotely-sensed data ad GIS techniques for delineating surface area of the dam reservoir, simulating their capacities and assessing associated environmental impacts with application to Grand Ethiopian Renaissance Dam (GERD). For this purpose, a methodology of four main steps was applied. The methodology involved delineating the up-to-date reservoir using remotely sensed data, simulating reservoir at full capacity, estimating current and potential reservoir capacity and finally assessing environmental impacts of the reservoir. The results revealed that the up-to-date reservoir covers a total area of 330.3 km2 with a gross storage capacity of 12 billion m3. Under full capacity scenario, the reservoir is estimated to cover a total area of 1650.9 km2, with a storage capacity of 63.4 billion m3. The GERD reservoir may lead to dramatic changes in the local environment with significant implications at both regional and global scales. In this respect, it was found that the reservoir will lead to destruction of ecosystems in a total area of 1300 km2 covered by grasslands and Savannah. Also, the GERD reservoir is expected to have significant impacts on GHGs emissions and global war

关键词： Remote Sensing GIS Dams’ Reservoirs GERD

Production of geopolymer composites enhanced by nano‐kaolin material

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Journal of Advanced Ceramics 2015年第4期4卷 245-252页

作者： mahmoud M.hassaan Hisham M.KHATER Medhat S.EL-MAHLLAWY Abdeen M.EL NAGAR Al Azhar University Nasr CityCairoEgypt Housing and Building National Research Centre(HBRC) 87 El-Tahrir St.DokkiGizaP.O.Box 1770CairoEgypt

Nowadays kaolin raw material is usually used to produce nano-kaolin for geopolymer enhancement by using firing *** the present study,kaolin used was taken from the Naqus Formation(Cambro-Ordovician age),west of Gabal El Gunna,Sinai,***-kaolin material is an ultrafine material and was prepared from the taken kaolin by the firing process at 800 for 2℃h with a heating rate of 5/*** mixes were prepared and their laboratory specimens were made℃and cured up to 90 *** cooled slag was used as starting material,and sodium hydroxide and sodium silicate were used in the study as activators for the used *** formed geopolymer mixes with different ratios(1%,1.5%,3%,5%,and 7%)of nano-kaolin as a partial replacement for the raw kaolin were *** Ace super plasticizer was added in the ratio of 4%from the dry weight to ensure good dispersing of the used nano *** showed that increasing the percentage of nano-kaolin up to 3%results in an enhancement in the mechanical properties as compared with the control mix up to 90 days of curing,while higher ratios are not preferable where they lead to agglomeration of the added nano materials and matrix dilution.

关键词： geopolymer nano-kaolin sodium silicate slag

Zinc oxide nanoparticles accelerate the healing of methicillin-resistant Staphylococcus aureus(MRSA)-infected wounds in rabbits

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Asian Pacific Journal of Tropical Biomedicine 2023年第11期13卷 488-496,I0002页

作者： Muhammad Asif Ayesha Safdar Chaudhry Ambreen Ashar Hamad Bin Rashid Muhammad Hassan Saleem hassaan Bin Aslam Abdul Aziz Department of Veterinary Surgery University of Veterinary and Animal SciencesLahorePunjabPakistan TECS Department Wilson College of TextilesNC State UniversityRaleigh 27606USA Department of Veterinary Medicine University of Veterinary and Animal SciencesLahorePunjabPakistan Institute of Microbiology University of Veterinary and Animal SciencesLahorePunjabPakistan Department of Veterinary Clinical Sciences University of PoonchRawalakot 12350Pakistan

Objective:To synthesize zinc oxide nanoparticles(ZnONPs)and evaluate their antibacterial and wound healing effects against wounds infected with methicillin-resistant Staphylococcus aureus(MRSA).Methods:ZnONPs were prepared by sol-gel method and characterized by X-ray diffraction(XRD)analysis and scanning electron microscopy(SEM).A total of 18 rabbits were divided into three groups:the ZnONPs group,the gentamicin group and the control group.A wound of 3 cm^(2) was inflicted on each rabbit and contaminated with MRSA *** was started from the fourth day *** healing,microbiological analysis,and histopathological analysis were performed to assess the efficacy of ZnONPs ***:XRD analysis confirmed the hexagonal wurtzite structure of the ZnONPs with an average crystallite size of 29.23 *** revealed discoid-shaped ZnONPs with a rough surface and an average size of 48.36 ***-dispersive X-ray analysis confirmed the purity of ***,the particle size ranged from 100-700 nm with a high agglomeration *** with ZnONPs promoted MRSA-infected wound *** addition,ZnONPs showed a good antibacterial effect as evidenced by a dose-dependent increase in the zone of ***:ZnONPs accelerate the healing of MRSA-infected ***,it can be explored for the treatment of MRSA infection.

关键词： MRSA Wound healing ZnO Nanoparticles Ointment

Using Scholarly Big Data in Assessing Contribution of National Expertise to Climate Change Knowledge;Case Study: Egypt

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Journal of Data Analysis and Information Processing 2018年第3期6卷 67-78页

作者： mahmoud A. hassaan Alexandria Research Center for Adaptation to Climate Change (ARCA) Institute of Graduate Studies and Research Alexandria University Alexandria Egypt

Scholarly documents are generated on daily basis in varied formats. Google Scholar is one of the most popular open access web search engines that involves metadata of massive volume of varied scholarly literature that is generated autonomously and in high velocity. This means that Google Scholar data should be considered from Big Data perspective. Despite a growing literature on climate change in Egypt, there has never been a comprehensive survey of the literature produced by Egyptian researchers in the field. The paper in hand is intended to study and assess existing literature on climate change undertaken by Egyptian researchers available at Google Scholar. For this purpose, systematic mapping approach was utilized in this work. It was found that there were 189 research papers undertaken by Egyptian researchers on various climate change topics over a ten years period 2007-2017. Yet, about 33% of the produced literature was found to have been published in less reputable publications. Research papers undertaken by Egyptian researchers were found to be on the increase during this period. It was also found that the majority of the published research focused on specific topics such as agriculture and sea level rise, while disregarding a number of vital topics in the case of Egypt such as tourism, health and energy.

关键词： Big Data Google Scholar Egypt Climate Change