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| 1 | Transcranial magnetic stimulation in animal models of neurodegeneration显示文摘Brain stimulation techniques offer powerful means of modulating the physiology of specific neural structures. In recent years, non-invasive brain stimulation techniques, such as transcranial magnetic stimulation(TMS) and transcranial direct current stimulation, have emerged as therapeutic tools for neurology and neuroscience. However, the possible repercussions of these techniques remain unclear, and there are few reports on the incisive recovery mechanisms through brain stimulation. Although several studies have recommended the use of non-invasive brain stimulation in clinical neuroscience, with a special emphasis on TMS, the suggested mechanisms of action have not been confirmed directly at the neural level. Insights into the neural mechanisms of non-invasive brain stimulation would unveil the strategies necessary to enhance the safety and efficacy of this progressive approach. Therefore, animal studies investigating the mechanisms of TMSinduced recovery at the neural level are crucial for the elaboration of non-invasive brain stimulation. Translational research done using animal models has several advantages and is able to investigate knowledge gaps by directly targeting neuronal levels. In this review, we have discussed the role of TMS in different animal models, the impact of animal studies on various disease states, and the findings regarding brain function of animal models after TMS in pharmacology research. | Mohammad Uzair Turki Abualait Muhammad Arshad Woo-Kyoung Yoo Ali Mir Reem Fahd Bunyan Shahid Bashir | 2022 | Neural Regeneration Research2022，17，2： | 4 |
| 2 | Vertical axis wind turbine – A review of various configurations and design techniques显示文摘 | Muhammad Mahmood Aslam Bhutta Nasir Hayat Ahmed Uzair Farooq Zain Ali Sh. Rehan Jamil Zahid Hussain | 2011 | Renewable and Sustainable Energy Reviews2011，，4： | 3 |
| 3 | A split target detection and tracking algorithm for ballistic missile tracking during the re-entry phase显示文摘In the re-entry phase of a ballistic missile,decoys can be deployed as a mean to overburden enemy defenses.This results in a single track being split into multiple track-lets.Tracking of these track-lets is a critical task as any miss in the tracking procedure can become a cause of a major threat.The tracking process becomes more complicated in the presence of clutter.The low detection rate is one of the factors that may contribute to increasing the difficulty level in terms of tracking in the cluttered environment.This work introduces a new algorithm for the split event detection and target tracking under the framework of the joint integrated probabilistic data association(JIPDA)algorithm.The proposed algorithm is termed as split event-JIPDA(SE-JIPDA).This work establishes the mathematical foundation for the split target detection and tracking mechanism.The performance analysis is made under different simulation conditions to provide a clear insight into the merits of the proposed algorithm.The performance parameters in these simulations are the root mean square error(RMSE),confirmed true track rate(CTTR)and confirmed split true track rate(CSTTR). | Muhammad Asad Sumair Khan Ihsanullah Zahid Mehmood Yifang Shi Sufyan Ali Memon Uzair Khan | 2020 | Defence Technology(防务技术)2020，16，6： | 2 |
