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Unraveling the dose-response puzzle of ***:A mechanistic approach

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Infectious Disease modelling 2016年第1期1卷 101-114页

作者： S.m.Ashrafur Rahman Daniel munther aamir Fazil Ben Smith Jianhong Wu Laboratory for Industrial and Applied mathematics Centre for Disease ModellingDepartment of Mathematics and StatisticsYork UniversityTorontoON M3J 1P3Canada Department of mathematics Cleveland State UniversityClevelandOH 44115United States National microbiology Laboratory Public Health Agency of CanadaGuelphON N1G 5B2Canada

Food-borne disease outbreaks caused by Listeria monocytogenes continue to impose heavy burdens on public health in North America and *** explore the threat *** presents to the elderly,pregnant woman and immuno-compromised individuals,many studies have focused on in-host infection mechanisms and risk evaluation in terms of dose-response ***,the connection of these two foci has received little attention,leaving risk prediction with an insufficient mechanistic ***,there is a critical need to quantifiably link in-host infection pathways with the doseresponse *** better understand these relationships,we propose a new mathematical model to describe the gastro-intestinal pathway of *** within the *** model dynamics are shown to be sensitive to inoculation doses and exhibit bistability *** the model to guinea pigs,we show how it provides useful tools to identify key parameters and to inform critical values of these parameters that are pivotal in risk *** preliminary analysis shows that the effect of gastroenvironmental stress,the role of commensal microbiota and immune cells are critical for successful infection of *** and for dictating the shape of the doseresponse curves.

关键词： L.monocytogenes Dose-response mechanistic model Bi-stable Guinea pig

Recent advances on Porous materials for Synergetic adsorption and Photocatalysis

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Energy & Environmental materials 2022年第3期5卷 711-730页

作者： Tianqi Wang Bingbing Tian Bin Han Dingren ma mingzhe Sun aamir Hanif Dehua Xia Jin Shang International Collaborative Laboratory of 2D materials for Optoelectronics Science and Technology of ministry of Education Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060China School of Energy and Environment City University of Hong KongTat Chee AvenueKowloonHong Kong China Institute of microscale Optoelectronics Shenzhen UniversityShenzhen 518060China Key Laboratory for City Cluster Environmental Safety and Green Development of the ministry of Education Institute of Environmental and Ecological EngineeringGuangdong University of TechnologyGuangzhou 510006China School of Environmental Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275China City University of Hong Kong Shenzhen Research Institute Nanshan District8 Yuexing 1st RoadShenzhen Hi−Tech Industrial ParkShenzhen 518060China Department of Chemistry Islamic University of Science and TechnologyAwantipora 192122India

Porous photocatalysts are promising materials capable of simultaneously adsorbing and oxidizing/reducing target species,showing great potentials in environmental remediation and energy *** review offered a comprehensive overview of the recent progress in design,fabrication,and applications of porous photocatalysts,including carbon-based semiconductors,metal oxides/sulfides,metal–organic frameworks,and adsorbent–photocatalyst *** fundamental understanding of the structure–performance relationships of porous materials together with the in-depth insights into the synergetic effects between adsorption and photocatalysis was *** strategies to further improve the photocatalytic activity of porous photocatalysts were *** review would provide references and outlooks of constructing efficient porous materials for adsorptive and photocatalytic removal of pollutants and energy production.

关键词： adsorption photocatalysis porous materials synergetic effect

A Novel Inherited modeling Structure of Automatic Brain Tumor Segmentation from mRI

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Computers, materials & Continua 2022年第11期73卷 3983-4002页

作者： Abdullah AAsiri Tariq Ali Ahmad Shaf m.ham.ad aamir m.ham.ad Shoaib m.ham.ad Irfan Hassan A.Alshamrani Fawaz F.Alqahtani Osama m.Alshehri Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Informatics and Systems University of Management and TechnologyLahore54000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Department of Clinical Laboratory Sciences Collage of Applied Medical ScienceNajran UniversityNajranSaudi Arabia

Brain tumor is one of the most dreadful worldwide types of cancer and affects people leading to *** resonance imaging methods capture skull images that contain healthy and affected *** checked the affected tissue in the slice-by-slice manner,which was timeconsuming and hectic ***,auto segmentation of the affected part is needed to facilitate ***,we have considered a hybrid model that inherits the convolutional neural network(CNN)properties to the support vector machine(SVm)for the auto-segmented brain tumor *** CNN model is initially used to detect brain tumors,while SVm is integrated to segment the tumor region *** proposed method was evaluated on a publicly available BraTS2020 *** statistical parameters used in this work for the mathematical measures are precision,accuracy,specificity,sensitivity,and dice ***,our method achieved an accuracy value of 0.98,which is most prominent than existing ***,the proposed approach is more suitable for medical experts to diagnose the early stages of the brain tumor.

