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Voice outcome measures after flexible endoscopic injection laryngoplasty

World Journal of Otorhinolaryngology-Head and Neck Surgery 2018年第2期4卷 130-134页

作者： abdul-latif hamdan Marwan Rizk Elie Khalifee Georges Ziade Maher Kasti Department of Otolaryngology and Head & Neck Surgery American University of Beirut-Medical Center Lebanon Department of Anesthesiology American University of Beirut-Medical Center Lebanon Department of Otolaryngology Head & Neck Surgery Rafic Hariri University Hospital Lebanon

Objective: To report voice outcome measures after injection laryngoplasty using the transnasal or transoral flexible endoscopic technique. Methods: A retrospective review of all patients who underwent flexible endoscopic injection laryngoplasty between June 2010 and August 2016 was carried out. Only those patients who had pre- and post-injection voice outcome measures recorded were included. Voice outcome measures recorded included perceptual voice evaluation using GRBAS, Voice Handicap Index-10 (VHI-10), maximum phonation time (MPT) and closed quotient (CQ) before and after treat-ment. Results: Forty-six patients were identified, of which 32 had pre- and post-injection voice outcome measures recorded. There were 19 males and 13 females. The mean age was 56.97 years (range 20—86 years) and the most common indication was unilateral vocal fold paralysis. Thirteen patients had a transnasal flexible endoscopic injection), while 19 patients were in-jected transorally. Following injection laryngoplasty, there was significant improvement in the mean grade of dysphonia (2.81 vs. 1.22, P < 0.01, roughness (2.44 vs. 1.34, P < 0.01), breathiness (2.72 vs. 1.13, P < 0.01), asthenia (2.78 vs. 1.06, P < 0.01), and strain (2.44 vs. 1.19, P < 0.01), MPT (3.85 s vs. 9.85 s, P < 0.01) and mean CQ (0.19 vs. 0.46, P < 0.01). There was also a decrease in the mean VHI-10 score (33.31 vs. 7.94, P < 0.01). Conclusion: s: Patients achieved significant improvement in both subjective and objective voice measures after flexible endoscopic injection laryngoplasty via the nasal or transoral route. Voice outcomes were comparable to those reported for other approaches. This tech-nique provides an alternative approach for the management of patients with vocal fold paral-ysis or glottal insufficiency.

关键词： Injection Laryngoplasty Transnasal Transoral Flexible endoscopic Vocal fold paralysis

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Larngeal Manifestations of Relapsing Polychondritis

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Open Journal of Rheumatology and Autoimmune Diseases 2013年第2期3卷 108-112页

作者： abdul latif hamdan Doja Sarieddine Department of Otolaryngology Head and Neck Surgery American University of Beirut Medical Center Beirut Lebanon

The incidence of Relapsing Polychondritis is estimated to be 3.5 cases per million with only 600 cases being reported in the world. It can affect any age ranging from 5 to 84 years with predominance in the fourth and fifth decade. Male to female ratio varies from 1:1 to 1:3. It is believed to be an immunologic reaction to collagen Type II which is predominantly presented in the cartilaginous structures of the body and in the eye. The diagnosis is based on the presence of three or more clinical signs, one clinical sign in addition to histological confirmation, or involvement of two or more sites with a favorable response to treatment based on Mc Adam diagnostic criteria. The otolaryngologic manifestations of RP span the ears, nose, larynx and tracheobronchial tree. The symptoms include change in voice quality, respiratory discomfort, stridor, dyspnea, cough, chocking, anterior neck tenderness mainly over the thyroid cartilage and cricoid cartilages, aspiration and difficulty in swallowing. The laryngeal manifestations should be evaluated using high resolution computerized tomography, Magnetic resonance imaging, pulmonary function testing, plain radiography and pulmonary function testing.

