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| 1 | CoFe-LDH nanowire arrays on graphite felt: A high-performance oxygen evolution electrocatalyst in alkaline media显示文摘Developing non-noble-metal oxygen evolution reaction(OER) electrocatalysts with high performance is critical to electrocatalytic water splitting. In this work, we fabricated Co Fe-layered double hydroxide(LDH) nanowire arrays on graphite felt(Co Fe-LDH/GF) via a hydrothermal method. The Co Fe-LDH/GF, as a robust integrated 3 D OER anode, exhibits excellent catalytic activity with the need of low overpotential of 252 and 285 mV to drive current densities of 10 and 100 mA/cm^(2) in 1.0 mol/L KOH, respectively. In addition, it also maintains electrochemical durability for at least 24 h. This work would open up avenues for the development of GF like attractive catalyst supports for oxygen evolution applications. | Biao Deng Jie Liang Luchao Yue Tingshuai Li Qian Liu Yang Liu Shuyan Gao Abdulmohsen Ali Alshehri Khalid Ahmed Alzahrani Yonglan Luo Xuping Sun | 2022 | Chinese Chemical Letters2022，33，2： | 4 |
| 2 | FeOOH quantum dots decorated graphene sheet:An efficient electrocatalyst for ambient N2 reduction显示文摘Electrochemical N2 reduction offers a promising alternative to the Haber-Bosch process for sustainable NH3 synthesis at ambient conditions,but it needs efficient catalysts for the N2 reduction reaction(NRR).Here,we report that FeOOH quantum dots decorated graphene sheet acts as a superior catalyst toward enhanced electrocatalytic N2 reduction to NH3 under ambient conditions.In 0.1 M LiClO4,this hybrid attains a large NH3 yield rate and a high Faradaic efficiency of 27.3µg·h^−1·mg−1cat.and 14.6%at−0.4 V vs.reversible hydrogen electrode,respectively,rivalling the current efficiency of all Fe-based NRR electrocatalysts in aqueous media.It also shows strong durability during the electrolytic process. | Xiaojuan Zhu Jinxiu Zhao Lei Ji Tongwei Wu Ting Wang Shuyan Gao Abdulmohsen Ali Alshehri Khalid Ahmed Alzahrani Yonglan Luo Yimo Xiang Baozhan Zheng Xuping Sun | 2020 | Nano Research2020，13，1： | 4 |
| 3 | Ambient ammonia production via electrocatalytic nitrite reduction catalyzed by a CoP nanoarray显示文摘Industrial-scale ammonia(NH_(3))production mainly relies on the energy-intensive and environmentally unfriendly Haber-Bosch process.Such issue can be avoided by electrocatalytic N_(2) reduction which however suffers from limited current efficiency and NH3 yield.Herein,we demonstrate ambient NH_(3) production via electrochemical nitrite(NO_(2)^(-))reduction catalyzed by a CoP nanoarray on titanium mesh(CoP NA/TM).When tested in 0.1 M PBS(pH=7)containing 500 ppm N0_(2)^(-),such CoP NA/TM is capable of affording a large NH_(3) yield of 2,260.7±51.5μg·h^(-1)·cm^(-2) and a high Faradaic efficiency of 90.0±2.3%at-0.2 V vs.a reversible hydrogen electrode.Density functional theory calculations reveal that the potential-determining step for NO_(2)^(-)reduction over CoP(112)is*NO2→*NO_(2)H. | Guilai Wen Jie Liang Qian Liu Tingshuai Li Xuguang An Fang Zhang Abdulmohsen Ali Alshehri Khalid Ahmed Alzahrani Yonglan Luo Qingquan Kong Xuping Sun | 2022 | Nano Research2022，15，2： | 3 |
| 4 | N-doped carbon nanotubes supported CoSe_(2) nanoparticles:A highly efficient and stable catalyst for H_(2)O_(2) electrosynthesis in acidic media显示文摘Electrocatalytic oxygen reduction reaction(ORR)provides an attractive alternative to anthraquinone process for H_(2)O_(2) synthesis.Rational design of earth-abundant electrocatalysts for H_(2)O_(2) synthesis via a two-electron ORR process in acids is attractive but still:very challenging.In this work,we report that nitrogen-doped carbon nanotubes as a multi-functional support for CoSe2 nanoparticles not only keep CoSe_(2) nanoparticles well dispersed but alter the crystal structure,which in turn improves the overall catalYtic behaviors and thereby renders high O_(2)-to-H_(2)O_(2) conversion efficiency.In 0.1 M HClO_(4),such CoSe_(2)@NCNTs hybrid delivers a high H_(2)O_(2) selectivity of 93.2% and a large H_(2)0_(2) yield rate of 172 ppm·h^(-1) with excellent durability up to 24 h.Moreover,CoSe_(2)@NCNTs performs effectively for organic dye degradation via electro-Fenton process. | Longcheng Zhang Jie Liang Luchao Yue Zhaoquan Xu Kai Dong Qian Liu Yonglan Luo Tingshuai Li Xiaohong Cheng Guanwei Cui Bo Tang Abdulmohsen Ali Alshehri Khalid Ahmed Alzahrani Xiaodong Guo Xuping Sun | 2022 | Nano Research2022，15，1： | 2 |
| 5 | Reduced systemic inflammatory mediators after treatment of chronic gingivitis显示文摘 | AHMED S ALZAHRANI NABIL F BISSADA JUREVIC RICHARD J | 2013 | Saudi Medical Journal2013，34，4： | 1 |
