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Elemental mercury (Hg^(0)) removal from coal syngas using magnetic tea-biochar: Experimental and theoretical insights

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Journal of Environmental Sciences 2022年第12期34卷 150-161页

作者： adnan Raza Altaf Yusuf GAdewuyi Haipeng Teng Gang Liu Fazeel Abid School of Chemical Engineering Northwest University Xi’an 710069China Chemical Biological and Bio Engineering DepartmentNorth Carolina Agricultural and Technical State UniversityGreensboroNC 27411USA State Key Laboratory of Clean Coal-based Energy China Huaneng Group Clean Energy Research Institute Co.Ltd.Changping DistrictBeijing 102209China Department of Information System Dr Hassan Murad School of ManagementUniversity of Management and TechnologyLahore 54770Pakistan

Mercury is ranked 3^(rd)as a global pollutant because of its long persistence in the environment. Approximately 65% of its anthropogenic emission (Hg^(0)) to the atmosphere is from coal-thermal power plants. Thus, the Hg^(0)emission control from coal-thermal power plants is inevitable. Therefore, multiple sorbent materials were synthesized using a one-step pyrolysis method to capture the Hg^(0)from simulated coal syngas. Results showed, the Hg^(0)removal performance of the sorbents increased by the citric acid/ultrasonic application.T5CUF_(0.3)demonstrated the highest Hg^(0)capturing performance with an adsorption capacity of 106.81 μg/g within 60 min at 200 °C under complex simulated syngas mixture (20% CO,20% H_(2), 10 ppm V HCl, 6% H_(2)O, and 400 ppm V H_(2)S). The Hg^(0)removal mechanism was proposed, revealing that the chemisorption governs the Hg^(0)removal process. Besides, the active Hg^(0)removal performance is attributed to the high dispersion of valence Fe_(3)O_(4)and lattice oxygen (α) contents over the T5CUF_(0.3)surface. In addition, the temperature programmed desorption (TPD) and XPS analysis confirmed that H_(2)S/HCl gases generate active sites over the sorbent surface, facilitating high Hg^(0)adsorption from syngas. This work represented a facile and practical pathway for utilizing cheap and eco-friendly tea waste to control the Hg^(0)emission.

关键词： Mercury removal Waste management Citric acid Ultrasound Coal gasification TPD analysis

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Photosensitive peptide hydrogels as smart materials for applications

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Chinese Chemical Letters 2018年第7期29卷 1098-1104页

作者： Dongdong Wu Xian Xie adnan A.Kadi Yan Zhang State Key Laboratory of Analytical Chemistry for Life Sciences School of Chemistry and Chemical Engineering Nanjing University Department of Pharmaceutical Chemistry College of Pharmacy King Saud University

Photosensitive peptide hydrogels(PPHs) which allow photo-modulation on the self-assembly of peptides were broadly developed over the recent decades. The real-time and spatial modulation of hydrogel properties upon non-contact light illumination, allow the PPHs serving as super "smart" soft ***, we briefly summarized the PPHs preparing from the integration of diverse photosensitive moieties with peptides through gelation abilities, "smart" manner and applications. Moreover, a novel type of PPHs based on intramolecular biorthogonal photo-click reaction developed by our group has been demonstrated with relative mechanism and applications.

关键词： Photosensitive hydrogel Peptide Self-assembly Smart materials Tetrazole

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Deep Learning Framework for Precipitation Prediction Using Cloud Images

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Computers, Materials & Continua 2022年第8期72卷 4201-4213页

作者： Mirza adnan Baig Ghulam Ali Mallah Noor Ahmed Shaikh Shah Abdul Latif University Khairpur77150Pakistan

Precipitation prediction(PP)have become one of the significant research areas of deep learning(DL)and machine vision(MV)techniques are frequently used to predict the weather variables(WV).Since the climate change has left significant impact upon weather variables(WV)and continuously changes are observed in temperature,humidity,cloud patterns and other *** cloud images contain sufficient information to predict the precipitation pattern but due to changes in climate,the complex cloud patterns and rapid shape changing behavior of clouds are difficult to consider for rainfall *** of rainfall would provide more meticulous assistance to the farmers to know about the weather conditions and to care their cash *** research proposes a framework to classify the dark cloud patterns(DCP)for prediction of *** framework consists upon three steps to classify the cloud images,first step tackles noise reduction operations,feature selection and preparation of *** step construct the decision model by using convolutional neural network(CNN)and third step presents the performance visualization by using confusion matrix,precision,recall and accuracy *** research contributes(1)real-world clouds datasets(2)method to prepare datasets(3)highest classification accuracy to predict estimated as 96.90%.

