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Micro-Computed Tomography Applications in Dentistry

Open Journal of Stomatology 2024年第1期14卷 32-41页

作者： Ahmad Assari Maha al Bukairi Reema al Saif Oral Maxillofacial Surgery & Diagnostic Sciences Department College of Medicine and Dentistry Riyadh Elm University Ri-yadh Saudi Arabia Orthodontist Ministry of Health First Health Cluster Riyadh Saudi Arabia Periodontist Ministry of Health Third Health Cluster Riyadh Saudi Arabia

Micro-computed tomography (MCT) encompasses two primary scanning options: ex-vivo and in-vivo imaging. Ex-vivo scanning involves the examination of extracted teeth or dental specimens, allowing for detailed analyses of the microarchitecture of mineralized tissue. By analyzing the microarchitecture of dental tissues, MCT can provide valuable information about bone density, porosity, and microstructural changes, contributing to a better understanding of disease progression and treatment outcomes. Moreover, MCT facilitates the quantification of dental parameters, such as bone volume, trabecular thickness, and connectivity density, which are crucial for evaluating the efficacy of dental interventions. This present study aims to comprehensively review and explore the applications of MCT in dentistry and highlight its potential in advancing research and clinical practice. The results depicted that the quantitative approach of MCT enhances the precision and reliability of dental research. Researchers and clinicians can make evidence-based decisions regarding treatment strategies and patient management, relying on quantifiable data provided by MCT. The applications of MCT in dentistry extend beyond research, with potential clinical implications in fields such as dental implantology and endodontics. MCT is expected to play an increasingly significant role in enhancing our understanding of dental pathologies, improving treatment outcomes, and ultimately, benefiting patient care in the field of dentistry.

关键词： Clinical Practice Dentistry Ex-Vivo Scanning Micro-Computed Tomography

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Study of Total Dissolved Solids (TDS) Concentrations Factor of SWCC al-Khobar Plant Seawater Intakes

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Computational Water, Energy, and Environmental Engineering 2024年第1期13卷 1-12页

作者： Ahmed al-Kubaish Jamal Salama Waleed al-Jurayan Water Quality Section Al-Khobar Production System Saline Water Conversion Corporation Al-Khobar Saudi Arabia

This study presents a significant contribution to the field of water quality assessment and sustainable water management practices. By evaluating the levels of total dissolved solids (TDS) in seawater intakes within al-Khobar desalination production system, the study addresses a crucial aspect of water treatment and environmental impact assessment. The findings provide valuable insights into the variations and trends of TDS levels across different phases of the system, highlighting the importance of monitoring and management strategies. The study provided both gravimetric total dissolved solids (TDS) and electrical conductivity (EC) measurements to analyze TDS calculation factor and evaluate measurement accuracy. Results revealed significant variations in TDS levels across the sampling locations, with phase-2 exhibiting higher levels and greater fluctuations. Phase-3 displayed similar trends but with lower TDS levels, while phase-4 showed slightly different behavior with higher average TDS levels. EC measurements demonstrated a strong correlation with TDS, providing a reliable estimation. However, additional methods such as gravimetric analysis should be employed to confirm TDS measurements. The findings contribute to understanding water quality in the al-Khobar desalination system, aiding in monitoring, management, and decision-making processes for water treatment and environmental impact assessment. The study enhances the credibility of water quality assessments and supports sustainable water management practices.

关键词： Total Dissolved Solids Conductivity Seawater Desalination

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Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow

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工程与科学中的计算机建模(英文) 2024年第1期138卷 1-41页

作者： Baydaa Abdul Kareem Salah L.Zubaidi Nadhir al-Ansari Yousif Raad Muhsen Department of Civil Engineering University of MaysanMaysan57000Iraq Department of Civil Engineering Wasit UniversityWasit52001Iraq College of Engineering University ofWarith Al-AnbiyaaKarbala56001Iraq Department of Civil Environmental and Natural Resources Engineering Lulea University of TechnologyLulea97187Sweden Department of Computer Science Faculty of Computer Science and Information TechnologyUniversiti Putra MalaysiaSerdang43400Malaysia

