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Involvement and therapeutic implications of airway epithelial barrier dysfunction in type 2 inflammation of asthma

Chinese Medical Journal 2022年第5期135卷 519-531页

作者： Xiang Dong Mei Ding Jinjin Zhang ismail ogülür Yagiz Pat Mübeccel Akdis Yadong Gao Cezmi A.Akdis Department of Allergology Zhongnan Hospital of Wuhan UniversityHubei Province Key Laboratory of Allergy and ImmunologyWuhanHubei 430071China Swiss Institute of Allergy and Asthma research(SIAF) University of ZurichHerman-Burchard Strasse 9DavosSwitzerland.

Type 2 inflammation is a complex immune response and primary mechanism for several common allergic diseases including allergic rhinitis,allergic asthma,atopic dermatitis,and chronic rhinosinusitis with nasal polyps.It is the predominant type of immune response against helminths to prevent their tissue infiltration and induce their expulsion.recent studies suggest that epithelial barrier dysfunction contributes to the development of type 2 inflammation in asthma,which may partly explain the increasing prevalence of asthma in China and around the globe.The epithelial barrier hypothesis has recently been proposed and has received great interest from the scientific community.The development of leaky epithelial barriers leads to microbial dysbiosis and the translocation of bacteria to inter-and sub-epithelial areas and the development of epithelial tissue inflammation.Accordingly,preventing the impairment and promoting the restoration of a deteriorated airway epithelial barrier represents a promising strategy for the treatment of asthma.This review introduces the interaction between type 2 inflammation and the airway epithelial barrier in asthma,the structure and molecular composition of the airway epithelial barrier,and the assessment of epithelial barrier integrity.The role of airway epithelial barrier disruption in the pathogenesis of asthma will be discussed.In addition,the possible mechanisms underlying the airway epithelial barrier dysfunction induced by allergens and environmental pollutants,and current treatments to restore the airway epithelial barrier are reviewed.

关键词： Airway epithelial barrier Type 2 inflammation Asthma Allergen Environmental pollutants

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Shear let Transform residual learning Approach for Single-Image Super-resolution

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Computers, Materials & Continua 2024年第5期79卷 3193-3209页

作者： Israa ismail Ghada Eltaweel Mohamed Meselhy Eltoukhy Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailia51422Egypt Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia

Super-resolution techniques are employed to enhance image resolution by reconstructing high-resolution images from one or more low-resolution inputs.Super-resolution is of paramount importance in the context of remote sensing,satellite,aerial,security and surveillance imaging.Super-resolution remote sensing imagery is essential for surveillance and security purposes,enabling authorities to monitor remote or sensitive areas with greater clarity.This study introduces a single-image super-resolution approach for remote sensing images,utilizing deep shearlet residual learning in the shearlet transform domain,and incorporating the Enhanced Deep Super-resolution network(EDSr).Unlike conventional approaches that estimate residuals between high and low-resolution images,the proposed approach calculates the shearlet coefficients for the desired high-resolution image using the provided low-resolution image instead of estimating a residual image between the high-and low-resolution image.The shearlet transform is chosen for its excellent sparse approximation capabilities.Initially,remote sensing images are transformed into the shearlet domain,which divides the input image into low and high frequencies.The shearlet coefficients are fed into the EDSr network.The high-resolution image is subsequently reconstructed using the inverse shearlet transform.The incorporation of the EDSr network enhances training stability,leading to improved generated images.The experimental results from the Deep Shearlet residual learning approach demonstrate its superior performance in remote sensing image recovery,effectively restoring both global topology and local edge detail information,thereby enhancing image quality.Compared to other networks,our proposed approach outperforms the state-of-the-art in terms of image quality,achieving an average peak signal-to-noise ratio of 35 and a structural similarity index measure of approximately 0.9.

关键词： Super-resolution shearlet transform shearlet coefficients enhanced deep super-resolution network

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Effect of Co on Solidification Characteristics and Microstructural Transformation of Non-equilibrium Solidified Cu-Ni Alloys

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Journal of Wuhan University of Technology(Materials Science) 2024年第2期39卷 444-453页