| 4 | Molecular detection of Anaplasma infections in ixodid ticks from the Qinghai-Tibet Plateau显示文摘Anaplasma species are tick-transmitted obligate intracellular bacteria that infect many wild and domestic animals and humans.The prevalence ofAnaplasma spp.in ixodid ticks of Qinghai Province is poorly understood.In this study,a total of 1104 questing adult ticks were investigated for the infection ofAnaplasma species.As a result,we demonstrated the total infection rates of 3.1,11.1,5.6,and 4.5%forA.phagocytophilum,A.bovis,A.ovis andA.capra,respectively.All of the tick samples were negative forA.marginale.The positive rates ofA.phagocytophilum,A.ovis andA.capra in different tick species were significantly different.The positive rates ofA.capra andA.bovis in the male ticks were significantly higher than that in the female ticks.Sequence analysis ofA.ovis showed 99.5-100%identity to the previous reported isolates.The sequences ofA.phagocytophilum had 100%identity to strains Ap-SHX21,JC3-3 and ZAM dog-181 from sheep,Mongolian gazelles,and dogs.Two genotypes ofA.capra were found based on 16S rRNA,citrate synthase(gltA)gene and heat shock protein(groEL)gene analysis.In conclusion,A.bovis,A.ovis,A.phagocytophilum,andA.capra were present in the ticks in Qinghai Province.Anaplasma infection is associated with tick species,gender and distribution.These data will be helpful for understanding prevalence status ofAnaplasma infections in ticks in Qinghai-Tibet Plateau. | Rong Han Ji-Fei Yang Muhammad Uzair Mukhtar Ze Chen Qing-Li Niu Yuan-Qing Lin Guang-Yuan Liu Jian-Xun Luo Hong Yin Zhi-Jie Liu | 2019 | Infectious Diseases of Poverty2019，8，1： | 2 |
| 5 | Molecular hallmarks of long non-coding RNAs in aging and its significant effect on aging-associated diseases显示文摘Aging is linked to the deterioration of many physical and cognitive abilities and is the leading risk factor for Alzheimer’s disease. The growing aging population is a significant healthcare problem globally that researchers must investigate to better understand the underlying aging processes. Advances in microarrays and sequencing techniques have resulted in deeper analyses of diverse essential genomes(e.g., mouse, human, and rat) and their corresponding cell types, their organ-specific transcriptomes, and the tissue involved in aging. Traditional gene controllers such as DNA-and RNA-binding proteins significantly influence such programs, causing the need to sort out long non-coding RNAs, a new class of powerful gene regulatory elements. However, their functional significance in the aging process and senescence has yet to be investigated and identified. Several recent researchers have associated the initiation and development of senescence and aging in mammals with several well-reported and novel long non-coding RNAs. In this review article, we identified and analyzed the evolving functions of long non-coding RNAs in cellular processes, including cellular senescence, aging, and age-related pathogenesis, which are the major hallmarks of long non-coding RNAs in aging. | Syed Aoun Mehmood Sherazi Asim Abbasi Abdullah Jamil Mohammad Uzair Ayesha Ikram Shanzay Qamar Adediji Ayomide Olamide Muhammad Arshad Peter J.Fried Milos Ljubisavljevic Ran Wang Shahid Bashir | 2023 | Neural Regeneration Research2023，18，5： | 2 |
| 6 | 水稻窄叶突变体nal20的表型分析与基因定位显示文摘叶片作为植物光合作用的主要器官,其面积的大小影响着光能利用率和最终产量。为了研究水稻叶片形态建成的分子机制,利用60Co-γ射线诱变粳稻品种春江06,在M2代中得到1份窄叶突变体,命名为narrow leaf20(nal20)。该突变体叶片变窄、株高降低、分蘖增多、茎节间缩短、抽穗期提前。本研究重点调查了3片功能叶的形态,发现突变体叶片宽度减少了50%,叶片长度变化较小。细胞学观察表明,叶片变窄主要是由于表皮细胞数目的减少,而细胞大小变化不大。遗传分析表明,该突变体表型受1对隐性基因控制。利用具有多态性的In Del分子标记及nal20与Dular配制的F2定位群体,将该基因定位于第7染色体着丝粒区1.9 Mb范围内。二代测序结果表明,在该范围内有455 kb的大片段缺失。本研究结果为窄叶基因NAL20的克隆和功能分析奠定了良好基础,也为水稻株型改良提供了基因资源和育种材料。 | 龙海馨 邱海阳 Muhammad UZAIR 房静静 赵金凤 李学勇 | 2018 | 作物学报2018，44，9： | 2 |
| 7 | Anti-nociceptive, anti-inflammatory and sedative activities of the extracts and chemical constituents of Diospyros lotus L.显示文摘 | Ghias Uddin Abdur Rauf Bina S. Siddiqui Naveed Muhammad Ajmal Khan Syed Uzair Ali Shah | 2014 | Phytomedicine2014，，： | 1 |
