|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Minimally invasive procedures on the lumbar spine显示文摘Degenerative disease of the lumbar spine is a common and increasingly prevalent condition that is often implicated as the primary reason for chronic low back pain and the leading cause of disability in the western world. Surgical management of lumbar degenerative disease has historically been approached by way of open surgical procedures aimed at decompressing and/or stabilizing the lumbar spine. Advances in technology andsurgical instrumentation have led to minimally invasive surgical techniques being developed and increasingly used in the treatment of lumbar degenerative disease. Compared to the traditional open spine surgery, minimally invasive techniques require smaller incisions and decrease approach-related morbidity by avoiding muscle crush injury by self-retaining retractors, preventing the disruption of tendon attachment sites of important muscles at the spinous processes, using known anatomic neurovascular and muscle planes, and minimizing collateral soft-tissue injury by limiting the width of the surgical corridor. The theoretical benefits of minimally invasive surgery over traditional open surgery include reduced blood loss, decreased postoperative pain and narcotics use, shorter hospital length of stay, faster recover and quicker return to work and normal activity. This paper describes the different minimally invasive techniques that are currently available for the treatment of degenerative disease of the lumbar spine. | Branko Skovrlj Jeffrey Gilligan Holt S Cutler Sheeraz A Qureshi | 2015 | World Journal of Clinical Cases2015，3，1： | 8 |
| 2 | Perioperative outcomes in minimally invasive lumbar spine surgery: A systematic review显示文摘AIM: To compare minimally invasive(MIS) and open techniques for MIS lumbar laminectomy, direct lateral and transforaminal lumbar interbody fusion(TLIF) surgeries with respect to length of surgery, estimated blood loss(EBL), neurologic complications, perioperative transfusion, postoperative pain, postoperative narcotic use, and length of stay(LOS).METHODS: A systematic review of previously published studies accessible through Pub Med was performed. Only articles in English journals or published with English language translations were included. Level of evidence of the selected articles was assessed. Statistical data was calculated with analysis of variance with P < 0.05 considered statistically significant.RESULTS: A total of 11 pertinent laminectomy studies, 20 direct lateral studies, and 27 TLIF studies were found. For laminectomy, MIS techniques resulted in a significantly longer length of surgery(177.5 min vs 129.0 min, P = 0.04), shorter LOS(4.3 d vs 5.3 d, P = 0.01) and less perioperative pain(visual analog scale: 16 ± 17 vs 34 ± 31, P = 0.04). There is evidence of decreased narcotic use for MIS patients(postoperative intravenous morphine use: 9.3 mg vs 42.8 mg), however this difference is of unknown significance. Direct lateral approaches have insufficient comparative data to establish relative perioperative outcomes. MIS TLIF had superior EBL(352 mL vs 580 mL, P < 0.0001) and LOS(7.7 d vs 10.4 d, P < 0.0001) and limited data to suggest lower perioperative pain.CONCLUSION: Based on perioperative outcomes data, MIS approach is superior to open approach for TLIF. For laminectomy, MIS and open approaches can be chosen based on surgeon preference. For lateral approaches, there is insufficient evidence to find noninferior perioperative outcomes at this time. | Branko Skovrlj Patrick Belton Hekmat Zarzour Sheeraz A Qureshi | 2015 | World Journal of Orthopedics2015，6，11： | 3 |
| 3 | Gotfried percu- taneous compression plating compared with sliding hip screw fix- ation of Intertrochanteric hip fractures 显示文摘 | EDWARD Y SHEERAZ Q SHAWN T | 2011 | J Bone Joim Surg Am2011，93，10： | 1 |
| 4 | Treatment of Crowe IV high hip dysplasia with total hip replacement using the Exeter stem and shortening derotational subtroehanterie osteotomy 显示文摘 | Charity JA Tsiridis E Sheeraz A | 2011 | J Bone Joint Surg2011，93，1： | 1 |
