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Focus on current and emerging treatment options for glioma:A comprehensive review

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World Journal of Clinical Oncology 2024年第4期15卷 482-495页

作者： Brandon Lucke-Wold Burhanuddin Sohail Rangwala Muhammad Ashir Shafique Mohammad Arham Siddiq Muhammad Saqlain Mustafa Fnu Danish Rana Muhammad Umer Nasrullah Noor Zainab abdul haseeb Department of Neurosurgery University of FloridaGainesvilleFL 32608United States Department of Neurosurgery Jinnah Sindh Medical UniversityKarachi 75510Pakistan Department of Neurosurgery Army Medical CollegeRawalpindi 46000Pakistan

This comprehensive review delves into the current updates and challenges associated with the management of low-grade gliomas(LGG),the predominant primary tumors in the central nervous *** a general incidence rate of 5.81 per 100000,gliomas pose a significant global concern,necessitating advancements in treatment techniques to reduce mortality and *** review places a particular focus on immunotherapies,discussing promising agents such as Zotiraciclib and ***,a CDK9 inhibitor,has demonstrated efficacy in glioblastoma treatment in preclinical and clinical studies,showing its potential as a therapeutic ***,a viral immunotherapy,induces inflammation in glioblastoma and displays positive outcomes in both adult and pediatric *** of immunotherapy extends to Pembrolizumab,Nivolumab,and Entrectinib,revealing the challenges and variabilities in patient *** promising preclinical data,the monoclonal antibody Depatuxizumab has proven ineffective in glioblastoma treatment,emphasizing the critical need to understand resistance *** review also covers the success of radiation therapy in pediatric LGG,with evolving techniques,such as proton therapy,showing potential improvements in patient quality of *** treatment is discussed in the context of achieving a balance between preserving the patient’s quality of life and attaining gross total resection,with the extent of surgical resection significantly influencing the survival *** addition to advancements in cancer vaccine development,this review highlights the evolving landscape of LGG treatment,emphasizing a shift toward personalized and targeted *** research is essential for refining strategies and enhancing outcomes in the management of LGG.

关键词： Low-grade gliomas Monoclonal antibody Lerapolturev Glioblastoma CDK9 inhibitor

Proteomic analysis of pathogen-responsive proteins from maize stem apoplast triggered by Fusarium verticillioides

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Journal of Integrative Agriculture 2022年第2期21卷 446-459页

作者： Hafiz abdul haseeb ZHANG Jun GUO Yu-shuang GAO Mei-xu GUO Wei Institute of Food Science and Technology Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-products Quality and Safety Control in Storage and Transport ProcessMinistry of Agriculture and Rural AffairsBeijing 100193P.R.China Key Laboratory of Molecular Genetics China National Tobacco CorporationGuizhou Institute of Tobacco ScienceGuiyang 550081P.R.China

During the attack of a pathogen, a variety of defense-associated proteins are released by the host plant in the apoplast to impede the perceived attack. This study utilized the mass spectrometry(LC-MS/MS) and label-free quantification method to analyze the apoplastic fluid(APF) from maize stalk and identified the proteins responsive to the Fusarium verticillioides infection. We have identified 742 proteins, and among these, 119 proteins were differentially accumulated(DAPs), i.e., 35 up-regulated, 18 down-regulated, and 66 proteins were only induced by the pathogen infection. The differentially accumulated proteins were analyzed for their Gene Ontology(GO) and Kyoto Encyclopedia of Gene and Genomes(KEGG) pathway enrichment. The highly enriched Biological Process(BP) term was the L-serine biosynthesis process, whereas the most enriched Molecular Function(MF) term was the cysteine-type endopeptidase inhibitor activity. It was also found that the pathways related to the biosynthesis of amino acid, biosynthesis of secondary metabolites, protein processing in the endoplasmic reticulum, and carbohydrate metabolic pathways were significantly enriched. Moreover, 61 out of 119 differentially accumulated proteins were predicted as secretory proteins. The secretory pathways analysis showed that a greater number of proteins were secreted through the conventional secretion system compared to the unconventional secretion system. The identified secreted proteins were related to a variety of pathways in defense responses including cell redox homeostasis, cell wall modification, signal transduction, carbohydrate metabolism, binding proteins(metal ion binding, RNA binding and heme-binding), maintenance and stabilization of other proteins, indicating a complex response from the plant to the fungal infection. Our data suggested that a number of host proteins belonging to various pathways have been modulated in the apoplastic region.