Forecasting river flow is crucial for optimal planning,management,and sustainability using freshwater *** machine learning(ML)approaches have been enhanced to improve streamflow *** techniques have been viewed as a viable method for enhancing the accuracy of univariate streamflow estimation when compared to standalone *** researchers have also emphasised using hybrid models to improve forecast ***,this paper conducts an updated literature review of applications of hybrid models in estimating streamflow over the last five years,summarising data preprocessing,univariate machine learning modelling strategy,advantages and disadvantages of standalone ML techniques,hybrid models,and performance *** study focuses on two types of hybrid models:parameter optimisation-based hybrid models(OBH)and hybridisation of parameter optimisation-based and preprocessing-based hybridmodels(HOPH).Overall,this research supports the idea thatmeta-heuristic approaches precisely improveML ***’s also one of the first efforts to comprehensively examine the efficiency of various meta-heuristic approaches(classified into four primary classes)hybridised with ML *** study revealed that previous research applied swarm,evolutionary,physics,and hybrid metaheuristics with 77%,61%,12%,and 12%,***,there is still room for improving OBH and HOPH models by examining different data pre-processing techniques and metaheuristic algorithms.

关键词： Univariate streamflow machine learning hybrid model data pre-processing performance metrics

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Securing Cloud-Encrypted Data:Detecting Ransomware-as-a-Service(RaaS)Attacks through Deep Learning Ensemble

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Computers, Materials & Continua 2024年第4期79卷 857-873页

作者： Amardeep Singh Hamad ali Abosaq Saad Arif Zohaib Mushtaq Muhammad Irfan Ghulam Abbas Arshad ali alanoud al Mazroa School of Computer Information Sciences University of CumberlandsWilliamsburgKentucky40769USA Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Electrical Engineering The University of LahoreLahore54000Pakistan Faculty of Computer and Information Systems Islamic University of MadinahMadinah42351Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Data security assurance is crucial due to the increasing prevalence of cloud computing and its widespread use across different industries,especially in light of the growing number of cybersecurity threats.A major and everpresent threat is Ransomware-as-a-Service(RaaS)assaults,which enable even individuals with minimal technical knowledge to conduct ransomware *** study provides a new approach for RaaS attack detection which uses an ensemble of deep learning *** this purpose,the network intrusion detection dataset“UNSWNB15”from the Intelligent Security Group of the University of New South Wales,Australia is *** the initial phase,the rectified linear unit-,scaled exponential linear unit-,and exponential linear unit-based three separate Multi-Layer Perceptron(MLP)models are ***,using the combined predictive power of these three MLPs,the RansoDetect Fusion ensemble model is introduced in the suggested *** proposed ensemble technique outperforms previous studieswith impressive performance metrics results,including 98.79%accuracy and recall,98.85%precision,and 98.80%*** empirical results of this study validate the ensemble model’s ability to improve cybersecurity defenses by showing that it outperforms individual *** expanding the field of cybersecurity strategy,this research highlights the significance of combined deep learning models in strengthening intrusion detection systems against sophisticated cyber threats.

关键词： Cloud encryption RaaS ensemble threat detection deep learning cybersecurity

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Chiral transmission by an open evolution trajectory in a non-Hermitian system

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Light(Science & Applications) 2024年第4期13卷 628-636页

作者： Xiaoqian Shu Qi Zhong Kai Hong Oubo You Jian Wang Guangwei Hu Andrea alù Shuang Zhang Demetrios N.Christodoulides Lin Chen Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China. Zhejiang Lab Hangzhou 311121China. CREOL College of Optics and PhotonicsUniversity of Central FloridaOrlandoFlorida 32816USA. Department of Physics The University of Hong KongHong KongChina. School of Electrical and Electronic Engineering Nanyang Technological University50 Nanyang AvenueSingapore 639798Singapore. Photonics Initiative Advanced Science Research CenterCity University of New YorkNew YorkNY 10031USA. Shenzhen Huazhong University of Science and Technology Research Institute Shenzhen 518063China

Exceptional points(EPs),at which two or more eigenvalues and eigenstates of a resonant system coalesce,are associated with non-Hermitian Hamiltonians with gain and/or loss *** encircling of EPs has received significant interest in recent years,as it has been shown to lead to highly nontrivial phenomena,such as chiral transmission in which the final state of the system depends on the encircling ***,chiral transmission for a pair of eigenmodes has been realized by establishing a closed dynamical trajectory in parity-time-(PT-)or anti-PT-symmetric *** chiral transmission of symmetry-broken modes,more accessible in practical photonic integrated circuits,has been realized by establishing a closed trajectory encircling EPs in anti-PTsymmetric systems,the demonstrated transmission efficiency is very low due to path-dependent ***,we demonstrate chiral dynamics in a coupled waveguide system that does not require a closed ***,we explore an open trajectory linking two infinite points having the same asymptotic eigenmodes(not modes in PT-and anti-PT-symmetric systems),demonstrating that this platform enables high-efficiency chiral transmission,with each eigenmode localized in a single *** concept is experimentally implemented in a coupled silicon waveguide system at telecommunication *** work provides a new evolution strategy for chiral dynamics with superior performance,laying the foundation for the development of practical chiral-transmission devices.