| 5 | Characteriza-tion of rat NDRG2(N-Myc downstream regulated gene 2),anovel early mineralocorticoid-specific induced gene显示文摘 | Sheerazed B Michel F Maria-Christina Z | 2002 | J BiolChem2002，277，31： | 1 |
| 6 | Inhibition of MicroRNA-92a Prevents Endothelial Dysfunction and Atherosclerosis in Mice显示文摘 | Xavier Loyer Stéphane Potteaux Anne-Clémence Vion Coralie L. Guérin Sheerazed Boulkroun Pierre-Emmanuel Rautou Bhama Ramkhelawon Bruno Esposito Marion Dalloz Jean-Louis Paul Pierre Julia Jean Maccario Chantal M. Boulanger Ziad Mallat Alain Tedgui | 2014 | Circulation Research2014，，3： | 1 |
| 7 | Gotfried percu - taneous compression plating compared with sliding hip screw fixation of Interochanteric hip fractures显示文摘 | Edward Y Sheeraz Q Shawn T | 2011 | J Bone Joint SuegAm2011，93，10： | 1 |
| 8 | Synovial sarcoma of the thoracic spine显示文摘 | Steven M. Koehler Mary B. Beasley Cynthia S. Chin James C. Wittig Andrew C. Hecht Sheeraz A. Qureshi | 2009 | The Spine Journal2009，，12： | 1 |
| 9 | SAPHO syndrome presenting as widespread bony metastatic disease of unknown origin显示文摘 | Mann B Shaerf DA Sheeraz A | 2012 | Rheumatol Int2012，32，2： | 1 |
| 10 | Treatment of Crowe Ⅳ high hip dysplasia with total hip replacement using the Exeter stem and shortening derotational subtrochanterlc osteotomy 显示文摘 | Charity J A Tsiridis E Sheeraz A | 2011 | J Bone Joint Surg Br2011，93，1： | 1 |
| 11 | Treatment of Crowe Ⅳhigh hip dysplasia with total hip replacement using the Exeter stem and shortening derotational subtrochanteric osteotomy显示文摘 | Charity JA Tsiridis E Sheeraz A | | 0，，01： | 1 |
| 12 | SAPHO syndrome presenting as widespread bony metastatic disease of unknown origin显示文摘 | Mann B Shaerf DA Sheeraz A | | 0，，02： | 1 |
| 13 | An Improved iBAT-COOP Protocol for Cooperative Diversity in FANETs显示文摘Flying ad hoc networks(FANETs)present a challenging environment due to the dynamic and highly mobile nature of the network.Dynamic network topology and uncertain node mobility structure of FANETs do not aim to consider only one path transmission.Several different techniques are adopted to address the issues arising in FANETs,from game theory to clustering to channel estimation and other statistical schemes.These approaches mostly employ traditional concepts for problem solutions.One of the novel approaches that provide simpler solutions to more complex problems is to use biologically inspired schemes.Several Nature-inspired schemes address cooperation and alliance which can be used to ensure connectivity among network nodes.One such species that resembles the dynamicity of FANETs are Bats.In this paper,the biologically inspired metaheuristic technique of the BAT Algorithm is proposed to present a routing protocol called iBATCOOP(Improved BAT Algorithm using Cooperation technique).We opt for the design implementation of the natural posture of bats to handle the necessary flying requirements.Moreover,we envision the concept of cooperative diversity using multiple relays and present an iBAT-COOP routing protocol for FANETs.This paper employs cooperation for an optimal route selection and reflects on distance,Signal to Noise Ratio(SNR),and link conditions to an efficient level to deal with FANET’s routing.By way of simulations,the performance of iBAT-COOP protocol outperforms BAT-FANET protocol and reduces packet loss ratio,end-to-end delay,and transmission loss by 81%,21%,and 82%respectively.Furthermore,the average link duration is improved by 25%compared to the BAT-FANET protocol. | Shahzad Hameed Qurratul-Ain Minhas Sheeraz Ahmed Shabana Habib Mohammad Kamrul Hasan Muhammad Islam Sheroz Khan | 2021 | Computers, Materials & Continua2021，，5： | 0 |