关键词： apoplastic proteins maize defense response proteome Fusarium verticillioides

A low complexity online controller using fuzzy logic in energy harvesting WSNs

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Science China(Information Sciences) 2019年第4期62卷 167-176页

作者： Talha AZFAR Waqas AHMED abdul haseeb Rizwan AHMAD Sufi Tabassum GUL Fu-Chun ZHENG Department of Electrical Engineering Pakistan Institute of Engineering and Applied Sciences (PIEAS) School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) School of Electronic and Information Engineering Harbin Institute of Technology

In this paper, we present a fuzzy logic based scheme for a two hop energy harvesting(EH)wireless sensor network(WSN). Incorporating data and energy causality constraints, discrete transmission rates, finite energy and data buffers, a fuzzy model is developed which uses network throughput, battery level and channel gain as inputs. The fuzzy scheme is then compared with optimum, modified optimum, and Markov decision process(MDP) schemes in terms of computational complexity, throughput, battery level and data buffer capacity. The throughput results show that the fuzzy online scheme preforms closely to the compared schemes and avoids battery depletion even when the number of discrete transmission rates are increased.

关键词： wireless sensor networks energy harvesting cooperative communications fuzzy logic

Nitrate contamination in groundwater of Kabul Province,Afghanistan:Reasons behind and conceptual management framework discourse

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Journal of Mountain Science 2022年第5期19卷 1274-1291页

作者： JAWADI Hussain Ali IQBAL Mohammad Wasim NASERI Mohammad FARAHMAND Asadullah AZIZI abdul haseeb EQRAR Mohammad Naiem Afghanistan National Water and Environmental Research Center(ANWERC) Kabul 1006Afghanistan Department of Geology Faculty of GeosciencesBamyan UniversityBamyan CityBamyan 1601Afghanistan School of Sustainable Engineering and the Built Environment Arizona State UniversityTempe AZ 85287-8704USA Department of Hydrogeology Ministry of Energy and WaterKabul 1006Afghanistan CITEngineering International Co. LtdTokyoJapan Department of Geology Faculty of GeosciencesKabul UniversityKabul 1006Afghanistan

Groundwater contamination has been on the rise in *** has become a major concern among the policy *** paper aims to propose practical options for the management of nitrate contamination in one of Afghanistan’s groundwater polluted provinces,*** management framework utilized Mann-Kendall and Sen Slope tests to detect nitrate trend and geostatistical analysis option in Arc GIS 10.5 to assess the nitrate *** explore the impact of various management options,a number of legislative documents were *** results indicate a decline in the nitrate storage of Kabul aquifers from 108 mg/L in 2005 to 0.044 mg/L in *** the whole period of the study,the results show that the nitrate volumes remain lower than the nitrate concentration range proposed by World Health Organization(50 mg/L).Groundwater dynamics in Kabul aquifers were influenced by nitrate derived from precipitation and nitrate input from root zones in agricultural ***,different management options for groundwater pollution from nitrate and corresponding authorities,incorporated urban,rural and agriculture,were *** is expected that this study will help policy makers to better manage the nitrate storage of Kabul aquifers by implementing the proposed management options.