作者：安红恩 Bih-lii Chua ismail Saad Willey Yun Hsien liew Materials Engineering research Group Faculty of EngineeringUniversity Malaysia Sabah88400 Kota KinabaluSabahMalaysia College of Mechanical and Electronic Engineering Huanghe Jiaotong UniversityJiaozuo 454950China Henan Engineering Technology research Center on Intelligent Manufacturing Technology and Equipment Jiaozuo 454950China Centre of research in Energy and Advanced Materials Faculty of EngineeringUniversiti Malaysia SabahJalan UMS88400 Kota KinabaluSabahMalaysia Nano Engineering and Materials research group Faculty of EngineeringUniversity Malaysia Sabah88400 Kota KinabaluSabahMalaysia

Non-equilibrium solidification structures of Cu55Ni45 and Cu55Ni43Co2 alloys were prepared by the molten glass purification cycle superheating method.The variation of the recalescence phenomenon with the degree of undercooling in the rapid solidification process was investigated using an infrared thermometer.The addition of the Co element affected the evolution of the recalescence phenomenon in Cu-Ni alloys.The images of the solid-liquid interface migration during the rapid solidification of supercooled melts were captured by using a high-speed camera.The solidification rate of Cu-Ni alloys,with the addition of Co elements,was explored.Finally,the grain refinement structure with low supercooling was characterised using electron backscatter diffraction(EBSD).The effect of Co on the microstructural evolution during nonequilibrium solidification of Cu-Ni alloys under conditions of small supercooling is investigated by comparing the microstructures of Cu55Ni45 and Cu55Ni43Co2 alloys.The experimental results show that the addition of a small amount of Co weakens the recalescence behaviour of the Cu55Ni45 alloy and significantly reduces the thermal strain in the rapid solidification phase.In the rapid solidification phase,the thermal strain is greatly reduced,and there is a significant increase in the characteristic undercooling degree.Furthermore,the addition of Co and the reduction of Cu not only result in a lower solidification rate of the alloy,but also contribute to the homogenisation of the grain size.

关键词： non-equilibrium solidification recalescence effect solidification character microstructure

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Bond-Slip Behavior of Steel Bar and recycled Steel Fibre-reinforced Concrete

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Journal of renewable Materials 2024年第1期12卷 167-186页

作者： ismail Shah Jing li Nauman Khan Hamad r.Almujibah Muhammad Mudassar rehman Ali raza Yun Peng School of Architecture and Civil Engineering Yunnan Agricultural UniversityKunming650000China Institute of Mountain Hazards and Environment Chinese Academy of SciencesChengdu610041China Yunnan International Joint r&D Center of Smart Agriculture and Water Security Yunnan Agricultural UniversityKunming650201China School of Water Conservancy Yunnan Agricultural UniversityKunming650201China School of Civil Engineering Guizhou UniversityGuiyang550025China Department of Civil Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif City21974Saudi Arabia School of Civil Engineering Zhengzhou UniversityZhengzhou450001China

recycled steel fiber reinforced concrete is an innovative construction material that offers exceptional mechanical properties and durability.It is considered a sustainable material due to its low carbon footprint and environmental friendly characteristics.This study examines the key influencing factors that affect the behavior of this material,such as the steel fiber volume ratio,recycled aggregate replacement rate,concrete strength grade,anchorage length,and stirrup constraint.The study investigates the bond failure morphology,bond-slip,and bond strength constitutive relationship of steel fiber recycled concrete.The results show that the addition of steel fibers at 0.5%,1.0%,and 1.5%volume ratios can improve the ultimate bond strength of pull-out specimens by 9.05%,6.94%,and 5.52%,respectively.The replacement rate of recycled aggregate has minimal effect on the typical bond strength of pull-out specimens.However,the ultimate bond strengths of pull-out specimens with concrete strength grades C45 and C60 have improved compared to those with C30 grade.The specimens with longer anchorage lengths exhibit lower ultimate bond strength,with a reduction of 33.19%and 46.37%for anchorage lengths of 5D and 7D,respectively,compared to those without stirrups.Stirrup restraint of 1φ8 and 2φ8 improves the ultimate bond strength by 5.29%and 6.90%,respectively.Steel fibers have a significant effect on the behavior of concrete after it cracks,especially during the stable expansion stage,crack instability expansion stage,and failure stage.