| 6 | Prognostic significance of peritoneal metastasis from colorectal cancer treated with first-line triplet chemotherapy显示文摘BACKGROUND Peritoneal metastasis from colorectal cancer(CRC)carries a poor prognosis in most studies.The majority of those studies used either a single-agent or doublet chemotherapy regimen in the first-line setting.AIM To investigate the prognostic significance of peritoneal metastasis in a cohort of patients treated with triplet chemotherapy in the first-line setting.METHODS We retrospectively evaluated progression-free survival(PFS)and overall survival(OS)in 51 patients with metastatic CRC treated in a prospective clinical trial with capecitabine,oxaliplatin,irinotecan,and bevacizumab in the first-line setting according to the presence and absence of peritoneal metastasis.Furthermore,univariate and multivariate analyses for PFS and OS were performed to assess the prognostic significance of peritoneal metastasis at the multivariate level.RESULTS Fifty-one patients were treated with the above triplet therapy.Fifteen had peritoneal metastasis.The patient characteristics of both groups showed a significant difference in the sidedness of the primary tumor(left-sided primary tumor in 60%of the peritoneal group vs 86%in the nonperitoneal group,P=0.03)and the presence of liver metastasis(40%for the peritoneal group vs 75%for the nonperitoneal group,P=0.01).Univariate analysis for PFS showed a statistically significant difference for age less than 65 years(P=0.034),presence of liver metastasis(P=0.046),lung metastasis(P=0.011),and those who underwent metastasectomy(P=0.001).Only liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.001 and 0.002,respectively.Multivariate analysis showed that age(less than 65 years)and metastasectomy were statistically significant for PFS,with P values of 0.002 and 0.001,respectively.On the other hand,the absence of liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.003 and 0.005,respectively.CONCLUSION Peritoneal metastasis in patients with metastatic CRC treated with first-line triple chemotherapy does not carry prognostic significance at univariate and multivariate levels.Confirmatory larger studies are warranted. | Shouki Bazarbashi Abdulrahman Alghabban Mohamed Aseafan Ali H Aljubran Ahmed Alzahrani Tusneem AM Elhassan | 2022 | World Journal of Clinical Cases2022，10，8： | 1 |
| 7 | Improving the intrinsic electronic conductivity of NiMo0_(4) anodes by phosphorous doping for high lithium storage显示文摘Heteroatom doping is one of the most promising strategies toward regulating intrinsically sluggish electronic conductivity and kinetic reaction of transition metal oxides for enhancing their lithium storage.Herein,we designed phosphorus-doped NiMo0_(4) nanorods(P-NiMo0_(4))by using a facile hydrothermal method and subsequent low-temperature phosphorization treatment.Phosphorus doping played an indispensable role in significantly improving electronic conductivity and the Li+diffusion kinetics of NiMo0_(4) materials.Experimental investigation and density functional theory calculation demonstrated that phosphorus doping can expand the interplanar spacing and alter electronic structures of NiMo0_(4) nanorods.Meanwhile,the introduced phosphorus dopant can generate some oxygen vacancies on the surface of NiMo0_(4),which can accelerate Li+diffusion kinetics and provide more active site for lithium storage.As excepted,P-NiMo0_(4) electrode delivered a high specific capacity(1,130 mA·g^(-1) at 100 mA·g^(-1) after 100 cycles),outstanding cycling durability(945 mA·g^(-1) at 500 mA·g^(-1) over 200 cycles),and impressive rate performance(640 mA·g^(-1)at 2,000mA·g^(-1))for lithium ion batteries(LIBs).This work could provide a potential strategy for improving intrinsic conductivity of transition metal oxides as high-performance anodes for LIBs. | Luchao Yue Chaoqun Ma Shihai Yan Zhenguo Wu Wenxi Zhao Qian Liu(ISl) Yonglan Luo Benhe Zhong Fang Zhang Yang Liu Abdulmohsen AN Alshehri Khalid Ahmed Alzahrani Xiaodong Guo Xuping Sun | 2022 | Nano Research2022，15，1： | 1 |
| 8 | A Deep Learning Approach for Landmines Detection Based on Airborne Magnetometry Imaging and Edge Computing显示文摘Landmines continue to pose an ongoing threat in various regions around the world,with countless buried landmines affecting numerous human lives.The detonation of these landmines results in thousands of casualties reported worldwide annually.Therefore,there is a pressing need to employ diverse landmine detection techniques for their removal.One effective approach for landmine detection is UAV(Unmanned Aerial Vehicle)based AirborneMagnetometry,which identifies magnetic anomalies in the local terrestrial magnetic field.It can generate a contour plot or heat map that visually represents the magnetic field strength.Despite the effectiveness of this approach,landmine removal remains a challenging and resource-intensive task,fraughtwith risks.Edge