| 8 | Green corrosion inhibitors intercalated Mg:Al layered double hydroxide coatings to protect Mg alloy显示文摘Mg alloy was protected with Mg:Al layered double hydroxide(LDH)coating intercalated with three green corrosion inhibitors(sodium benzoate,3-aminopropyltriethoxysilane and 8-hydroxyquinoline).The in-situ hydrothermal approach was adopted to intercalate corrosion inhibitors into Mg:Al LDH coating.The intercalated Mg:Al LDH coating was successfully acquired,and the crystalline structure of Mg:Al LDH coating was verified with X-ray diffraction(XRD).The organic functional groups of corrosion inhibitors were identified with the help of Fourier transform infrared spectroscopy(FTIR)and X-ray photoelectron spectroscopy(XPS).The compact and uniform morphology was confirmed by scanning electron microscopy(SEM).The electrochemical measurement revealed better corrosion resistance of corrosion inhibitorintercalated Mg:Al LDH coatings as compared to that of pristine Mg alloy.The corrosion protection mechanism of corrosion inhibitors was described and unearthed the corrosion inhibitor with the best performance. | Muhammad Junaid Anjum Jing-Mao Zhao Vahdat Zahedi Asl Muhammad Uzair Malik Ghulam Yasin Waheed Qamar Khan | 2021 | Rare Metals2021，40，8： | 1 |
| 9 | Vertical axis wind turbine A review of various configurations and design techniques 显示文摘 | Muhammad Mahmood Aslam Bhutta Nasir Hayat Ahmed Uzair Farooq | 2012 | Renew- able and Sustainable Energy Reviews2012，，16： | 1 |
| 10 | A Low-Cost,Real-Time Rooftop IoT-Based Photovoltaic(PV)System for Energy Management and Home Automation显示文摘This work discusses the importance of monitoring and energy management of green energy resources in order to minimize the negative impacts of electricity generation by regular power plants.The paper introduces a highly efficient,low-cost rooftop photovoltaics(PV)solar panel system which can provide monitoring,controlling and automation.The proposed system is based on Internet of Things(IoT)and can be used to control different utilities in any premises automatically or set by the user-defined priority list,as compared to the existing IoT-based PV systems which can only perform monitoring and maintenance of the PV panels or only certain parameters,i.e.,temperature,dust,etc.This is a new step in improving the efficiency of IoT-based PV system where the facility loads are automated by the IoT network.The proposed system can also provide a constant feedback about different parameters,i.e.,voltage,dust,sun irradiance and humidity,etc.,via low-cost open-source platforms for telemonitoring and controlling purposes.The simulation results showthat the proposed system provides a high efficiency to energize the utilities and utilize the available energy as compared to the manual control. | Muhammad Uzair Salah Al-Kafrawi Karam Al-Janadi Ibrahim Al-Bulushi | 2022 | Energy Engineering2022，119，1： | 0 |
| 11 | 3D Kronecker Convolutional Feature Pyramid for Brain Tumor Semantic Segmentation in MR Imaging显示文摘Brain tumor significantly impacts the quality of life and changes everything for a patient and their loved ones.Diagnosing a brain tumor usually begins with magnetic resonance imaging(MRI).The manual brain tumor diagnosis from the MRO images always requires an expert radiologist.However,this process is time-consuming and costly.Therefore,a computerized technique is required for brain tumor detection in MRI images.Using the MRI,a novel mechanism of the three-dimensional(3D)Kronecker convolution feature pyramid(KCFP)is used to segment brain tumors,resolving the pixel loss and weak processing of multi-scale lesions.A single dilation rate was replaced with the 3D Kronecker convolution,while local feature learning was performed using the 3D Feature Selection(3DFSC).A 3D KCFP was added at the end of 3DFSC to resolve weak processing of multi-scale lesions,yielding efficient segmentation of brain tumors of different sizes.A 3D connected component analysis with a global threshold was used as a post-processing technique.The standard Multimodal Brain Tumor Segmentation 2020 dataset was used for model validation.Our 3D KCFP model performed exceptionally well compared to other benchmark schemes with a dice similarity coefficient of 0.90,0.80,and 0.84 for the whole tumor,enhancing tumor,and tumor core,respectively.Overall,the proposed