关键词： Brain tumor support vector machine convolutional neural network BraTS classification

Temperature trends and elevation dependent warming during 1965-2014 in headwaters of Yangtze River, Qinghai Tibetan Plateau

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Journal of mountain Science 2020年第3期17卷 556-571页

作者： Naveed AHmED WANG Gen-xu adeyeri OLUWAFEmI Sarfraz mUNIR HU Zhao-yong aamir SHAKOOR m.ham.ad Ali ImRAN Key Laboratory of mountain Surface Process and Ecological Regulations Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Institute for meteorology and Climate Research Atmospheric Environmental Research Karlsruhe Institute of TechnologyCampus Alpine82467Germany Water Resources Engineering University of Kurdistan Hewler 30 meter Avenue ErbilKurdistan44001Iraq Department of Agricultural Engineering Bahauddin Zakariya UniversityMultan66000Pakistan Beijing Key Laboratory of Water Resources and Environmental Engineering China University of GeosciencesBeijing 100083China

The understanding of temperature trends in high elevation mountain areas is an integral part of climate change research and it is critical for assessing the impacts of climate change on water resources including glacier melt, degradation of soils, and active layer thickness. In this study, climate changes were analyzed based on trends in air temperature variables(Tmax, Tmin, Tmean), and Diurnal Temperature Range(DTR) as well as elevation-dependent warming at annual and seasonal scales in the Headwaters of Yangtze River(HWYZ), Qinghai Tibetan Plateau. The Base Period(1965-2014) was split into two subperiods;Period-Ⅰ(1965-1989) and Period-Ⅱ(1990-2014) and the analysis was constrained over two subbasins;Zhimenda and Tuotuohe. Increasing trends were found in absolute changes in temperature variables during Period-Ⅱ as compared to Period-Ⅰ.Tmax, Tmin, and Tmean had significant increasing trends for both sub-basins. The highest significant trends in annual time scale were observed in Tmin(1.15℃ decade-1) in Tuotuohe and 0.98℃ decade-1 in Zhimenda sub-basins. In Period-Ⅱ, only the winter season had the highest magnitudes of Tmax and Tmin0.58℃ decade-1 and 1.26℃ decade-1 in Tuotuohe subbasin, respectively. Elevation dependent warming analysis revealed that Tmax, Tmin and Tmean trend magnitudes increase with the increase of elevations in the middle reaches(4000 m to 4400 m) of the HWYZ during Period-Ⅱ annually. The increasing trend magnitude during Period-Ⅱ, for Tmax, is 1.77, 0.92, and 1.31℃ decade-1, for Tmin 1.20, 1.32 and 1.59℃ decade-1,for Tmean 1.51, 1.10 and 1.51℃ decade-1 at elevations of4066 m, 4175 m and 4415 m respectively in the winter season. Tmean increases during the spring season for> 3681 m elevations during Period-Ⅱ, with no particular relation with elevation dependency for other variables. During the summer season in Period Ⅱ, Tmax, Tmin, Tmean increases with the increase of elevations(3681 m to 4415 m) in the middle reaches of HWYZ. Elevation dependent wa

关键词： Climate change Elevation dependent warming mann Kendall Temperature trends Yangtze River Qinghai Tibetan Plateau

multi-Level Deep Generative adversarial Networks for Brain Tumor Classification on magnetic Resonance Images

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Intelligent Automation & Soft Computing 2023年第4期36卷 127-143页