关键词： Relapsing Polychondritis Larynx Stridor

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Gradient Optimizer Algorithm with Hybrid Deep Learning Based Failure Detection and Classification in the Industrial Environment

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1341-1364页

作者： Mohamed Zarouan Ibrahim M.Mehedi Shaikh abdul latif Md.Masud Rana Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Electronic Engineering Rajshahi University of Engineering and TechnologyRajshahiBangladesh

Failure detection is an essential task in industrial systems for preventing costly downtime and ensuring the seamlessoperation of the system. Current industrial processes are getting smarter with the emergence of Industry ***, various modernized industrial processes have been equipped with quite a few sensors to collectprocess-based data to find faults arising or prevailing in processes along with monitoring the status of *** diagnosis of rotating machines serves a main role in the engineering field and industrial production. Dueto the disadvantages of existing fault, diagnosis approaches, which greatly depend on professional experienceand human knowledge, intellectual fault diagnosis based on deep learning (DL) has attracted the researcher’sinterest. DL reaches the desired fault classification and automatic feature learning. Therefore, this article designs a Gradient Optimizer Algorithm with Hybrid Deep Learning-based Failure Detection and Classification (GOAHDLFDC)in the industrial environment. The presented GOAHDL-FDC technique initially applies continuous wavelettransform (CWT) for preprocessing the actual vibrational signals of the rotating machinery. Next, the residualnetwork (ResNet18) model was exploited for the extraction of features from the vibration signals which are thenfed into theHDLmodel for automated fault detection. Finally, theGOA-based hyperparameter tuning is performedtoadjust the parameter valuesof theHDLmodel *** experimental result analysis of the GOAHDL-FD Calgorithm takes place using a series of simulations and the experimentation outcomes highlight the better resultsof the GOAHDL-FDC technique under different aspects.

关键词： Fault detection Industry 4.0 gradient optimizer algorithm deep learning rotating machineries artificial intelligence

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Redefining biofuels:Investigating oil palm biomass as a promising cellulose feedstock for nitrocellulose-based propellant production

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Defence Technology（防务技术） 2024年第7期37卷 111-132页

作者： Khoirul Solehah binti abdul Rahim Alinda binti Samsuri Siti Hasnawati binti Jamal Siti Aminah binti Mohd Nor Siti Nor Ain binti Rusly Hafizah binti Ariff Nur Shazwani binti abdul latif Centre for Tropicalization(CENTROP) Defence Research InstituteUniversiti Pertahanan Nasional MalaysiaKem Sungai Besi57000 Kuala LumpurMalaysia Department of Chemistry and Biology Centre for Defence Foundation StudiesUniversiti Pertahanan Nasional MalaysiaKem Sungai Besi57000 Kuala LumpurMalaysia

This review paper explores the potential of oil palm biomass as a valuable cellulose source for the production of nitrocellulose-based propellants,contributing to the green revolution and sustainable energy *** highlights the availability of the corresponding biomass in Malaysia and in line with global studies,the chemical compositions,as well as a brief description of current technologies for converting biomass of oil palm into value added products specifically *** to achieve maximum utilization of biomass from oil palm industry for cellulose production and prospective source for nitrocellulose-based propellant are also *** methodology section outlines the pretreatment of lignocellulosic fibres,cellulose extraction,and nitrocellulose production ***,the review underscores the prospective of palm oil biomass as a sustainable cellulose source for propellant manufacturing,while acknowledging the need for further research and advancements in the field.

关键词： Biopolymer Cellulose nitrate Energetic materials Green technology Palm oil

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Baerveldt glaucoma implant with Supramid© ripcord stent in neovascular glaucoma: a case series

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International Journal of Ophthalmology(English edition) 2024年第2期17卷 265-271页

作者： Yuen Keat Gan Shiivaa Manjare Birapadian Muhammad Irfan abdul Jalal Norshamsiah Md Din Department of Ophthalmology Faculty of MedicineUniversiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia UKM Molecular Biology Institute Universiti Kebangsaan MalaysiaKuala Lumpur 56000Malaysia Hospital Canselor Tuanku Muhriz Jalan Yaacob LatifBandar Tun RazakKuala Lumpur 56000Malaysia

