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Fast Degradation of Green Pollutants Through Nanonets and Nanofibers of the Al-Doped Zinc Oxide

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Acta Metallurgica Sinica(English Letters) 2018年第5期31卷 533-546页

作者： Osama Saber h.ifa alomair Mohamed Abu-Abdeen Abdullah Aljaafari Faculty of Science King Faisal University Al-Hasa 31982P.O. Box 400 Saudi Arabia Egyptian Petroleum Research Institute P.O Box 11727 Nasr City Cairo Egypt Ministry of Education Al-Hasa 31982 Saudi Arabia

In this study, series of nanolayered structures of Zn–Al LDhs were prepared by urea hydrolysis. Nanofibers and nanonets of the Al-doped ZnO were formed via the decomposition of the nanolayers under high pressure and temperature. Nanospheres were also prepared for comparison. The different morphologies of the prepared nanomaterials were confirmed by several techniques. An improvement for the optical properties of the doped zinc oxides was observed through narrowing of their band gap energies because of transforming the nanolayers to nanonets and nanofibers. The photocatalytic activities of the prepared nanomaterials were studied through photocatalytic degradation of the pollutants of acid green dyes. Complete decolorization and mineralization of green dyes happened in the presence of the nanolayers and nanospheres within 4–6 h,while the nanonets and the nanofibers achieved the complete decolorization and degradation of the dyes at shorter time 1.3 h. These results could be explained though the kinetic study of the photocatalytic degradation of dyes. It was concluded that the nanonets and the nanofibers were very effective for the photocatalytic degradation of pollutants.

关键词： Al-doped ZnO nanolayers Nanofibers Nanonets Band gap energy Photocatalytic degradation Acid green dyes pollutants

Evaluation of the coupled impact of silicon oxide nanoparticles and low-salinity water on the wettability alteration of Berea sandstones

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石油勘探与开发:英文版 2023年第4期50卷 934-943页

作者： alomair Osamah AL-DOUSARI Mabkhout AZUBUIKE CNyeso GARROUCh Ali Department of Petroleum Engineering Kuwait UniversitySafat 13060Kuwait

This study investigated experimentally the coupled effects of hydrophilic SiO_(2) nanoparticles(NPs)and low-salinity water(LSW)on the wettability of synthetic clay-free Berea *** pressure,interfacial tension(IFT),contact angle,Zeta potential,and dynamic displacement measurements were performed at various NP mass fractions and brine *** *** of Mines(USBM)index was used to quantify the wettability ***,the NP stability and retention and the effect of enhanced oil recovery by nanofluid were *** results showed that LSW immiscible displacement with NPs altered the wettability toward more water *** the decreasing brine salinity and increasing NP mass fraction,the IFT and contact angle *** wettability alteration intensified most as the brine salinity decreased to 4000 mg/L and the NP mass fraction increased to 0.075%.Under these conditions,the resulting incremental oil recovery factor was approximately 13 percentage *** the brine salinity was 4000 mg/L and the NP mass fraction was 0.025%,the retention of NPs caused the minimum damage to permeability.

关键词： nanoparticle low-salinity water wettability alteration interfacial tension contact angle USBM index

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凝析气藏露点压力计算方法

石油勘探与开发 2020年第5期47卷 1016-1026页

作者： ALAROUJ Mutlaq alomair Osamah ELShARKAWY Adel 科威特大学石油工程系萨法特13060科威特

基于实验测量和文献调研建立了包含700多个样本的凝析气藏数据集,对常用的计算露点压力的经验关系式和状态方程进行了评估,并新建了一个经验关系式,对各种关系式及Peng-Robinson状态方程进行了对比评估和参数敏感性分析。研究表明,目前... 详细信息

基于实验测量和文献调研建立了包含700多个样本的凝析气藏数据集,对常用的计算露点压力的经验关系式和状态方程进行了评估,并新建了一个经验关系式,对各种关系式及Peng-Robinson状态方程进行了对比评估和参数敏感性分析。研究表明,目前常用的凝析气判别标准不够准确;Peng-Robinson状态方程不具有唯一解,受C7+组分的表征关系式和分割方案等多种因素的影响;应用于建立的数据集时,Nemeth-Kennedy关系式准确度最高,其次为Elsharkawy关系式和Godwin关系式,Shokir关系式由于无法用于不含C7+组分的样本,准确度最低;新建关系式的平均绝对误差、均方根误差和决定系数分别为7.6%,588和0.87,在统计学意义上优于前人4种关系式。通过与实验数据和Peng-Robinson状态方程模拟结果进行对比验证了新建关系式的准确性和有效性。

关键词：凝析气藏露点压力经验关系式状态方程

Association Rule Analysis-Based Identification of Influential Users in the Social Media

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Computers, Materials & Continua 2022年第12期73卷 6479-6493页

作者： Saqib Iqbal Rehan Khan hikmat Ullah Khan Fawaz Khaled Alarfaj Abdullah Mohammed alomair Muzamil Ahmed College of Engineering Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Al-HoufufSaudi Arabia

The exchange of information is an innate and natural process that assist in content *** networking sites emerge to enrich their users by providing the facility for sharing information and social *** extensive adoption of social networking sites also resulted in user content *** are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social *** is extensively used platform to share information,thoughts and opinions through posts and *** identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,*** research studies either uses linguistic content or graph-based representation of social network for the detection of influential *** this article,we incorporate association rule mining algorithms to identify the top influential users through frequent *** association rules have been computed using the standard evaluation measures such as support,confidence,lift,and *** verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules *** detailed experiments are carried out using the benchmark College-Msg dataset extracted by *** obtained results validate the quality and visibility of the proposed *** outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular *** preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

