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| 1 | Photocatalysis vs adsorption by metal oxide nanoparticles显示文摘Background:Metal oxide(MO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water treatment.Because of their controlled morphologies,texture qualities,variable surface chemistry,distinct crystalline nature,high stability,and tunable band edges,MO nanostructured materials are highly selective towards deleting organic contaminants and heavy metal ions via adsorption and semiconductor photocatalysis.Metal-enhanced photocatalysis has recently received increasing interest,mainly due to the ability of the metal to directly or indirectly degrade pollutants.A diverse selection of MOs,with titanium dioxide(Ti O2),zinc oxide(Zn O),iron oxides(IO),and tungsten(W),as well as graphene-MOs nanocomposites with variable structure,crystalline,and morphological properties,offers a powerful platform for the growth of effective catalysts.Methods:The current work discusses novel advancements and potential for the removal of adsorptive and photocatalytic degradation of organic compounds(phenolic,pesticide molecules,dyes,and so on)as well as heavy metal ions using semiconductor materials.A photocatalyst based on a MO-scheme heterostructure can manage the appropriate conduction band(CB)and valence band(VB)locations,securing considerable redox aptitude.This review should be of interest to the broad readership dealing with applied and fundamental aspects of water treatments and material sciences.Various strategies including surface modification,plasmonic enhancement,and metal cocatalysts have been introduced to enhance photocatalytic performance.Significant findings:The current article discussed the significantly utilized synthesis strategies and mechanism of heterojunction photocatalysts using a Z-scheme.Furthermore,adsorption sections guarantee that mercury,chromium,cadmium,arsenic,and lead-based ions are successfully removed from polluted water via the adsorption route.Numerous characteristics,such as concentration,coexisting ions,p H,and kind of chemical have converged to comprehend the adsorption procedure.The technological challenges and future approaches are discussed to maximize the photocatalytic and adsorption efficacy and the reusability of MO-based nanomaterials for water security. | Usman Qumar Jahan Zeb Hassan Rukhsar Ahmad Bhatti Ali Raza Ghazanfar Nazir Walid Nabgan Muhammad Ikram | 2022 | Journal of Materials Science & Technology2022，，36： | 1 |
| 2 | Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges显示文摘Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic outbreaks.This review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their performance.Since,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by SM.This paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic outbreaks.DL has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation results.In recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM analysis.This paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM analysis.Finally,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed. | Samina Amin Muhammad Ali Zeb Hani Alshahrani Mohammed Hamdi Mohammad Alsulami Asadullah Shaikh | 2024 | Computer Modeling in Engineering & Sciences2024，139，5： | 0 |
| 3 | Analysis of Pneumonia Model via Efficient Computing Techniques显示文摘Pneumonia is a highly transmissible disease in children.According to the World Health Organization(WHO),the most affected regions include south Asia and sub-Saharan Africa.Worldwide,15%of pediatric deaths can be attributed to pneumonia.Computing techniques have a significant role in science,engineering,and many other fields.In this study,we focused on the efficiency of numerical techniques via computer programs.We studied the dynamics of the pneumonia-like infections of epidemic models using numerical techniques.We discuss two types of analysis:dynamical and numerical.The dynamical analysis included positivity,boundedness,local stability,reproduction number,and equilibria of the model.We also discusswell-known computing techniques including Euler,Runge Kutta,and non-standard finite difference(NSFD)for the model.The non-standard finite difference(NSFD)technique shows convergence to the true equilibrium points of the model for any time step size.However,Euler and Runge Kutta do not work well over large time intervals.Computing techniques are the suitable tool for crosschecking the theoretical analysis of the model. | Kamaledin Abodayeh Ali Raza Muhammad Rafiq Muhammad Shoaib Arif Muhammad Naveed Zunir Zeb Syed Zaheer Abbas Kiran Shahzadi Sana Sarwar Qasim Naveed Badar Ul Zaman Muhammad Mohsin | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 4 | A novel homozygous frameshift variant in DNAH8 causes multiple morphological abnormalities of the sperm flagella in a consanguineous Pakistani family显示文摘Multiple morphological abnormalities of the sperm flagella(MMAF)is a severe form of asthenozoospermia categorized by immotile spermatozoa with abnormal flagella in ejaculate.Whole-exome sequencing(WES)is used to detect pathogenic variants in patients with MMAF.In this study,a novel homozygous frameshift variant(c.6158_6159insT)in dynein axonemal heavy chain 8(DNAH8)from two infertile brothers with MMAF in a consanguineous Pakistani family was identified by WES.Reverse transcription-polymerase chain reaction(RT-PCR)confirmed DNAH8 mRNA decay in these patients with the DNAH8 mutation.Hematoxylin–eosin staining and transmission electron microscopy revealed highly divergent morphology and ultrastructure of sperm flagella in these patients.Furthermore,an immunofluorescence assay showed the absence of DNAH8 and a reduction in its associated protein DNAH17 in the patients'spermatozoa.Collectively,our study expands the phenotypic spectrum of patients with DNAH8-related MMAF worldwide. | Sobia Dil Asad Khan Ahsanullah Unar Meng-Lei Yang Imtiaz Ali Aurang Zeb Huan Zhang Jian-Teng Zhou Muhammad Zubair Khalid Khan Shun Bai Qing-Hua Shi | 2023 | Asian Journal of Andrology2023，25，3： | 0 |
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