AIM:To report the outcome of Baerveldt glaucoma implant(BGI)with Supramid©ripcord use in neovascular glaucoma(NVG).METHODS:We retrospectively evaluated the surgical outcome of the BGI with Supramid©3/0 ripcord stent in patients with *** tube ligation or venting slits were *** was removed after 3mo if the target intraocular pressure(IOP)was not *** success was defined as IOP≤21 mm Hg with(qualified success)or without IOP-lowering medications(complete success).RESULTS:Twenty-six eyes from 24 patients were included in the *** median duration of follow-up was 4[interquartile range(IQR)=1-5]y,ranging from 0.5 to *** decreased by a mean of 24.2 mm Hg(59.7%);from a mean of 40.5±12.6 mm Hg at baseline to 16.3±11.9 mm Hg,P≤*** number of glaucoma medications reduced from a median of 5(IQR=5-6)to 1(IQR=0-2,P≤0.001)at the final *** success rates were 88.0%at 1y,34.8%at 3y,66.7%at 4y,and 50%at *** phase(HP)in the first 3mo occurred in 15/26 eyes(57.7%)with a mean IOP of 31.1 mm ***:BGI with Supramid©ripcord stent gives close to 90%of the overall survival rate at the final follow-up without significant early ***,early HP is still a challenge.

关键词： neovascular glaucoma Supramid ripcord stent Baerveldt glaucoma implant

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National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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World Journal of Gastroenterology 2024年第9期30卷 1018-1042页

作者： Faisal Saud Dar Zaigham Abbas Irfan Ahmed Muhammad Atique Usman Iqbal Aujla Muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt abdul Wahab Dogar Javed Iqbal Farooqi Faisal Hanif Jahanzaib Haider Siraj Haider Syed Mujahid Hassan Adnan abdul Jabbar Aman Nawaz Khan Muhammad Shoaib Khan Muhammad Yasir Khan Amer latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih abdullah Saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb Haider Zia Ammara Naveed Department of Hepatopancreatic Biliary Surgery&Liver Transplant Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Hepatogastroenterology and Liver Transplantation Dr.Ziauddin University HospitalKarachi 75600SindhPakistan University of Aberdeen Aberdeen B243FXUnited Kingdom Department of Pathology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Gastroenterology&Hepatology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Radiology Aga Khan UniversityKarachi 74800Pakistan Department of Oncology Hameed Latif HospitalLahore 54000Pakistan Division of Hepatopancreatic Biliary Surgery&Liver Transplantation Shifa International HospitalIslamabad 44000Pakistan Department of Hepatopancreatic Biliary Surgery&Liver Transplant Shaikh Zayed Hospital and Post Graduate Medical InstituteLahore 54000Pakistan Department of Medicine Aga Khan University HospitalKarachi 74800Pakistan Department of Liver Transplant Pir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Medicine&Gastroenterology Lifecare Hospital and Research CentrePeshawar 25000Khyber PakhtunkhwaPakistan Department of Hepatopancreatobiliary&Liver Transplant Bahria International HospitalLahore 54000Pakistan Department of Surgery Hepatopancreatobiliary&Liver TransplantDow University of Health SciencesKarachi 74800Pakistan Department of Gastroenterology Hepatology&NutritionPir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Oncology Dr.Ziauddin HospitalKarachi 74800Pakistan Department of Radiology Rehman Medical InstitutePeshawar 25000Pakistan Army Liver Transplant Unit Pak Emirates Military HospitalRawalpindi 46000Pakistan Department of Gastroenterology Sindh Institute of Urology and TransplantationKarachi 75500Pakistan Rashid Nursing Home and Cancer Clinic Rashid Nursing Home and Cancer ClinicRawalpindi 46000Pakistan Department of Gastroentero

A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the *** Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this *** effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these *** coordinated effort can minimise delays and give patients a chance for curative treatment and effective *** diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance *** cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for ***,histopathologic confirmation is not always required before *** ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for *** only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette *** patients with unresectable hCCA can be considered for liver *** chemotherapy should be offered to patients with a high risk of *** use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary *** with acute cholangitis can be drained with endoscopic or percutaneous biliary *** chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA.