关键词： Machine vision SIFT features dark cloud patterns precipitation agriculture

Epidemic of non-alcoholic fatty liver disease and hepatocellular carcinoma

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World Journal of Clinical Oncology 2017年第6期8卷 429-436页

作者： adnan Said Aiman Ghufran Division of Gastroenterology and Hepatology Department of Medicine William S. Middleton VAMC University of Wisconsin School of Medicine and Public Health Gastroenterology and Hepatology Medical College of Wisconsin

Non-alcoholic fatty liver disease(NAFLD) associated hepatocellular carcinoma(HCC) incidence is increasing worldwide, paralleling the obesity epidemic. Although most cases are associated with cirrhosis, HCC can occur without cirrhosis in NAFLD. Diabetes and obesity are associated risk factors for HCC in patients. Given the sheer magnitude of the underlying risk factors(diabetes, obesity, non-cirrhotic NAFLD) screening for HCC in the non-cirrhotic population is not recommended. Optimal screening strategies in NAFLD cirrhosis are not completely elucidated with Ultrasound having significant limitations in detection of liver lesions in the presence of obesity and steatosis. Consequently NAFLD-HCC is more often diagnosed at a later stage with larger tumors and reduced opportunities for curative treatments as opposed to HCC in other causes of cirrhosis. When HCC is found at a curative stage treatments including liver transplantation, resection and loco-regional therapies are associated with good results similar to that seen in HCV-HCC. Future strategies under study include the use of chemopreventive and antioxidant agents to reduce development of cirrhosis and non-alcoholic steatohepatitis(NASH). Strategies to reverse NASH via weight loss, control of associated conditions like diabetes are key strategies in reducing the increasing incidence of NASH-HCC. Novel therapeutic agents for NASH are in trials and if successful in achieving reversal of NASH will be an important strategy in reducing NAFLD-HCC.

关键词： Non-alcoholic fatty liver disease Hepatocellular carcinoma Screening Epidemiology Pathophysiology Diagnosis Liver transplant Resection Locoregional therapy Treatment

Faecal sterols as sewage markers in the Langat River,Malaysia:Integration of biomarker and multivariate statistical approaches

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Journal of Environmental Sciences 2012年第9期24卷 1600-1608页

作者： Nur Hazirah adnan Mohamad Pauzi Zakaria Hafizan Juahir Masni Mohd Ali Centre of Excellence for Environmental Forensics Faculty of Environmental StudiesUniversiti Putra Malaysia 43400 SerdangSelangorMalaysia Department of Environmental Sciences Faculty of Environmental StudiesUniversiti Putra Malaysia43400 SerdangSelangorMalaysia School of Environmental and Natural Resource Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia

The Langat River in Malaysia has been experiencing anthropogenic input from urban, rural and industrial activities for many years. Sewage contamination, possibly originating from the greater than three million inhabitants of the Langat River Basin, were examined. Sediment samples from 22 stations （SL01-SL22） along the Langat River were collected, extracted and analysed by GC-MS. Six different sterols were identified and quantified. The highest sterol concentration was found at station SL02 （618.29 ng/g dry weight）, which situated in the Balak River whereas the other sediment samples ranged between 11.60 and 446.52 ng/g dry weight. Sterol ratios were used to identify sources, occurrence and partitioning of faecal matter in sediments and majority of the ratios clearly demonstrated that sewage contamination was occurring at most stations in the Langat River. A multivariate statistical analysis was used in conjunction with a combination of biomarkers to better understand the data that clearly separated the compounds. Most sediments of the Langat River were found to contain low to mid-range sewage contamination with some containing ＇significant＇ levels of contamination. This is the first report on sewage pollution in the Langat River based on a combination of biomarker and multivariate statistical approaches that will establish a new standard for sewage detection using faecal sterols.

关键词： sterols biomarkers surface sediments sewage pollution Langat River principal component analysis

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Classification with ensembles and case study on functional magnetic resonance imaging

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Digital Communications and Networks 2022年第1期8卷 80-86页

作者： adnan OM.Abuassba Zhang Dezheng Hazrat Ali Fan Zhang Khan Ali Department of Computer Science Arab Open University-PalestineRamallahPalestine Department of Computer Science and Communication Engineering University of Science and Technology BeijingChina and Beijing Key Laboratory of Knowledge Engineering for Materials ScienceBeijing100083China Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabadPakistan

The ensemble is a technique that strategically combines basic models to achieve better accuracy ***,combination methods,and selection topology are the main factors determining ensemble ***,it is a challenging task to design an efficient ensemble *** though numerous paradigms have been proposed to classify ensemble schemes,there is still much room for *** paper proposes a general framework for creating ensembles in the context of ***,the ensemble framework consists of four stages:objectives,data preparing,model training,and model *** is comprehensive to design diverse *** proposed ensemble approach can be used for a wide variety of machine learning *** validate our approach on real-world *** experimental results show the efficiency of the proposed approach.