关键词： chiral system symmetric

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Composite Fractional Trapezoidal Rule with Romberg Integration

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2729-2745页

作者： Iqbal M.Batiha Rania Saadeh Iqbal H.Jebril Ahmad Qazza Abeer A.al-Nana Shaher Momani Department of Mathematics Al Zaytoonah University of JordanAmman11733Jordan Nonlinear Dynamics Research Center(NDRC) Ajman UniversityAjman 346United Arab Emirates Department of Mathematics Faculty of ScienceZarqa UniversityZarqa13110Jordan Department of Mathematics Prince Sattam Bin Abdulaziz UniversityAlkharj11942Saudi Arabia Department of Mathematics The University of JordanAmman11942Jordan

The aim of this research is to demonstrate a novel scheme for approximating the Riemann-Liouville fractional integral *** would be achieved by first establishing a fractional-order version of the 2-point Trapezoidal rule and then by proposing another fractional-order version of the(n+1)-composite Trapezoidal *** particular,the so-called divided-difference formula is typically employed to derive the 2-point Trapezoidal rule,which has accordingly been used to derive a more accurate fractional-order formula called the(n+1)-composite Trapezoidal ***,in order to increase the accuracy of the proposed approximations by reducing the true errors,we incorporate the so-called Romberg integration,which is an extrapolation formula of the Trapezoidal rule for integration,into our proposed *** numerical examples are provided and compared with a modern definition of the Riemann-Liouville fractional integral operator to illustrate the efficacy of our scheme.

关键词： Composite fractional Trapezoidal rule Romberg integration

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UNet Based onMulti-Object Segmentation and Convolution Neural Network for Object Recognition

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Computers, Materials & Continua 2024年第7期80卷 1563-1580页

作者： Nouf Abdullah almujally Bisma Riaz Chughtai Naif al Mudawi Abdulwahab alazeb Asaad algarni Hamdan A.alzahrani Jeongmin Park Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Information Technology Department College of Computing and InformaticsSaudi Electronic UniversityRiyadh13316Saudi Arabia Department of Computer Engineering Korea Polytechnic UniversitySiheung-siGyeonggi-do237Republic of Korea

The recent advancements in vision technology have had a significant impact on our ability to identify multiple objects and understand complex *** technologies,such as augmented reality-driven scene integration,robotic navigation,autonomous driving,and guided tour systems,heavily rely on this type of scene *** paper presents a novel segmentation approach based on the UNet network model,aimed at recognizing multiple objects within an *** methodology begins with the acquisition and preprocessing of the image,followed by segmentation using the fine-tuned UNet ***,we use an annotation tool to accurately label the segmented *** labeling,significant features are extracted from these segmented objects,encompassing KAZE(Accelerated Segmentation and Extraction)features,energy-based edge detection,frequency-based,and blob *** the classification stage,a convolution neural network(CNN)is *** comprehensive methodology demonstrates a robust framework for achieving accurate and efficient recognition of multiple objects in *** experimental results,which include complex object datasets like MSRC-v2 and PASCal-VOC12,have been *** analyzing the experimental results,it was found that the PASCal-VOC12 dataset achieved an accuracy rate of 95%,while the MSRC-v2 dataset achieved an accuracy of 89%.The evaluation performed on these diverse datasets highlights a notably impressive level of performance.

