|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Breeding for pre-harvest sprouting resistance in bread wheat under rainfed conditions显示文摘Pre-harvest sprouting in wheat is the germination of seeds within the spikes when rains occur after or during grain ripening, which occurs commonly in the barani tract of Pakistan. Therefore, 10 cultivars and five advanced lines of spring bread wheat were evaluated for pre-harvest sprouting resistance. After natural rainfall,seeds were immediately collected from the wet spikes and tested for germinating ability. Three different germination tests were applied to hand-threshed seed:(1) spikes threshed on the day of sampling and germination tested immediately,(2) spikes threshed on the day of sampling and germination tested 1 week later, and(3) spikes threshed 1 week after sampling and germination test immediately after threshing. Seeds and spikes kept for 1 week were place on blotting paper at room temperature.Cultivars BARS-09, 09 FJ17, Doukkala-12, NARC-09 and Ouassou-20 exhibited higher sprouting resistance while other genotypes were susceptible to pre-harvest sprouting in each of the three tests. A diallel crossing was conducted with six susceptible and two resistant genotypes to assess the genetic behavior of pre-harvest sprouting resistance.The combining ability(CA) demonstrated a higher proportion of additive genetic effects for sprouting resistance, because of higher variance of general and specific CA for both parameters under study. Doukkala-12 and BARS-09 showed increased pre-harvest sprouting resistance in their F1 descendants. | Muhammad ZEESHAN Waheed ARSHAD Muhammad Imran KHAN Shiraz ALI Ali NAWAZ Amina BATOOL Muhammad TARIQ Muhammad Imran AKRAM Muhammad Amjad ALI | 2018 | Frontiers of Agricultural Science and Engineering2018，5，2： | 1 |
| 2 | Green Synthesis of Silver Nanoparticles: Structural Features and In Vivo and In Vitro Therapeutic Effects against Helicobacter pylori Induced Gastritis显示文摘 | Muhammad Amin Sadaf Hameed Asghar Ali Farooq Anwar Shaukat Ali Shahid Imran Shakir Aqdas Yaqoob Sara Hasan Safyan Akram Khan Sajjad-ur-Rahman Imre Sovago | 2014 | Bioinorganic Chemistry and Applications2014，，： | 1 |
| 3 | AMC Integrated Multilayer Wearable Antenna for Multiband WBAN Applications显示文摘In this paper,a compact,efficient and easy to fabricate wearable antenna integrated with Artificial Magnetic Conductor(AMC)is presented.Addition of slots and bevels/cuts in the rectangular monopole patch antenna yield a wide bandwidth along with band notches.The proposed antenna is backed with an AMC metasurface that changes the bidirectional radiation pattern to a unidirectional,thus,considerably reducing the Specific Absorption Ratio(SAR).The demonstrated antenna has a good coverage radiating away from the body and presents reduced radiation towards the body with a front-to-back ratio of 13 dB and maximum gain of 3.54 dB.The proposed design operates over a wide frequency band of 2.9 to 12 GHz(exceeding the designated 3.1−10.6 GHz Ultra-Wideband(UWB)band).The band notches were created using slots on the radiating patch in the sub-bands from 5.50 to 5.67 GHz and 7.16 to 7.74 GHz.The overall dimensions of the structure are 33×33×6.75 mm3.The antenna’s radiation performance increased considerably with the addition of the AMC layer.The SAR values for the antenna are reduced by 85.3%when the AMC is used and are 0.083 W/kg which is well below the FCC SAR limits.The simple design,miniaturized profile,low SAR and wide operating bands with multiple band notches make the presented antenna an appealing choice for several UWB wearable body area network(WBAN)applications. | Iqra Aitbar Nosherwan Shoaib Akram Alomainy Abdul Quddious Symeon Nikolaou Muhammad Ali Imran Qammer H.Abbasi | 2022 | Computers, Materials & Continua2022，，5： | 0 |
| 4 | A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification显示文摘This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)images.ICH refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate diagnosis.It is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the skull.Many computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan levels.However,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage costs.Further,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical applications.To overcome these problems,a fast and efficient system for the automatic detection of ICH is needed.We designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final predictions.The data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection challenge.Our model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification. | Muhammad Naeem Akram Muhammad Usman Yaseen Muhammad Waqar Muhammad Imran Aftab Hussain | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 5 | From Molecular Pathology of COVID-19 to Nigella Sativum as a Treatment Option:Scientific Based Evidence of Its Myth or Reality显示文摘COVID-19 virus is a causative agent of viral pandemic in human beings which specifically targets respiratory system of humans and causes viral pneumonia.This unusual viral pneumonia is rapidly spreading to all parts of the world,currently affecting about 105 million people with 2.3 million deaths.Current review described history,genomic characteristics,replication,and pathogenesis of COVID-19 with special emphasis on Nigella sativum(N.sativum)as a treatment option.N.sativum seeds are historically and religiously used over the centuries,both for prevention and treatment of different diseases.This review summarizes the potential role of N.sativum seeds against COVID-19 infection at levels of in silico,cell lines and animal models. | Muhammad Atif Farrah Naz Junaid Akhtar Muhammad Imran Sidrah Saleem Javed Akram Muhammad Imran Muhammad Ikram Ullah | 2022 | Chinese Journal of Integrative Medicine2022，28，1： | 0 |
| 6 | Enhanced Steganalysis for Color Images Using Curvelet Features and Support Vector Machine显示文摘Algorithms for steganography are methods of hiding data transfers in media files.Several machine learning architectures have been presented recently to improve stego image identification performance by using spatial information,and these methods have made it feasible to handle a wide range of problems associated with image analysis.Images with little information or low payload are used by information embedding methods,but the goal of all contemporary research is to employ high-payload images for classification.To address the need for both low-and high-payload images,this work provides a machine-learning approach to steganography image classification that uses Curvelet transformation to efficiently extract characteristics from both type of images.Support Vector Machine(SVM),a commonplace classification technique,has been employed to determine whether the image is a stego or cover.The Wavelet Obtained Weights(WOW),Spatial Universal Wavelet Relative Distortion(S-UNIWARD),Highly Undetectable Steganography(HUGO),and Minimizing the Power of Optimal Detector(MiPOD)steganography techniques are used in a variety of experimental scenarios to evaluate the performance of the proposedmethod.Using WOW at several payloads,the proposed approach proves its classification accuracy of 98.60%.It exhibits its superiority over SOTA methods. | Arslan Akram Imran Khan Javed Rashid Mubbashar Saddique Muhammad Idrees Yazeed Yasin Ghadi Abdulmohsen Algarni | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员