作者： Abdullah A.Asiri Ahmad Shaf Tariq Ali m.ham.ad aamir Ali Usman m.ham.ad Irfan Hassan A.Alshamrani Khlood m.mehdar Osama m.Alshehri Samar m.Alqhtani Radiological Sciences Department College of Applied Medical SciencesNajran UniversityNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajranSaudi Arabia Department of Clinical Laboratory Sciences Collage of Applied Medical ScienceNajran UniversityNajranSaudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The brain tumor is an abnormal and hysterical growth of brain tissues,and the leading cause of death affected patients *** in this technol-ogy-based arena,brain tumor images with proper labeling and acquisition still have a problem with the accurate and reliable generation of realistic images of brain tumors that are completely different from the original *** artiﬁcially created medical image data would help improve the learning ability of physicians and other computer-aided systems for the generation of augmented *** over-come the highlighted issue,a Generative adversarial Network(GAN)deep learn-ing technique in which two neural networks compete to become more accurate in creating artiﬁcially realistic data for mRI *** GAN network contains mainly two parts known as generator and ***,a generator is the convolutional neural network,and a discriminator is the deconvolutional neural *** this research,the publicly accessible Contrast-Enhanced mag-netic Resonance Imaging(CE-mRI)dataset collected from 2005-to 2020 from different hospitals in China consists of four classes has been *** proposed method is simple and achieved an accuracy of 96%.We compare our technique results with the existing results,indicating that our proposed technique outper-forms the best results associated with the existing methods.

关键词： GAN network CE-mRI images convolutional neural network brain tumor classiﬁcation

Search for a lighter Higgs boson in the Next-to-minimal Supersymmetric Standard model

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Chinese Physics C 2018年第10期42卷 51-58页

作者： Jun-Quan Tao m.aamir Shahzad Si-Jing Zhang Chu Wang Yu-Qiao Shen Guo-ming Chen He-Sheng Chen S.Gascon-Shotkina L.Finco C.Camen Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China Institut de Physique Nucleaire de Lyon Universite de LyonUniversite Claude Bernard Lyon 1CNRS-IN2P3Villeurbanne 69622France Changzhou Institute of Technology Changzhou 213032China

Following the discovery of the Higgs boson with a mass of approximately 125 GeV at the LHC, many studies have been performed from both the theoretical and experimental viewpoints to search for a new Higgs Boson that is lighter than 125 GeV. We explore the possibility of constraining a lighter neutral scalar Higgs boson hi and a lighter pseudo-scalar Higgs boson al in the Next-to-minimal Supersymmetric Standard model by restricting the next-to-lightest scalar Higgs boson h2 to be the one observed at the LHC after applying the phenomenological constraints and those from experimental measurements. Such lighter particles are not yet completely excluded by the latest results of the search for a lighter Higgs boson in the diphoton decay channel from LHC data. Our results show that some new constraints on the Next-to-minimal Supersymmetric Standard model could be obtained for a lighter scalar Higgs boson at the LHC if such a search is performed by experimental collaborations and more data. The potentials of discovery for other interesting decay channels of such a lighter neutral scalar or pseudo-scalar particle are also discussed.

关键词： Next-to-minimal Supersymmetric Standard model lighter Higgs boson discovery potentials

Enhanced adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples

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Computer Systems Science & Engineering 2023年第8期46卷 1355-1369页

作者： Ali Usman Javed Ferzund Ahmad Shaf m.ham.ad aamir Samar Alqhtani Khlood m.mehdar Hanan Talal Halawani Hassan A.Alshamrani Abdullah A.Asiri m.ham.ad Irfan Department of Computer Science COMSATS University IslamabadSahiwal CampusSahiwal57000Pakistan Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Anatomy Department Medicine CollegeNajran UniversityNajran61441Saudi Arabia Computer Science Department College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Radiological Sciences Department College of Applied Medical Sciences and Information SystemsNajran UniversityNajran61441Kingdom of Saudi Arabia Electrical Engineering Department College of EngineeringNajran UniversityNajran61441Saudi Arabia

Assistive devices for disabled people with the help of Brain-Computer Interaction(BCI)technology are becoming vital bio-medical *** with physical disabilities need some assistive devices to perform their daily *** these devices,higher latency factors need to be addressed ***,the main goal of this research is to implement a real-time BCI architecture with minimum latency for command *** proposed architecture is capable to communicate between different modules of the system by adopting an automotive,intelligent data processing and classification ***-sky mind wave device has been used to transfer the data to our implemented server for command ***-Net Convolutional Neural Network(TN-CNN)architecture has been proposed to recognize the brain signals and classify them into six primary mental states for data *** collection and processing are the responsibility of the central integrated server for system load *** of implemented architecture and deep learning model shows excellent *** proposed system integrity level was the minimum data loss and the accurate commands processing *** training and testing results are 99%and 93%for custom model implementation based on *** proposed real-time architecture is capable of intelligent data processing unit with fewer errors,and it will benefit assistive devices working on the local server and cloud server.