model was efficient in brain tumor segmentation,which may facilitate medical practitioners for an appropriate diagnosis for future treatment planning. | Kainat Nazir Tahir Mustafa Madni Uzair Iqbal Janjua Umer Javed Muhammad Attique Khan Usman Tariq Jae-Hyuk Cha | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 12 | A reference-grade genome assembly for Gossypium bickii and insights into its genome evolution and formation of pigment glands and gossypol显示文摘The pigment gland is a morphological characteristic of Gossypium and its related genera.Gossypium bickii(G_(1))is characterized by delayed pigment gland morphogenesis in the cotyledons.In this study,a referencegrade genome of G_(1) was generated,and comparative genomics analysis showed that G_(1) was closest to Gossypium australe(G_(2)),followed by A-and D-genome species.Two large fragment translocations in chromosomes 5 and 13 were detected between the G genome and other Gossypiumgenomes and were unique to the G_(1) and G_(2) genomes.Compared with the G_(2) genome,two large fragment inversions in chromosomes 12 and 13 were detected in G_(1).According to the phylogeny,divergence time,and similarity analysis of nuclear andchloroplast genomes,G_(1)was formedby hybridization between Gossypium sturtianum(C_(1))and a common ancestor of G_(2) and Gossypiumnelsonii(G_(3)).The coordinated expression patterns of pigment gland formation(GoPGF)and gossypol biosynthesis genes in G_(1) were verified to be consistent with its phenotype,and nine genes thatwere related to theprocessof pigmentgland formationwere identified.Anovel gene,GbiCYP76B6,regulated by GoPGF,was found to affect gossypol biosynthesis.These findings offer insights into the origin and evolution of G_(1) and its mechanism of pigment gland formation and gossypol biosynthesis. | Kuang Sheng Yue Sun Meng Liu Yuefen Cao Yifei Han Cheng Li Uzair Muhammad Muhammad Khan Daud Wanru Wang Huazu Li Samrana Samrana Yixuan Hui Shuijin Zhu Jinhong Chen Tianlun Zhao | 2023 | Plant Communications2023，4，1： | 0 |
| 13 | Origin of Quartz Cement in the Paleogene Sandstone Reservoir of Shahejie Formation,Bohai Bay Basin,China显示文摘The precipitation of authigenic quartz plays a significant role to reduce the reservoir characteristics and enhance the stiffness of the rock.The Es_(1) sandstone of Shahejie Formation is acting as a significant hydrocarbon producing rock in the Nanpu Sag.Various methods like thin section petrography,cathodoluminescence(CL),scanning electron microscope(SEM,with EDS),and electron microprobe analysis has been used to reveal the origin of quartz cement as well as to evaluate the effect of quartz cement on reservoir quality.The studied sandstone is classified as immature to mature feldspathic litharenite and lithic arkose and consists of quartz,feldspar,rock fragments and micas.Petrographic studies and SEM analysis shows that the authigenic quartz is acting a significant cement that reduces the reservoir quality.Whereas clay minerals(kaolinite and mixed layer illite to smectite)are dominant in the Es_(1) sandstone,that can reduce the reservoir quality.SEM,CL and thin section analysis reveal that there are two stages of quartz cement in the studied samples;that are pore filling authigenic cement and quartz overgrowth cement.Fluid inclusion homogenization temperatures shows that stages of quartz cement were developed with continuous process from 70℃ to 130℃.Quartz cements were generally originated from I/S reaction,feldspar dissolution,conversion of rock fragments and pressure solution.Feldspar dissolution(K-feldspar)and kaolinite to illite reaction is an insignificant silica source for the silica cement which is internally precipitated in a close system with diffusion transporting mechanism.Overall,quartz cement significantly enhance the rock strengthen and brittleness effectively as well as it reduce the overall reservoir quality. | Muhammad KASHIF CAO Yingchang Nizam Ud DIN Uzair SIDDIQUE XI Kelai Faisal REHMAN Noor AHMED GU Xihao Mohammad Saleh GAGHMAN | 2022 | Acta Geologica Sinica(English Edition)2022，96，1： | 0 |