computing,on the other hand,can play a crucial role in critical drone monitoring applications like landmine detection.By processing data locally on a nearby edge server,edge computing can reduce communication latency and bandwidth requirements,allowing real-time analysis of magnetic field data.It enables faster decision-making and more efficient landmine detection,potentially saving lives and minimizing the risks involved in the process.Furthermore,edge computing can provide enhanced security and privacy by keeping sensitive data close to the source,reducing the chances of data exposure during transmission.This paper introduces the MAGnetometry Imaging based Classification System(MAGICS),a fully automated UAV-based system designed for landmine and buried object detection and localization.We have developed an efficient deep learning-based strategy for automatic image classification using magnetometry dataset traces.By simulating the proposal in various network scenarios,we have successfully detected landmine signatures present in themagnetometry images.The trained models exhibit significant performance improvements,achieving a maximum mean average precision value of 97.8%. | Ahmed Barnawi Krishan Kumar Neeraj Kumar Bander Alzahrani Amal Almansour | 2024 | Computer Modeling in Engineering & Sciences2024，139，5： | 0 |
| 9 | A Secure Key Agreement Scheme for Unmanned Aerial Vehicles-Based Crowd Monitoring System显示文摘Unmanned aerial vehicles(UAVs)have recently attractedwidespread attention in civil and commercial applications.For example,UAVs(or drone)technology is increasingly used in crowd monitoring solutions due to its wider air footprint and the ability to capture data in real time.However,due to the open atmosphere,drones can easily be lost or captured by attackers when reporting information to the crowd management center.In addition,the attackers may initiate malicious detection to disrupt the crowd-sensing communication network.Therefore,security and privacy are one of the most significant challenges faced by drones or the Internet of Drones(IoD)that supports the Internet of Things(IoT).In the literature,we can find some authenticated key agreement(AKA)schemes to protect access control between entities involved in the IoD environment.However,the AKA scheme involves many vulnerabilities in terms of security and privacy.In this paper,we propose an enhancedAKAsolution for crowdmonitoring applications that require secure communication between drones and controlling entities.Our scheme supports key security features,including anti-forgery attacks,and confirms user privacy.The security characteristics of our scheme are analyzed byNS2 simulation and verified by a random oracle model.Our simulation results and proofs show that the proposed scheme sufficiently guarantees the security of crowd-aware communication. | Bander Alzahrani Ahmed Barnawi Azeem Irshad Areej Alhothali Reem Alotaibi Muhammad Shafiq | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 10 | Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique显示文摘In recent years,it has been observed that the disclosure of information increases the risk of terrorism.Without restricting the accessibility of information,providing security is difficult.So,there is a demand for time tofill the gap between security and accessibility of information.In fact,security tools should be usable for improving the security as well as the accessibility of information.Though security and accessibility are not directly influenced,some of their factors are indirectly influenced by each other.Attributes play an important role in bridging the gap between security and accessibility.In this paper,we identify the key attributes of accessibility and security that impact directly and indirectly on each other,such as confidentiality,integrity,availability,and severity.The significance of every attribute on the basis of obtained weight is important for its effect on security during the big data security life cycle process.To calculate the proposed work,researchers utilised the Fuzzy Analytic Hierarchy Process(Fuzzy AHP).Thefindings show that the Fuzzy AHP is a very accurate mechanism for determining the best security solution in a real-time healthcare context.The study also looks at the rapidly evolving security technologies in healthcare that could help improve healthcare services and the future prospects in this area. | Fawaz Alassery Ahmed Alzahrani Asif Irshad Khan Kanika Sharma Masood Ahmad Raees Ahmad Khan | 2023 | Computer Systems Science & Engineering2023，44，1： | 0 |
| 11 | Obstacles Facing the Implementation of Functional Magnetic Resonance Imaging (fMRI) of Brain in Jeddah City显示文摘 | Abrar Mohammed Shafia M. Noor Hanan Mohammed Alzahrani Zuber Ahmed | 2013 | Computer Technology and Application2013，4，2： | 0 |