关键词： Disable person electroencephalogram convolutional neural network brain signal classification

Urban constructed wetlands: Assessing ecosystem services and disservices for safe, resilient, and sustainable cities

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Frontiers of Engineering management 2023年第4期10卷 582-596页

作者： aamir mehmood SHAH Gengyuan LIU Yu CHEN Qing YANG Ningyu YAN Feni AGOSTINHO Cecilia mVBALmEIDA Biagio FGIANNETTI State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China Beijing Engineering Research Center for Watershed Environmental Restoration&Integrated Ecological Regulation Beijing 100875China advanced Interdisciplinary Institute of Environment and Ecology Beijing Normal UniversityZhuhai 519087China Key Laboratory for City Environmental Safety and Green Development of the ministry of Education Institute of Environmental and Ecological EngineeringGuangdong University of TechnologyGuangzhou510006China Southern marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing100875China Programa de Pós-graduação em Engenharia de Produção Laboratório de Produção e Meio AmbienteUniversidade Paulista(UNIP)São Paulo04026-002Brazil

Climate change and rapid urbanization are pressing environmental and social concerns, with approximately 56% of the global population living in urban areas. This number is expected to rise to 68% by 2050, leading to the expansion of cities and encroachment upon natural areas, including wetlands, causing their degradation and fragmentation. To mitigate these challenges, green and blue infrastructures (GBIs), such as constructed wetlands, have been proposed to emulate and replace the functions of natural wetlands. This study evaluates the potential of eight constructed wetlands near Beijing, China, focusing on their ecosystem services (ESs), cost savings related to human health, growing/maintenance expenses, and disservices using an emergy-based assessment procedure. The results indicate that all constructed wetlands effectively purify wastewater, reducing nutrient concentrations (e.g., total nitrogen, total phosphorus, and total suspended solids). Among the studied wetlands, the integrated vertical subsurface flow constructed wetland (CW-4) demonstrates the highest wastewater purification capability (1.63E+14 sej/m^(2)/yr) compared to other types (6.78E+13 and 2.08E+13 sej/m^(2)/yr). additionally, constructed wetlands contribute to flood mitigation, groundwater recharge, wildlife habitat protection, and carbon sequestration, resembling the functions of natural wetlands. However, the implementation of constructed wetlands in cities is not without challenges, including greenhouse gas emissions, green waste management, mosquito issues, and disturbances in the surrounding urban areas, negatively impacting residents. The ternary phase diagram reveals that all constructed wetlands provide more benefits than costs and impacts. CW-4 shows the highest benefit-cost ratio, reaching 50%, while free water surface constructed wetland (CW-3) exhibits the lowest benefits (approximately 38%), higher impacts (approximately 25%), and lower costs (approximately 37%) compared to other we

关键词： constructed wetland emergy ecosystem services disservices ternary diagram

In vitro-in vivo correlation study on nimesulide loaded hydroxypropylmethylcellulose microparticles

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药学学报 2010年第6期45卷 772-777页

作者： Shujaat Ali KHAN mahmood AHmad Ghulam mURTAZA m.ham.ad Naeem aamir Rozina KOUSAR Fatima RASOOL Shahiq-u-ZAmAN Faculty of Pharmacy & Alternative medicine the Islamia University of Bahawalpur

This study involves mathematical simulation model such as in vitro-in vivo correlation(IVIVC) development for various extended release formulations of nimesulide loaded hydroxypropylmethylcellulose(HPmC) microparticles(m1,m2 and m3 containing 1,2,and 3 g HPmC,respectively and 1 g drug in each) having variable release *** vitro dissolution data of these formulations were correlated to their relevant in vivo absorption profiles followed by predictability worth analysis of these Level A *** was used as control formulation to validate developed formulations and their respective *** regression coefficients of IVIVC plots for m1,m2,m3 and Nimaran were 0.834 9,0.831 2,0.927 2 and 0.898 1,*** internal prediction error for all formulations was within limits,i.e.,mesulide loaded HPmC floating m3 *** other words,this mathematical simulation model is best fit for biowaiver studies which involves study parameters as those adopted for m3 because the value of its IVIVC regression coefficient is the closest to 1 as compared to m1 and m2.

关键词： nimesulide modelling HPmC Wagner-Nelson method