关键词： recycled coarse aggregates(rCA) steel fiber bonding performance bond-slip environmental challenges

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Electro-Optical Model of Soiling Effects on Photovoltaic Panels and Performance Implications

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Energy Engineering 2024年第2期121卷 243-258页

作者： A.Asbayou G.P.Smestad I.ismail A.Soussi A.Elfanaoui l.Bouhouch A.Ihlal laboratory of Materials and renewable Energies University Ibn ZohrAgadir80000Morocco Sol Ideas Technology Development San José95150USA

In this paper,a detailed model of a photovoltaic(PV)panel is used to study the accumulation of dust on solar panels.The presence of dust diminishes the incident light intensity penetrating the panel’s cover glass,as it increases the reflection of light by particles.This phenomenon,commonly known as the“soiling effect”,presents a significant challenge to PV systems on a global scale.Two basic models of the equivalent circuits of a solar cell can be found,namely the single-diode model and the two-diode models.The limitation of efficiency data in manufacturers’datasheets has encouraged us to develop an equivalent electrical model that is efficient under dust conditions,integrated with optical transmittance considerations to investigate the soiling effect.The proposed approach is based on the use of experimental current-voltage(I-V)characteristics with simulated data using MATlAB/Simulink.Our research outcomes underscores the feasibility of accurately quantifying the reduction in energy production resulting from soiling by assessing the optical transmittance of accumulated dust on the surface of PV glass.

关键词： Photovoltaics solar energy optical transmittance soiling dust PV performance

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High resolution sequence stratigraphy of the Mishrif Formation(Cenomanian-Early Turonian)at zubair oilfield(al-rafdhiah dome),southern Iraq

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Petroleum research 2024年第1期9卷 61-71页

作者： Aymen A.lazim Maher J.ismail Maher M.Mahdi Geoscience Department Zubair Field Operation DivisionBasra Oil CompanyIraq Basrah Oil Company WQ1 FODBasrahIraq University of Basrah College of ScienceGeology Dept.BasrahIraq

The Mishrif Formation(Cenomanian-E Turonian)is one of the most important geological formations in the Middle East and Iraq because it contains enormous petroleum accumulations.It is considered to be the first reservoir in the region,and is still being studied because of its economic significance.The carbonate of the Mishrif Formation derives from a variety of depositional settings,including mid-ramp,shoal,lagoon,and intertidal.The five main microfacies discussed in this paper are wackestone,packstone,grainstone,floatstone,and bindstone.The most frequent fossilised components found in the Mishrif Formation are rudists,benthic foraminifera,echinoderms,burrows molluscs,and algae.According to the microfacies and analysed wireline log data,the sequence stratigraphy of the studied formation is composed of two regression cycles.Five parasequences of transgressive-regressive cycles make up the depositional sequence of the Mishrif Formation.The standard depositional environments seem to demonstrate a gradual regression,beginning with a short period of the outer ramp,then a steady period of the mid-ramp,and ending in the intertidal environment.Additionally,the study recorded two regional maximum flooding surfaces:K-135 and K-140.The former is present in the lowermost part of the formation,while the other lies in the middle.This study shows a close relationship between facies(environments)and hydrocarbon accumulation.The increased accumulation focuses on the lower part of the studied formation,and seems to be lower in the upper part of the formation as a result of changes in the environment of deposition.

关键词： Mishrif formation Cenomanian Sequence stratigraphy Zubair oilfield Iraq

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Targeting oral-gut microbial transmission in diabetic coronary heart disease: unveiling key pathogenic mechanisms

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Science China life Sciences 2024年

作者： ismail Cimen Aab Cardiovascular research Institute Department of Medicine University of Rochester School of Medicine and Dentistry

Diabetes significantly exacerbates the occurrence and adverse prognosis of coronary heart disease (CHD), emphasizing the importance of focusing on the prevention and management of diabetesrelated complications. This study identifies and verifies for the first time a distinctive oral-gut microbiota profile in patients with diabetic coronary heart disease (DCHD), marked by an increased abundance of oral Fusobacterium nucleatum and gut lactobacillus.

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A Novel Deep learning-Based Model for Classification of Wheat Gene Expression

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Computer Systems Science & Engineering 2024年第2期48卷 273-285页

作者： Amr ismail WalidHamdy Aya MAl-Zoghby Wael AAwad Ahmed ismail Ebada Yunyoung Nam Byeong-Gwon Kang Mohamed Abouhawwash Faculty of Science Port Said UniversityPort SaidEgypt Modern Academy for Computer Science and Management Technology Cairo11742Egypt Faculty of Computers and Artificial Intelligence Damietta UniversityNew DamiettaEgypt Department of ICT Convergence Soonchunhyang UniversityAsan31538South Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Deep learning(Dl)plays a critical role in processing and converting data into knowledge and decisions.Dl technologies have been applied in a variety of applications,including image,video,and genome sequence analysis.In deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised environment.In comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene sequences.Wheat is an essential crop of cereals for people around the world.Wheat Genotypes identification has an impact on the possible development of many countries in the agricultural sector.In quantitative genetics prediction of genetic values is a central issue.Wheat is an allohexaploid(AABBDD)with three distinct genomes.The sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are necessary.This paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current constraints.In this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).