关键词： Nitrate concentration Groundwater Afghanistan Effective parameter Management option

A Fusion of Residual Blocks and Stack Auto Encoder Features for Stomach Cancer Classification

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Computers, Materials & Continua 2023年第12期77卷 3895-3920页

作者： abdul haseeb Muhammad Attique Khan Majed Alhaisoni Ghadah Aldehim Leila Jamel Usman Tariq Taerang Kim Jae-Hyuk Cha Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut1100Lebanon College of Computer Science and Engineering University of Ha’ilHa’il81451Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428RiyadhSaudi Arabia Department of Management Information Systems College of Business AdministrationPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

Diagnosing gastrointestinal cancer by classical means is a hazardous *** have witnessed several computerized solutions for stomach disease detection and ***,the existing techniques faced challenges,such as irrelevant feature extraction,high similarity among different disease symptoms,and the least-important features from a single *** paper designed a new deep learning-based architecture based on the fusion of two models,Residual blocks and Auto ***,the Hyper-Kvasir dataset was employed to evaluate the proposed *** research selected a pre-trained convolutional neural network(CNN)model and improved it with several residual *** process aims to improve the learning capability of deep models and lessen the number of ***,this article designed an Auto-Encoder-based network consisting of five convolutional layers in the encoder stage and five in the decoder *** research selected the global average pooling and convolutional layers for the feature extraction optimized by a hybrid Marine Predator optimization and Slime Mould optimization *** features of both models are fused using a novel fusion technique that is later classified using the Artificial Neural Network *** experiment worked on the HyperKvasir dataset,which consists of 23 stomach-infected *** last,the proposed method obtained an improved accuracy of 93.90%on this *** is also conducted with some recent techniques and shows that the proposed method’s accuracy is improved.

关键词： Gastrointestinal cancer contrast enhancement deep learning information fusion feature selection machine learning

Cluster-Based Group Mobility Support for Smart IoT

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Computers, Materials & Continua 2021年第8期68卷 2329-2347页

作者： Kanwal Imran Nasreen Anjum Saeed Mahfooz Muhammad Zubair Zhahoui Yang abdul haseeb Malik Qazi Ejaz Ali Madeeha Aman Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Computer Science Khushal Khan Khattak UniversityKarak27200Pakistan Department of Informatics King’s College LondonUK

IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)infrastructure and allows mobile nodes to send packets over the IEEE 802.15.4 wireless *** mobility managements schemes have been suggested for handling the registration and handover procedures in ***,these schemes have performance constraints,such as increased transmission cost,signalling overhead,registration,and handover *** address these issues,we propose a novel cluster-based group mobility scheme(CGM6)for *** reduce the signalling cost in the CGM6 scheme,we propose to combine the functions of the Authentication,Authorization and Accounting(AAA)server and Local Mobility Anchor(LMA)in AMAG6(AAA+MAG for 6LoWPAN).AMAG6 acts as a cluster head and exchange its information directly with its neighbouring AMAG6 during the ***,AMAG6 is responsible for the binding and authentication *** reduce the transmission cost,we also propose enhancements in registration and Handover *** performance of CGM6 is evaluated through extensive *** simulation results show that CGM6 has reduced the handoff latency by 32%,registration delay by 11%and transmission cost by 37%compared to the state-of-the-art mobility management schemes.

关键词： 6LoWPAN IoTs mobility management registration handover proxyMIPv6(PMIPv6)

Synthesis and Charcterization of Silane Crosslinked Hydrogel to pH Sensitive Study

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American Journal of Analytical Chemistry（美国分析化学） 2024年第5期 165页

作者： Muhammad Awais Shahid abdul haseeb Tahir Zeeshan Ahmad Muhammad Arslan Muhammad Tanveer

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生物声呐孔径与其波束图的关系

生物声呐孔径与其波束图的关系

作者： abdul haseeb NIZAMANI 山东大学

学位级别：硕士

一个好的统计模型对于许多领域非常有用,如计算机视觉,3D建模,视觉跟踪,计算机图形和动画。从过去几十年开始使用统计建模,但由于数据的高维性,设计具有更高精度的复杂模型对于研究人员来说仍然是一项具有挑战性的任务。在我们的工作中... 详细信息