| 12 | An Effective Diagnosis System for Brain Tumor Detection and Classification显示文摘A brain tumor is an excessive development of abnormal and uncontrolled cells in the brain.This growth is considered deadly since it may cause death.The brain controls numerous functions,such as memory,vision,and emotions.Due to the location,size,and shape of these tumors,their detection is a challenging and complex task.Several efforts have been conducted toward improved detection and yielded promising results and outcomes.However,the accuracy should be higher than what has been reached.This paper presents a method to detect brain tumors with high accuracy.The method works using an image segmentation technique and a classifier in MATLAB.The utilized classifier is a SupportVector Machine(SVM).DiscreteWavelet Transform(DWT)and Principal Component Analysis(PCA)are also involved.A dataset from the Kaggle website is used to test the developed approach.The obtained results reached nearly 99.2%of accuracy.The paper provides a confusion matrix of applying the proposed approach to testing images and a comparative evaluation between the developed method and some works in the literature.This evaluation shows that the presented system outperforms other approaches regarding the accuracy,precision,and recall.This research discovered that the developed method is extremely useful in detecting brain tumors,given the high accuracy,precision,and recall results.The proposed system directs us to believe that bringing this kind of technology to physicians diagnosing brain tumors is crucial. | Ahmed A.Alsheikhy Ahmad S.Azzahrani A.Khuzaim Alzahrani Tawfeeq Shawly | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 13 | A Hybrid Classification and Identification of Pneumonia Using African Buffalo Optimization and CNN from Chest X-Ray Images显示文摘An illness known as pneumonia causes inflammation in the lungs.Since there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven challenging.To improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been devised.To date,several methods have been employed to identify pneumonia.The Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and radiology.However,these methods are complex,inefficient,and imprecise to analyze a big number of datasets.In this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is proposed.The proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and accuracy.The Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)approach.Relevant features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of Pneumonia.Experimental results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification tasks.The proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively. | Nasser Alalwan Ahmed I.Taloba Amr Abozeid Ahmed Ibrahim Alzahrani Ali H.Al-Bayatti | 2024 | Computer Modeling in Engineering & Sciences2024，138，3： | 0 |
| 14 | Is California's Aging Infrastructure the Principal Contributor to the Recent Trend of Power Outage?显示文摘 | Vivian Sultan Ahmed Alzahrani Hind Bitar Norah Alharbi | 2016 | 通讯和计算机(中英文版)2016，13，5： | 0 |
| 15 | Practical Clinical Application of Cardiac Computed Tomography– Derived Fractional Flow Reserve显示文摘In the past decade,advances in coronary computed tomography angiography(CTA)technology have resulted in high sensitivity and negative predictive value in detecting coronary artery disease(CAD)compared with invasive coronary angiography,particularly for patients with mild or severe stenosis.However,anatomical evaluation of CAD by CTA has modest specifi city for patients with intermediate-grade stenoses.The recent development of the use of cardiac computed tomography– derived fractional fl ow reserve(FFR-CT)seeks to address this gap as a proposed method of functional assessment of CAD by CTA.In this article we aim to mix common clinical cases with the current technical methods,validation,outcomes,and registry studies as well as the technical,fi nancial and research limitations of FFRCT analysis to guide the cardiac imaging specialist in evaluating this technique.FFR-CT analysis may help reduce additive functional testing for the smaller proportion of patients with intermediate stenosis undergoing coronary CTA where the atherosclerosis signifi cance is uncertain. | Talal Alzahrani,MD Ahmed Tashkandi,MD Abdullah Sarkar,MD Claudio Smuclovisky,MD James P.Earls,MD Andrew D.Choi,MD | 2019 | Cardiovascular Innovations and Applications2019，，B04： | 0 |