| 14 | Data Analysis of Network Parameters for Secure Implementations of SDN-Based Firewall显示文摘Software-Defined Networking(SDN)is a new network technology that uses programming to complement the data plane with a control plane.To enable safe connection,however,numerous security challenges must be addressed.Flooding attacks have been one of the most prominent risks on the internet for decades,and they are now becoming challenging difficulties in SDN networks.To solve these challenges,we proposed a unique firewall application built on multiple levels of packet filtering to provide a flooding attack prevention system and a layer-based packet detection system.This study offers a systematic strategy for wrapping up the examination of SDN operations.The Mininet simulator examines the effectiveness of SDN-based firewalls at various network tiers.The fundamental network characteristics that specify how SDN should operate.The three main analytical measures of the network are jitter,response time,and throughput.During regular operations,their behavior evaluates in the standard SDN conditions of Transmission Control Protocol(TCP)flooding and User Datagram Protocol(UDP)flooding with no SDN occurrences.Low Orbit Ion Cannon(LOIC)is applied to launch attacks on the transmission by the allocated server.Wireshark and MATLAB are used for the behavioral study to determine how sensitive the parameters are used in the SDN network and monitor the fluctuations of those parameters for different simulated scenarios. | Rizwan Iqbal Rashid Hussain Sheeraz Arif Nadia Mustaqim Ansari Tayyab Ahmed Shaikh | 2023 | Computers, Materials & Continua2023，77，11： | 0 |
| 15 | Fuzzy Based Hybrid Focus Value Estimation for Multi Focus Image Fusion显示文摘Due to limited depth-of-field of digital single-lens reflex cameras,the scene content within a limited distance from the imaging plane remains in focus while other objects closer to or further away from the point of focus appear as blurred(out-of-focus)in the image.Multi-Focus Image Fusion can be used to reconstruct a fully focused image from two or more partially focused images of the same scene.In this paper,a new Fuzzy Based Hybrid Focus Measure(FBHFM)for multi-focus image fusion has been proposed.Optimal block size is very critical step for multi-focus image fusion.Particle Swarm Optimization(PSO)algorithm has been used to find optimal size of the block of the images for extraction of focus measure features.After finding optimal blocks,three focus measures Sum of Modified Laplacian,Gray Level Variance and Contrast Visibility has been extracted and combined these focus measures by using intelligent fuzzy technique.Fuzzy based hybrid intelligent focus values were estimated using contrast visibility measure to generate focused image.Different sets of multi-focus images have been used in detailed experimentation and compared the results with state-of-the-art existing techniques such as Genetic Algorithm(GA),Principal Component Analysis(PCA),Laplacian Pyramid discrete wavelet transform(DWT),and aDWT for image fusion.It has been found that proposed method performs well as compare to existing methods. | Muhammad Ahmad M.Arfan Jaffar Fawad Nasim Tehreem Masood Sheeraz Akram | 2022 | Computers, Materials & Continua2022，，4： | 0 |
| 16 | 我不要做哥哥的影子显示文摘有一个优秀的哥哥是什么样的体验?也许你会为此感到自豪,但还有可能你会为此感到沮丧。因为无论走到哪里,总有人在你面前对你的哥哥赞不绝口,却对你的优秀视而不见,你就像哥哥的影子。这可真叫人郁闷。此时此刻,默默地忍受可不是什么好办法,大声反抗才是破除"魔咒"的出路。 | Shameera Sheeraz 张玲 | 2016 | 新东方英语(中学版)2016，0，8： | 0 |
| 17 | Lung Cancer Detection Using Modified AlexNet Architecture and Support Vector Machine显示文摘Lung cancer is the most dangerous and death-causing disease indicated by the presence of pulmonary nodules in the lung.It is mostly caused by the instinctive growth of cells in the lung.Lung nodule detection has a significant role in detecting and screening lung cancer in Computed tomography(CT)scan images.Early detection plays an important role in the survival rate and treatment of lung cancer patients.Moreover,pulmonary nodule classification techniques based on the convolutional neural network can be used for the accurate and efficient detection of lung cancer.This work proposed an automatic nodule detection method in CT images based on modified AlexNet architecture and Support vector machine(SVM)algorithm namely LungNet-SVM.The proposed model consists of seven convolutional layers,three pooling layers,and two