一个好的统计模型对于许多领域非常有用,如计算机视觉,3D建模,视觉跟踪,计算机图形和动画。从过去几十年开始使用统计建模,但由于数据的高维性,设计具有更高精度的复杂模型对于研究人员来说仍然是一项具有挑战性的任务。在我们的工作中,我们使用高斯过程动力学模型来预测蝙蝠耳朵的非线性运动。在实验期间用于记录视频帧序列的高速摄像机,两个摄像机被设置为捕获帧速率为400HZ的图像的视频序列,并且记录的摄像机分辨率为1280 × 1024像素。相机设计用于校准蝙蝠耳廓表面上绘制的3D地标点,相机位于耳廓的左侧和右侧,以避免遮挡.Matlab工具箱用于校准蝙蝠耳廓的三维地标点耳廓运动的细网状结构。根据在给定运动期间捕获地标点的程度,手动选择要包括在立体声重建中的高速摄像机。帧的每个坐标用于重建在地面上绘制的地标点的三维结构。使用立体三角测量的耳廓。为了在这些条件下设计一个好的模型,我们应用高斯过程动力学建模来学习几乎在运动循环的地方的低维流形。蝙蝠产生两种不同类型的刚性和非刚性运动,也称为开放和闭合运动,在我们提出的技术中,我们使用了非刚性运动数据,这种数据在结构上具有高度的尺寸和非线性。我们在蝙蝠的耳朵上绘制白色标记,将点绘制在蝙蝠耳廓上。每次蝙蝠产生不同的运动顺序。几乎不可能诱导蝙蝠再次执行相同类型的运动,这使得预测具有相同结构的更多穗部运动序列变得更加复杂。由于耳廓运动的非线性和高维度,选择了高斯过程动态模型(GPDM)。GPDM是潜变量模型,它包含具有关联动态的低维表示。GPDM将观测空间映射到潜在空间,将潜在空间映射回观测空间。我们的研究采取了几个步骤,下面列出了收集和分析整个工作中使用的数据的方法1-从实验角度来看,高速摄像机正在录制蝙蝠耳廓运动的视频序列。2-Matlab工具箱用于校准给定运动的界标点,并重建在耳廓外表面上标记的每个点的三维坐标。3主成分分析(PCA),我们收集的数据是高维的。PCA方法用于减少数据的维数。采用4-Hybrid MonteCarlos(HMC)进行采样,以测量潜在空间的不确定性。5-Balanced GPDM,我们初始化固定的超参数。6-Two Stage MAP估计,使用 Balance-GPDM和hyperparamters的手动调整7-特征空间预测,预测数据从潜在空间回到特征空间,以展示模拟运动。

关键词：生物声呐孔径测量动力学模型波束图

Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network

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Computer Systems Science & Engineering 2023年第11期47卷 2397-2415页

作者： abdul haseeb Muhammad Attique Khan Faheem Shehzad Majed Alhaisoni Junaid Ali Khan Taerang Kim Jae-Hyuk Cha Department of Computer Science HITEC UniversityTaxila47080Pakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser ***,the manual categorization of knee joint disorders is time-consuming,requires an expert person,and is *** article proposes a new approach to classifying knee osteoarthritis using deep learning and a whale optimization *** pre-trained deep learning models(Efficientnet-b0 and Densenet201)have been employed for the training and feature *** transfer learning with fixed hyperparameter values has been employed to train both selected models on the knee X-Ray *** the next step,fusion is performed using a canonical correlation approach and obtained a feature vector that has more information than the original feature *** that,an improved whale optimization algorithm is developed for dimensionality *** selected features are finally passed to the machine learning algorithms such as Fine-Tuned support vector machine(SVM)and neural networks for classification *** experiments of the proposed framework have been conducted on the publicly available dataset and obtained the maximum accuracy of 90.1%.Also,the system is explained using Explainable Artificial Intelligence(XAI)technique called occlusion,and results are compared with recent *** on the results compared with recent techniques,it is shown that the proposed method’s accuracy significantly improved.

关键词： Knee joints magnetic resonance imaging(MRI) deep learning fusion optimization neural network