| 14 | A Progressive Approach to Generic Object Detection: A Two-Stage Framework for Image Recognition显示文摘Object detection in images has been identified as a critical area of research in computer vision image processing.Research has developed several novel methods for determining an object’s location and category from an image.However,there is still room for improvement in terms of detection effi-ciency.This study aims to develop a technique for detecting objects in images.To enhance overall detection performance,we considered object detection a two-fold problem,including localization and classification.The proposed method generates class-independent,high-quality,and precise proposals using an agglomerative clustering technique.We then combine these proposals with the relevant input image to train our network on convolutional features.Next,a network refinement module decreases the quantity of generated proposals to produce fewer high-quality candidate proposals.Finally,revised candidate proposals are sent into the network’s detection process to determine the object type.The algorithm’s performance is evaluated using publicly available the PASCAL Visual Object Classes Challenge 2007(VOC2007),VOC2012,and Microsoft Common Objects in Context(MS-COCO)datasets.Using only 100 proposals per image at intersection over union((IoU)=0.5 and 0.7),the proposed method attains Detection Recall(DR)rates of(93.17%and 79.35%)and(69.4%and 58.35%),and Mean Average Best Overlap(MABO)values of(79.25%and 62.65%),for the VOC2007 and MS-COCO datasets,respectively.Besides,it achieves a Mean Average Precision(mAP)of(84.7%and 81.5%)on both VOC datasets.The experiment findings reveal that our method exceeds previous approaches in terms of overall detection performance,proving its effectiveness. | Muhammad Aamir Ziaur Rahman Waheed Ahmed Abro Uzair Aslam Bhatti Zaheer Ahmed Dayo Muhammad Ishfaq | 2023 | Computers, Materials & Continua2023，，6： | 0 |
| 15 | A Hybrid Attention-Based Residual Unet for Semantic Segmentation of Brain Tumor显示文摘Segmenting brain tumors in Magnetic Resonance Imaging(MRI)volumes is challenging due to their diffuse and irregular shapes.Recently,2D and 3D deep neural networks have become famous for medical image segmentation because of the availability of labelled datasets.However,3D networks can be computationally expensive and require significant training resources.This research proposes a 3D deep learning model for brain tumor segmentation that uses lightweight feature extraction modules to improve performance without compromising contextual information or accuracy.The proposed model,called Hybrid Attention-Based Residual Unet(HA-RUnet),is based on the Unet architecture and utilizes residual blocks to extract low-and high-level features from MRI volumes.Attention and Squeeze-Excitation(SE)modules are also integrated at different levels to learn attention-aware features adaptively within local and global receptive fields.The proposed model was trained on the BraTS-2020 dataset and achieved a dice score of 0.867,0.813,and 0.787,as well as a sensitivity of 0.93,0.88,and 0.83 for Whole Tumor,Tumor Core,and Enhancing Tumor,on test dataset respectively.Experimental results show that the proposed HA-RUnet model outperforms the ResUnet and AResUnet base models while having a smaller number of parameters than other state-of-the-art models.Overall,the proposed HA-RUnet model can improve brain tumor segmentation accuracy and facilitate appropriate diagnosis and treatment planning for medical practitioners. | Wajiha Rahim Khan Tahir Mustafa Madni Uzair Iqbal Janjua Umer Javed Muhammad Attique Khan Majed Alhaisoni Usman Tariq Jae-Hyuk Cha | 2023 | Computers, Materials & Continua2023，，7： | 0 |
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