fully connected layers used to extract features.Support vector machine classifier is applied for the binary classification of nodules into benign andmalignant.The experimental analysis is performed by using the publicly available benchmark dataset Lung nodule analysis 2016(LUNA16).The proposed model has achieved 97.64%of accuracy,96.37%of sensitivity,and 99.08%of specificity.A comparative analysis has been carried out between the proposed LungNet-SVM model and existing stateof-the-art approaches for the classification of lung cancer.The experimental results indicate that the proposed LungNet-SVM model achieved remarkable performance on a LUNA16 dataset in terms of accuracy. | Iftikhar Naseer Tehreem Masood Sheeraz Akram Arfan Jaffar Muhammad Rashid Muhammad Amjad Iqbal | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 18 | 我不要做哥哥的翻版显示文摘“哇,木彬是你哥哥?他可真是个聪明的孩子一我希望这次对话不会只围绕我那引入注目的哥哥展开,但实际情况正是如此。教我八年级代数的新老师喋喋不休地说着我哥哥有多用功。这让我感觉她永远不会对我有同样的评价。 | Shameera Sheeraz 张玲 | 2017 | 高中生(作文)2017，，1： | 0 |
| 19 | Enhancing ChatGPT’s Querying Capability with Voice-Based Interaction and CNN-Based Impair Vision Detection Model显示文摘This paper presents an innovative approach to enhance the querying capability of ChatGPT,a conversational artificial intelligence model,by incorporating voice-based interaction and a convolutional neural network(CNN)-based impaired vision detection model.The proposed system aims to improve user experience and accessibility by allowing users to interact with ChatGPT using voice commands.Additionally,a CNN-based model is employed to detect impairments in user vision,enabling the system to adapt its responses and provide appropriate assistance.This research tackles head-on the challenges of user experience and inclusivity in artificial intelligence(AI).It underscores our commitment to overcoming these obstacles,making ChatGPT more accessible and valuable for a broader audience.The integration of voice-based interaction and impaired vision detection represents a novel approach to conversational AI.Notably,this innovation transcends novelty;it carries the potential to profoundly impact the lives of users,particularly those with visual impairments.The modular approach to system design ensures adaptability and scalability,critical for the practical implementation of these advancements.Crucially,the solution places the user at its core.Customizing responses for those with visual impairments demonstrates AI’s potential to not only understand but also accommodate individual needs and preferences. | Awais Ahmad Sohail Jabbar Sheeraz Akram Anand Paul Umar Raza Nuha Mohammed Alshuqayran | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
| 20 | Nodule Detection Using Local Binary Pattern Features to Enhance Diagnostic Decisions显示文摘Pulmonary nodules are small, round, or oval-shaped growths on the lungs. They can be benign (noncancerous) or malignant (cancerous). The size of a nodule can range from a few millimeters to a few centimeters in diameter. Nodules may be found during a chest X-ray or other imaging test for an unrelated health problem. In the proposed methodology pulmonary nodules can be classified into three stages. Firstly, a 2D histogram thresholding technique is used to identify volume segmentation. An ant colony optimization algorithm is used to determine the optimal threshold value. Secondly, geometrical features such as lines, arcs, extended arcs, and ellipses are used to detect oval shapes. Thirdly, Histogram Oriented Surface Normal Vector (HOSNV) feature descriptors can be used to identify nodules of different sizes and shapes by using a scaled and rotation-invariant texture description. Smart nodule classification was performed with the XGBoost classifier. The results are tested and validated using the Lung Image Consortium Database (LICD). The proposed method has a sensitivity of 98.49% for nodules sized 3–30 mm. | Umar Rashid Arfan Jaffar Muhammad Rashid Mohammed S.Alshuhri Sheeraz Akram | 2024 | Computers, Materials & Continua2024，78，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员