| 16 | Burden of routine orthopedic implant removal a single center retrospective study显示文摘BACKGROUND Open reduction and internal fixation represent prevalent orthopedic procedures,sparking ongoing discourse over whether to retain or remove asymptomatic implants.Achieving consensus on this matter is paramount for orthopedic surgeons.This study aims to quantify the impact of routine implant removal on patients and healthcare facilities.A retrospective analysis of implant removal cases from 2016 to 2022 at King Fahad Hospital of the University(KFHU)was conducted and subjected to statistical scrutiny.Among these cases,44%necessitated hospitalization exceeding one day,while 56%required only a single day.Adults exhibited a 55%need for extended hospital stays,contrasting with 22.8%among the pediatric cohort.The complication rate was 6%,with all patients experiencing at least one complication.Notably,34.1%required sick leave and 4.8%exceeded 14 d.General anesthesia was predominant(88%).Routine implant removal introduces unwarranted complications,particularly in adults,potentially prolonging hospitalization.This procedure strains hospital resources,tying up the operating room that could otherwise accommodate critical surgeries.Clearly defined institutional guidelines are imperative to regulate this practice.AIM To measure the burden of routine implant removal on the patients and hospital.METHODS This is a retrospective analysis study of 167 routine implant removal cases treated at KFHU,a tertiary hospital in Saudi Arabia.Data were collected in the orthopedic department at KFHU from February 2016 to August 2022,which includes routine asymptomatic implant removal cases across all age categories.Nonroutine indications such as infection,pain,implant failure,malunion,nonunion,restricted range of motion,and prominent hardware were excluded.Patients who had external fixators removed or joints replaced were also excluded.RESULTS Between February 2016 and August 2022,360 implants were retrieved;however,only 167 of those who met the inclusion criteria were included in this study.The remaining implants were rejected due to exclusion criteria.Among the cases,44%required more than one day in the hospital,whereas 56%required only one day.55%of adults required more than one day of hospitalization,while 22.8%of pediatric patients required more than one day of inpatient care.The complication rate was 6%,with each patient experiencing at least one complication.Sick leave was required in 34.1%of cases,with 4.8%requiring more than 14 d.The most common type of anesthesia used in the surgeries was general anesthesia(88%),and the mean(SD)surgery duration was 77.1(54.7)min.CONCLUSION Routine implant removal causes unnecessary complications,prolongs hospital stays,depletes resources and monopolizing operating rooms that could serve more critical procedures. | Ammar K AlOmran Nader Alosaimi Ahmed A Alshaikhi Omar M Bakhurji Khalid J Alzahrani Basil Ziyad Salloot Tamim Omar Alabduladhem Ahmed I AlMulhim Arwa Alumran | 2024 | World Journal of Orthopedics2024，15，2： | 0 |
| 17 | Impact of COVID-19 on endourology surgical practice in Saudi Arabia:A national multicenter study显示文摘Objective:To identify the impact of COVID-19 on endourology surgical practice in Saudi Arabia.Methods:A retrospective study of seven tertiary hospitals from January 2019 to April 2019,and from January 2020 to April 2020 was performed.Records of urology outpatient department(OPD)visits and endourology procedures in the first third of 2020 were analyzed and compared with those in the first third of 2019,as well as,during the full curfew time,i.e.April 2020 versus April 2019.Results:Number of OPD visits in the first third of 2020 and 2019 were 19499 and 26594,respectively(p<0.001).Number of OPD visits in April 2020 was 1512,with a 78.6%decrease compared to that in April 2019,and among them 1373(90.8%)were teleclinics.Number of elective procedures in the first third of 2020 has decreased by 34.3%(from 3025 to 1988)compared to that in the first third of 2019(p<0.001).There were 120 elective procedures in April 2020,84.1%lower than that in April 2019.Percutaneous nephrolithotomy,shockwave lithotripsy,and transurethral resection of prostate procedures declined by 94.2%,98.5%,and 93.8%,respectively.Most procedures were performed as day surgery(85.0%).Number of emergency procedures in 2020 have fallen by 9.3%compared to 2019(pZ0.286).Urolithiasis was the commonest pathology(52.6%)presented to the emergency room(52.6%).Conclusion:During COVID-19 pandemic,urology services slashed by>75%,including OPD visits and elective endourology procedures.Most hospitals have changed their strategic preventive measures by increasing the rate of teleclinics and day surgeries. | Abdel Raheem Ali Yahya Ghazwani Ibrahim Alowidah Raed A.Azhar Mohammed Alomar Ahmed Alzahrani Ossamah Alsowayan Wissam Kamal Abdulrahman Alalayet Ahmad Bugis Abdulaziz MAlthunayan MAlzahrani Tarek Kamel Fadaak Aiman Al-Solumany Saeed Bin Hamri | 2021 | Asian Journal of Urology2021，8，4： | 0 |
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