关键词： Hilar cholangiocarcinoma Bismuth-Corlette classification Memorial Sloan Kettering Cancer Centre Staging Preoperative biliary drainage Portal vein embolisation Surgical resection Hepatectomy

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Fractional Order Linear Active Disturbance Rejection Control for Linear Flexible Joint System

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Computers, Materials & Continua 2022年第3期70卷 5133-5142页

作者： Ibrahim M.Mehedi Rachid Mansouri Ubaid M.Al-Saggaf Ahmed I.M.Iskanderani Maamar Bettayeb abdulah Jeza Aljohani Thangam Palaniswamy Shaikh abdul latif abdul latif Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia L2CSP Laboratory Mouloud Mammeri UniversityTizi OuzouAlgeria Electrical&Computer Engineering Department University of SharjahUnited Arab Emirates Department of Nuclear Engineering King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics King Abdulaziz UniversityJeddah21589Saudi Arabia

A linear flexible joint system using fractional order linear active disturbance rejection control is studied in this *** this control scheme,the performance against disturbances,uncertainties,and attenuation is *** active disturbance rejection control(LADRC)is mainly based on an extended state observer(ESO)technology.A fractional integral(FOI)action is combined with the LADRC technique which proposes a hybrid control scheme like *** this FOI action improves the robustness of the standard *** set-point tracking of the proposed FO-LADRC scheme is designed by Bode’s ideal transfer function(BITF)based robust closed-loop concept,an appropriate pole placement *** effectiveness of the proposed FO-LADRC scheme is illustrated through experimental results on the linear flexible joint system(LFJS).The results show the enhancement of the robustness with disturbance ***,a comparative analysis is presented with the results obtained using the integer-order LADRC and FO-LADRC scheme.

关键词： Active disturbance rejection fractional calculus ADRC pole placement linear flexible joint system robust control

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Ensemble Deep Learning with Chimp Optimization Based Medical Data Classification

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Intelligent Automation & Soft Computing 2023年第2期35卷 1643-1655页

作者： Ashit Kumar Dutta Yasser Albagory Majed Alsanea hamdan I.Almohammed abdul Rahaman Wahab Sait Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Kingdom of Saudi Arabia Department of Computing Arabeast CollegesRiyadh11583Kingdom of Saudi Arabia Department of Basic Medical Sciences College of Medicine.Almaarefa UniversityAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Department of Archives and Communication King Faisal UniversityAl AhsaHofuf31982Kingdom of Saudi Arabia

Eye state classiﬁcation acts as a vital part of the biomedical sector,for instance,smart home device control,drowsy driving recognition,and so *** modiﬁcations in the cognitive levels can be reﬂected via transforming the electro-encephalogram(EEG)*** deep learning(DL)models automated extract the features and often showcased improved outcomes over the conventional clas-siﬁcation model in the recognition *** paper presents an Ensemble Deep Learning with Chimp Optimization Algorithm for EEG Eye State Classiﬁ-cation(EDLCOA-ESC).The proposed EDLCOA-ESC technique involves min-max normalization approach as a pre-processing ***,wavelet packet decomposition(WPD)technique is employed for the extraction of useful features from the EEG *** addition,an ensemble of deep sparse autoencoder(DSAE)and kernel ridge regression(KRR)models are employed for EEG Eye State classiﬁ***,hyperparameters tuning of the DSAE model takes place using COA and thereby boost the classiﬁcation results to a maximum *** extensive range of simulation analysis on the benchmark dataset is car-ried out and the results reported the promising performance of the EDLCOA-ESC technique over the recent approaches with maximum accuracy of 98.50%.