关键词： UNet segmentation blob fourier transform convolution neural network

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Metabolomic changes in children with autism

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World Journal of Clinical Pediatrics 2024年第2期13卷 171-197页

作者： Mohammed al-Beltagi Nermin Kamal Saeed Adel Salah Bediwy Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Pediatric University Medical CenterDr.Sulaiman Al Habib Medical GroupManamaBahrainManama 26671Bahrain Medical Microbiology Section Department of PathologySalmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12Bahrain Medical Microbiology Section Department of PathologyIrish Royal College of SurgeonBahrainBusaiteen 15503MuharraqBahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527AlghrabiaEgypt Department of Chest Disease University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671Bahrain Department of Chest Disease University Medical CenterDr.Sulaiman Al Habib Medical GroupManamaManama 26671Bahrain Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503MuharraqBahrain

BACKGROUND Autism spectrum disorder(ASD)is a neurodevelopmental condition characterized by deficits in social communication and repetitive *** profiling has emerged as a valuable tool for understanding the underlying metabolic dysregulations associated with *** To comprehensively explore metabolomic changes in children with ASD,integrating findings from various research articles,reviews,systematic reviews,meta-analyses,case reports,editorials,and a book *** A systematic search was conducted in electronic databases,including PubMed,PubMed Central,Cochrane Library,Embase,Web of Science,CINAHL,Scopus,LISA,and NLM catalog up until January *** criteria encompassed research articles(83),review articles(145),meta-analyses(6),systematic reviews(6),case reports(2),editorials(2),and a book chapter(1)related to metabolomic changes in children with *** criteria were applied to ensure the relevance and quality of included *** The systematic review identified specific metabolites and metabolic pathways showing consistent differences in children with ASD compared to typically developing *** metabolic biomarkers may serve as objective measures to support clinical assessments,improve diagnostic accuracy,and inform personalized treatment *** profiling also offers insights into the metabolic alterations associated with comorbid conditions commonly observed in individuals with *** Integration of metabolomic changes in children with ASD holds promise for enhancing diagnostic accuracy,guiding personalized treatment approaches,monitoring treatment response,and improving *** research is needed to validate findings,establish standardized protocols,and overcome technical challenges in metabolomic *** advancing our understanding of metabolic dysregulations in ASD,clinicians can improve the lives of affected individuals and their families.

关键词： Autism spectrum disorder Metabolic dysregulations Metabolomic changes Children Mitochondrial dysfunction Oxidative stress Amino acids

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用于提升全水解性能的超低含量Ru掺杂NiMoO_(4)@Ni_(3)(PO_(4))_(2)核壳纳米结构

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Chinese Journal of Catalysis 2024年第5期60卷 360-375页

作者： Adel al-Salihy 梁策 Abdulwahab Salah Abdel-Basit al-Odayni 卢子昂陈孟新刘倩倩徐平哈尔滨工业大学化工与化学学院新能源转化与存储关键材料工业和信息化部重点实验室黑龙江哈尔滨150001 东北师范大学化学学院动力电池国家地方联合工程实验室吉林长春130024 沙特国王大学牙科学院修复性牙科科学系沙特阿拉伯利雅得

随着全球能源危机和环境污染日益加剧,开发可持续的绿色能源技术已经成为当务之急.其中,水分解制氢作为一种清洁能源的生产方式,因其零排放和高能量密度的特点,而受到广泛的研究和关注.析氢反应(HER)和析氧反应(OER)是水分解过程的关键... 详细信息