关键词： Association rule mining ranking social web influential users social media

Bee sting therapy-induced hepatotoxicity:A case report

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World Journal of hepatology 2011年第10期3卷 268-270页

作者： Adel Nazmi Alqutub Ibrahim Masoodi Khalid Alsayari Ahmed alomair Division of Gastroenterology and hepatology King Fahad Medical City

The use of bee venom as a therapeutic agent for the relief of joint pains dates back to hippocrates,and ref-erences to the treatment can be found in ancient Egyp-tian and Greek medical writings as *** known as apitherapy,the technique is widely used in Eastern Europe,Asia,and South *** beneficial effects of bee stings can be attributed to mellitinin,an anti-in-flammatory agent,known to be hundred times stronger than ***,certain substances in the bee venom trigger allergic reactions which can be life threatening in a sensitized *** stings are known to cause hemolysis,kidney injury,hepatotoxicity and myocardial *** toxicity can be immedi-ate or can manifest itself only weeks after the *** describe hepatotoxicity in a 35-year-old female,following bee sting therapy for multiple *** presented to our clinic 3 wk after therapy with a his-tory of progressive *** patient subsequently improved,and has been attending our clinic now for the last 9 mo.

关键词： Bee sting therapy hepatotoxicity Melli-tinin Prothombotic state

二氧化硅纳米颗粒与低矿化度水对Berea砂岩润湿性的影响

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石油勘探与开发 2023年第4期50卷 816-823页

作者： alomair Osamah AL-DOUSARI Mabkhout AZUBUIKE C.Nyeso GARROUCh Ali 科威特大学石油工程学院科威特萨法特13060

为了研究亲水SiO_(2)纳米颗粒与低矿化度水对无黏土人造Berea砂岩岩心润湿性的影响,在不同纳米颗粒质量分数和盐水矿化度下开展了毛管压力、界面张力、接触角和Zeta电位测试及动态驱替实验,采用美国矿务局(USBM)润湿性指数量化砂岩润湿... 详细信息

为了研究亲水SiO_(2)纳米颗粒与低矿化度水对无黏土人造Berea砂岩岩心润湿性的影响,在不同纳米颗粒质量分数和盐水矿化度下开展了毛管压力、界面张力、接触角和Zeta电位测试及动态驱替实验,采用美国矿务局(USBM)润湿性指数量化砂岩润湿性的改变,评估纳米颗粒的稳定性和滞留性及纳米流体提高原油采收率的效果。研究表明,SiO_(2)纳米颗粒与低矿化度水混合驱替可以使砂岩更加水湿。随盐水矿化度降低、纳米颗粒质量分数增加,油水界面张力和接触角均减小;当盐水矿化度降至4000 mg/L,纳米颗粒质量分数增至0.075%时,润湿性改变最为明显,此时原油采收率提高约13个百分点。盐水矿化度为4000 mg/L、SiO_(2)纳米颗粒质量分数为0.025%时,纳米颗粒滞留引发的渗透率伤害最小。

关键词：纳米颗粒低矿化度水润湿性改变界面张力接触角美国矿务局(USBM)润湿性指数

Aspect-Based Sentiment Classification Using Deep Learning and hybrid of Word Embedding and Contextual Position

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Intelligent Automation & Soft Computing 2023年第9期37卷 3101-3124页

作者： Waqas Ahmad hikmat Ullah Khan Fawaz Khaled Alarfaj Saqib Iqbal Abdullah Mohammad alomair Naif Almusallam Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science Namal UniversityMianwali42201Pakistan Department of Management Information Systems(MIS) College of Business AdministrationKing Faisal University(KFU)Al-Ahsa31982Saudi Arabia Department of Software Engineering Al Ain UniversityAl Ain64141United Arab Emirates

Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative,positive,or neutral while associating them with their identified aspects from the corresponding *** this regard,prior methodologies widely utilize either word embedding or tree-based ***,the separate use of those deep features such as word embedding and tree-based dependencies has become a significant cause of information ***,word embedding preserves the syntactic and semantic relations between a couple of terms lying in a ***,the tree-based structure conserves the grammatical and logical dependencies of *** addition,the sentence-oriented word position describes a critical factor that influences the contextual information of a targeted ***,knowledge of the position-oriented information of words in a sentence has been considered *** this study,we propose to use word embedding,tree-based representation,and contextual position information in combination to evaluate whether their combination will improve the result’s effectiveness or *** the meantime,their joint utilization enhances the accurate identification and extraction of targeted aspect terms,which also influences their classification *** this research paper,we propose a method named Attention Based Multi-Channel Convolutional Neural Net-work(Att-MC-CNN)that jointly utilizes these three deep features such as word embedding with tree-based structure and contextual position *** three parameters deliver to Multi-Channel Convolutional Neural Network(MC-CNN)that identifies and extracts the potential terms and classifies their *** addition,these terms have been further filtered with the attention mechanism,which determines the most significant *** empirical analysis proves the proposed approach’s effectiveness compared to existing techniques when evaluated on standard *** experimental resu

关键词： Sentiment analysis word embedding aspect extraction consistency tree multichannel convolutional neural network contextual position information