关键词： EEG eye state data classiﬁcation deep learning medical data analysis chimp optimization algorithm

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Synthesis of novel magneto-hybrid polyoxometalate composite membrane with simultaneous photocatalytic self-cleaning and antifouling functionalities

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Frontiers of Chemical Science and Engineering 2023年第10期17卷 1450-1459页

作者： Nee Nee Tan Qi Hwa Ng Siti Kartini Enche Ab Rahim abdul latif Ahmad Peng Yong Hoo Thiam Leng Chew Faculty of Chemical Engineering&Technology Universiti Malaysia Perlis(UniMAP)Perlis 02600Malaysia Centre of Excellent for Frontier Materials Research Universiti Malaysia Perlis(UniMAP)Perlis 02600Malaysia School of Chemical Engineering Engineering CampusUniversiti Sains MalaysiaPenang 14300Malaysia Department of Chemical Engineering Faculty of EngineeringUniversiti Teknologi PETRONASPerak 32610Malaysia CO_(2) Research Centre(CO2RES) Institute of Contaminant ManagementUniversiti Teknologi PETRONASPerak 32610Malaysia

Membrane technology is ideal for removing aqueous humic acid,but humic acid deposits cause membrane fouling,a significant challenge that limits its ***,this work proposed an alternative approach to the controllably magnetically induced magnetohybrid polyoxometalate(magneto-HPOM)nanocomposite migration toward the polyethersulfone(PES)membrane surface under a magnetic field to enhance the self-cleaning and antifouling functionalities of the *** incorporating magneto-HPOM nanocomposite into the PES casting solution,functionalized magnetite nanoparticles(F-MNP)were first coated with HPOM photocatalyst to fabricate a magneto-HPOM-PES *** was shown that the apparent impacts of this novel magneto-HPOM-PES membrane on the hydrophilic behavior and photocatalytic properties of the magneto-HPOM nanocomposite improve the hydrophilicity,separation performance,antifouling and self-cleaning properties of the membrane compared with neat PES ***,after exposure to ultraviolet light,the magneto-HPOM-PES membrane can be recovered after three cycles with a flux recovery ratio of 107.95%,100.06%,and 95.56%,which is attributed to the temporal super hydrophilicity ***,the magneto-HPOM-PES membrane could efficiently maintain 100%humic acid rejection for the first and second cycles and 99.81%for the third *** study revealed a novel approach to fabricating membranes with high antifouling and self-cleaning properties for water treatment.

关键词： magneto-hybrid polyoxometalate nanocomposite composite membrane antifouling self-cleaning magnetic and photocatalytic responsiveness

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Technologies Behind the Smart Grid and Internet of Things: A System Survey

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Computers, Materials & Continua 2023年第6期75卷 5049-5072页

作者： Kuldeep Sharma Arun Malik Isha Batra A.S.M.Sanwar Hosen Md abdul latif Sarker Dong Seog Han Department of Computer Science and Engineering Lovely Professional UniversityPunjabIndia Department of Artificial Intelligence and Big Data Woosong UniversityDaejeon34606Korea Center for ICT&Automotive Convergence Kyungpook National UniversityDaegu41566Korea School of Electronics Engineering Kyungpook National UniversityDaegu41566Korea

Electric smart grids enable a bidirectional flow of electricity and information among power system *** proper monitoring and con-trolling of power quality,reliability,scalability and flexibility,there is a need for an environmentally friendly system that is transparent,sustainable,cost-saving,energy-efficient,agile and *** paper provides an overview of the emerging technologies behind smart grids and the internet of *** dependent variables are identified by analyzing the electricity consumption patterns for optimal utilization and planning preventive maintenance of their legacy assets like power distribution transformers with real-time parameters to ensure an uninterrupted and reliable power *** addition,the paper sorts out challenges in the traditional or legacy electricity grid,power generation,transmission,distribution,and revenue management challenges such as reduc-ing aggregate technical and commercial loss by reforming the existing manual or semi-automatic techniques to fully smart or automatic *** article represents a concise review of research works in creating components of the smart grid like smart metering infrastructure for postpaid as well as in prepaid mode,internal structure comparison of advanced metering methods in present scenarios,and communication systems.

关键词： Electricity consumption bidirectional advanced meter infrastructure energy internet of things smart grid smart meter

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