关键词： Classification Ensemble learning Extreme learning machine

Verification of Session Initiation Protocol Using Timed Colored Petri Net

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International Journal of Communications, Network and System Sciences 2011年第3期4卷 170-179页

作者： Safiye Kizmaz Mürvet kirci Electronics&Communication Engineering Department Istanbul Technical UniversityIstanbulTurkey

In this work, Session Initiation Protocol model is established by using Timed Colored Petri Nets (TCPN). SIP (Session Initiation Protocol) is a protocol developed to assist in providing advanced telephony services across the Internet. The Session Initiation Protocol (SIP) has become the quasi-standard for Voiceover-Internet Protocol (VoIP) communications. SIP is based on a client–server infrastructure in which user agents represent the end-terminals as clients, proxy servers handle SIP message routing between the user agents, and registrar servers store the client’s contact information into a location service. By use of timed color set and useful time attributes in tokens defined in CPN tools, timer and time-related problems of SIP are modeled and analyzed. Timer is an important part for SIP, especially the INVITE transaction.

关键词： Session Initiation Protocol Timed Colored Petri Nets Protocol Verification CPN Tool

A Methodology for Comparison of User Reviews with Rating of Android Apps using Sentiment Analysis

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A Methodology for Comparison of User Reviews with Rating of ...

作者： adnan Muhammad 西南科技大学

学位级别：硕士

每天有数百万的应用程序由开发者上传,成千上百的用户没有检查这些应用程序是否被复制的而直接下载它。这些应用程序攻击了用户的个人信息,损害了用户对谷歌store的信任,也给用户造成了损失。总之,这里有一些由play store提供的有关这... 详细信息

每天有数百万的应用程序由开发者上传,成千上百的用户没有检查这些应用程序是否被复制的而直接下载它。这些应用程序攻击了用户的个人信息,损害了用户对谷歌store的信任,也给用户造成了损失。总之,这里有一些由play store提供的有关这些应用程序的信息。谷歌playstore允许用户下载应用程序,并以评分和文本评论的形式给他反馈。最近的一项研究分析了用户的需求;改进的想法、用户对特定功能的看法和对体验的描述对应用程序开发人员是有益的。然而,许多应用程序审查是广泛和复杂的手动处理。对整个应用程序进行星级评定,而开发人员无法对单个特性进行分析。谷歌playstore允许用户下载应用程序,并以评分和文本评论的形式给他反馈。最近的一项研究分析了用户的需求;改进的想法、用户对应用程序特殊功能的看法以及对应用程序开发者有益的体验描述。然而,许多应用程序的检验是广泛而又复杂的手动处理的事情。由于这是对整个应用程序进行的星级反馈,开发者就无法对单个特殊功能进行分析。我曾经分析过,与用户评论相比,星级评价并不真实,因为用户了解了应用程序之后,他们会根据自己的个人经验进行评价。所以我面临的主要问题是,大多数评价图中显示最高排名的应用程序在观点评论分析图中并不占最高位。在这项研究中,我通过不同的数据检索技术获取了成千上万的用户评论。我对这些用户评论应用了文本分类。我用不同的机器学习技术检查了有多少积极的、消极的和中等的评论,通过这些评论给应用程序排了名。我分析了平均观点分析和应用程序平均评论级别之间的相关性。

关键词：机器学习自然语言处理文本挖掘语义分析抓取谷歌播放存储评级测量和分析 TF/IDF

Automated Patient Discomfort Detection Using Deep Learning

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Computers, Materials & Continua 2022年第5期71卷 2559-2577页

作者： Imran Ahmed Iqbal Khan Misbah Ahmad Awais adnan Hanan Aljuaid Center of Excellence in Information Technology Institute of Management SciencesPeshawarPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)RiyadhSaudi Arabia

The Internet of Things(IoT)has been transformed almost all fields of life,but its impact on the healthcare sector has been *** IoTbased sensors are used in the healthcare sector and offer quality and safe care to *** work presents a deep learning-based automated patient discomfort detection system in which patients’discomfort is non-invasively *** do this,the overhead view patients’data set has been *** testing and evaluation purposes,we investigate the power of deep learning by choosing a Convolution Neural Network(CNN)based *** model uses confidence maps and detects 18 different key points at various locations of the body of the *** association rules and part affinity fields,the detected key points are later converted into six main body ***,the distance of subsequent key points is measured using coordinates ***,distance and the time-based threshold are used for the classification of movements associated with discomfort or normal *** accuracy of the proposed system is assessed on various test *** experimental outcomes reveal the worth of the proposed system’by obtaining a True Positive Rate of 98%with a 2%False Positive Rate.

关键词： Artificial intelligence patient monitoring discomfort detection deep learning