随着全球能源危机和环境污染日益加剧,开发可持续的绿色能源技术已经成为当务之急.其中,水分解制氢作为一种清洁能源的生产方式,因其零排放和高能量密度的特点,而受到广泛的研究和关注.析氢反应(HER)和析氧反应(OER)是水分解过程的关键步骤,它们的反应效率直接影响整个制氢过程的能量转换效率.因此,开发高效的双功能电催化剂对于推动水分解技术的发展具有重要意义.本文制备了一种超低Ru掺杂的新型核壳纳米结构电催化剂,该催化剂生长在泡沫镍(NF)上,简称Ru-NiMoO_(4)@Ni_(3)(PO_(4))_(2)/NF.首先,通过水热法在NF上均匀生长了水合NiMoO_(4)纳米柱,并通过共价相互作用,确保其在垂直方向上有序排列.随后,采用超低浓度的RuCl_(3)对NiMoO_(4)纳米柱进行蚀刻,并通过磷酸化反应引入(PO_(4))^(3+)离子形成了Ni_(3)(PO_(4))_(2)壳层.这种设计克服了以往Ru易团聚的难题,保障了Ru的均匀分布,从而合成Ru-NiMoO_(4)@Ni_(3)(PO_(4))_(2)/NF催化剂.通过X-射线衍射、X-射线光电子能谱及透射电子显微镜等对催化剂的化学组分和微观结构进行了分析,证实其成功制备.元素分析结果表明,催化剂中Ru的含量仅为1.94 wt%,显著降低了其制备成本.电化学测试结果表明,该催化剂在HER和OER中均表现出较好的催化活性.在10和100 mA cm^(−2)电流密度下,HER的过电位分别为−14.8和−57.1 mV,Tafel斜率为35.8 mV dec^(-1),优于商业Pt/C催化剂;在100 mA cm^(−2)电流密度下,OER过电位为259.7 mV,Tafel斜率为21.6 mV dec^(−1),优于商业RuO_(2)催化剂.在全水解测试中,该催化剂在10和100 mA cm^(−2)时所需的电池电压分别为1.43和1.68 V,与其他自支撑材料相比表现出良好的性能.此外,该催化剂在150 h性能测试过程中表现出较好的稳定性.采用密度泛函理论计算研究了催化剂具有较好活性的内在机制.结果表明,其具有低水离解能垒(ΔGb=0.46 eV),接近零的HER自由吸附能(∆G*H=0.02 eV),低的OER自由吸附能量(ΔG*OOH−ΔG*OH=2.74 eV)和接近费米能级的高密度态.这些特性共同促进了电解水反应的高效进行.综上,本文研究开发的Ru-NiMoO_(4)@Ni_(3)(PO_(4))_(2)/NF双功能催化剂具有较好的催化活性、低电位需求和长期稳定性,为氢气生产开辟了新途径,也为优化双功能水分解催化剂提供了新视角,并为未来可持续能源应用发展提供一定的参考.

关键词：电催化核壳结构掺杂密度泛函理论析氢反应析氧反应分解水

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Fecal calprotectin in pediatric gastrointestinal diseases:Pros and cons

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World Journal of Clinical Pediatrics 2024年第2期13卷 198-220页

作者： Mohammed al-Beltagi Nermin Kamal Saeed Adel Salah Bediwy Reem Elbeltagi Department of Pediatric Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatrics University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pediatrics University Medical CenterDr.Sulaiman Al Habib Medical GroupBahrainManama 26671ManamaBahrain Medical Microbiology Section Department of PathologySalmaniya Medical ComplexMinistry of HealthKingdom of BahrainManama 12ManamaBahrain Medical Microbiology Section Department of PathologyIrish Royal College of SurgeonBahrainBusaiteen 15503MuharraqBahrain Department of Pulmonology Faculty of MedicineTanta UniversityTanta 31527AlghrabiaEgypt Department of Pulmonology University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671ManamaBahrain Department of Pulmonology University Medical CenterKing Abdulla Medical CityDr.Sulaiman Al Habib Medical GroupManama 26671ManamaBahrain Department of Medicine The Royal College of Surgeons in Ireland-BahrainBusiateen 15503MuharraqBahrain

BACKGROUND Fecal calprotectin is a valuable biomarker for assessing intestinal inflammation in pediatric gastrointestinal ***,its role,pros,and cons in various conditions must be comprehensively *** To explore the role of fecal calprotectin in pediatric gastrointestinal diseases,including its advantages and *** A comprehensive search was conducted on PubMed,PubMed Central,Google Scholar,and other scientific research engines until February 24,*** review included 88 research articles,56 review articles,six metaanalyses,two systematic reviews,two consensus papers,and two letters to the *** Fecal calprotectin is a non-invasive marker for detecting intestinal inflammation and monitoring disease activity in pediatric conditions such as functional gastrointestinal disorders,inflammatory bowel disease,coeliac disease,coronavirus disease 2019-induced gastrointestinal disorders,gastroenteritis,and cystic fibrosis-associated intestinal ***,its lack of specificity and susceptibility to various confounding factors pose challenges in *** these limitations,fecal calprotectin offers significant advantages in diagnosing,monitoring,and managing pediatric gastrointestinal *** Fecal calprotectin holds promise as a valuable tool in pediatric gastroenterology,offering insights into disease activity,treatment response,and *** protocols and guidelines are needed to optimize its clinical utility and mitigate interpretation *** research is warranted to address the identified limitations and enhance our understanding of fecal calprotectin in pediatric gastrointestinal diseases.

关键词： Fecal calprotectin Pediatric gastrointestinal diseases Functional gastrointestinal disorders Inflammatory bowel disease Coeliac disease COVID-19-induced gastrointestinal disorders Infectious gastroenteritis Cystic fibrosis

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