关键词： Gene expression convolutional neural network optimization algorithm genomic prediction wheat

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Scoliocorrector Fatma-UI for correction of adolescent idiopathic scoliosis: Development, effectivity, safety and functional outcome

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World Journal of Orthopedics 2024年第1期15卷 61-72页

作者： Phedy Phedy ismail Hadisoebroto Dilogo Wresti Indriatmi Sugeng Supriadi Marcel Prasetyo Fitri Octaviana Zairin Noor Doctoral Program in Medical Sciences Faculty of Medicine University of IndonesiaJakarta Pusat 10430DKI JakartaIndonesia Department of Orthopaedic and Traumatology Universitas IndonesiaJakarta 10430DKI JakartaIndonesia Department of Dermatology and Venereology Faculty of MedicineUniversity of IndonesiaJakarta Pusat 10430DKI JakartaIndonesia Faculty of Mechanical Engineering University of IndonesiaDepok 16424Jawa BaratIndonesia Department of radiology University of IndonesiaJakarta Pusat 10430DKI JakartaIndonesia Department of Neurology Faculty of MedicineUniversity of IndonesiaJakarta Pusat 10430DKI JakartaIndonesia research Center for Osteoporosis Department of Orthopaedic and TraumatologyLambung Mangkurat UniversityBanjarmasin 70123Kalimantan SelatanIndonesia

BACKGrOUND Adolescent idiopathic scoliosis remains a major problem due to its high incidence,high risk,and high cost.One of the aims of the management in scoliosis is to correct the deformity.Many techniques are available to correct scoliosis deformity;however,they are all far from ideal to achieve three-dimensional correction in scoliosis.AIM To develop a set of tools named Scoliocorrector Fatma-UI(SCFUI)to aid threedimensional correction and to evaluate the efficacy,safety,and functional outcome.METHODS This study consists of two stages.In the first stage,we developed the SCFUI and tested it in finite element and biomechanical tests.The second stage was a single-blinded randomized clinical trial to evaluate the SCFUI compared to direct vertebral rotation(DVr).Forty-four subjects with adolescent idiopathic scoliosis were randomly allocated into the DVr group(n=23)and SCFUI group(n=21).radiological,neurological,and functional outcome was compared between the groups.rESUlTS Finite element revealed the maximum stress of the SCFUI components to be between 31.2-252 MPa.Biomechanical analysis revealed the modulus elasticity of SCFUI was 9561324±633277 MPa.Both groups showed improvement in Cobb angle and sagittal profile,however the rotation angle was lower in the SCFUI group(11.59±7.46 vs 18.23±6.39,P=0.001).Neurological and functional outcome were comparable in both groups.CONClUSION We concluded that SCFUI developed in this study resulted in similar coronal and sagittal but better rotational correction compared to DVr.The safety and functional outcomes were also similar to DVr.

关键词： Adolescent idiopathic scoliosis Scoliocorrector Fatma-UI Scoliosis surgery Posteromedial translation Direct vertebral rotation

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Understanding Osteoporosis: Pathophysiology, risk Factors, Diagnosis, and Management

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Advances in Aging research 2024年第3期13卷 25-40页

作者： Mahmoud ismail Division of Geriatrics University at Buffalo Buffalo NY USA

Osteoporosis is a systemic skeletal disease characterized by low bone mineral density (BMD) and deterioration of bone architecture, resulting in reduced bone strength and, consequently, increased susceptibility to fractures which poses a significant public health concern worldwide, particularly in aging populations [1]. The health-economic impact of vertebral and hip fractures has been extensively explored and it is well known that these fractures are associated with morbidity/disability and increased mortality;they also account for a substantial portion of the direct fracture costs. This review aims to provide a comprehensive overview of osteoporosis, including its pathophysiology, risk factors, diagnostic approaches, and management strategies. By elucidating the multifaceted nature of this condition, healthcare providers can better identify individuals at risk, implement preventive measures, and optimize treatment to reduce the burden of osteoporotic fractures.

关键词： Osteoporosis Bone Mineral Density Fractures risk Factors Diagnosis Management FrAX (Fracture risk Assessment Tool) Trabecular Bone Score (TBS)

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