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| 1 | Synergistic antibacterial effect of honey and Herba Ocimi Basilici against some bacterial pathogens显示文摘OBJECTIVE: To evaluate the antibacterial activity of the combination of different honey brands and methanolic fraction of Herba Ocimi Basilici using agar well diffusion assay. METHODS: The antibacterial activity was determined against thirteen pathogenic bacterial clinical isolates including six gram negative(Klebsiella pneumonia, Pseudomonas aeroginosa, Escherichia coli, Salmonella typhi, Salmonella typhimirium, Xanthomonas campestris) and six gram positive strains(Enterococcus faecalis faecalis, Bacillus subtilis, Staphylococcus aureus, Clostridium perfringens type C, Clostridium perfringens type D, Clostridium chauvoei). Agar well diffusion method was used while zones of inhibition were measured with vernier scale. RESULTS: At higher concentration, all the honey brands showed good to significant activity. The highest activity was observed for Hamdard brand honey(27.60±0.40) against Enterococcus faecalis. CONCLUSION: These results revealed that combinations of plant extracts of Herba Ocimi Basilici with honey can be used for the development of potent and novel antibacterial agents. | Ali Talha Khalil Imran Khan Kafeel Ahmad Yusra Ali Khan Momin Khan Muhammad Jaseem Khan | 2013 | Journal of Traditional Chinese Medicine2013，33，6： | 4 |
| 2 | Antibacterial activity of honey in north-west Pakistan against select human pathogens显示文摘OBJECTIVE:To investigate the antimicrobial activity of commercially available honey and raw honey samples in Khyber Pakhtunkhwa,Pakistan,against pathogenic bacterial strains.METHODS:Well diffusion assays were performed to screen pure and diluted honey samples for antibacterial activity against six Gram-negative and six Gram-positive bacterial strains.Zones of inhibition were measured and compared with 10 mg Gentamycin.RESULTS:When honey samples were diluted to20%-70%,the honey samples showed no activity to mild antibacterial activity.The highest antibacterial activity was recorded when 90%and pure undiluted honey samples were tested and compared with a control Gentamycin disc(10 mg).CONCLUSION:Commercially processed honey and raw honey samples from north-west of Pakistan possess good antimicrobial potential. | Ali Talha Khalil Imran Khan Yusra Ali Khan Zabta Khan Shinwari Kafeel Ahmad Jangrez Khan | 2014 | Journal of Traditional Chinese Medicine2014，34，1： | 2 |
| 3 | Salinity Stress in Wheat:Effects,Mechanisms and Management Strategies显示文摘Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic activities.Wheat is a staple food and a source of carbohydrates and calories for the majority of people across the globe.However,wheat productivity is adversely affected by salt stress,which is associated with a reduction in germination,growth,altered reproductive behavior and enzymatic activity,disrupted photosynthesis,hormonal imbalance,oxidative stress,and yield reductions.Thus,a better understanding of wheat(plant)behavior to salinity stress has essential implications to devise counter and alleviation measures to cope with salt stress.Different approaches including the selection of suitable cultivars,conventional breeding,and molecular techniques can be used for facing salt stress tolerance.However,these techniques are tedious,costly,and labor-intensive.Management practices are still helpful to improve the wheat performance under salinity stress.Use of arbuscular mycorrhizal fungi,plant growth-promoting rhizobacteria,and exogenous application of phytohormones,seed priming,and nutrient management are important tools to improve wheat performance under salinity stress.In this paper,we discussed the effect of salinity stress on the wheat crop,possible mechanisms to deal with salinity stress,and management options to improve wheat performance under salinity conditions. | Mahmoud F.Seleiman Muhammad Talha Aslam Bushra Ahmed Alhammad MuhammadUmair Hassan Rizwan Maqbool Muhammad Umer Chattha Imran Khan Harun Ireri Gitari Omer S.Uslu Rana Roy Martin Leonardo Battaglia | 2022 | Phyton-International Journal of Experimental Botany2022，91，4： | 1 |
| 4 | DeepSVDNet:A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images显示文摘Artificial Intelligence(AI)is being increasingly used for diagnosing Vision-Threatening Diabetic Retinopathy(VTDR),which is a leading cause of visual impairment and blindness worldwide.However,previous automated VTDR detection methods have mainly relied on manual feature extraction and classification,leading to errors.This paper proposes a novel VTDR detection and classification model that combines different models through majority voting.Our proposed methodology involves preprocessing,data augmentation,feature extraction,and classification stages.We use a hybrid convolutional neural network-singular value decomposition(CNN-SVD)model for feature extraction and selection and an improved SVM-RBF with a Decision Tree(DT)and K-Nearest Neighbor(KNN)for classification.We tested our model on the IDRiD dataset and achieved an accuracy of 98.06%,a sensitivity of 83.67%,and a specificity of 100%for DR detection and evaluation tests,respectively.Our proposed approach outperforms baseline techniques and provides a more robust and accurate method for VTDR detection. | Anas Bilal Azhar Imran Talha Imtiaz Baig Xiaowen Liu Haixia Long Abdulkareem Alzahrani Muhammad Shafiq | 2024 | Computer Systems Science & Engineering2024，48，2： | 0 |
| 5 | Evaluation of antileishmanial,antibacterial and brine shrimp cytotoxic potential of crude methanolic extract of Herb Ocimum basilicum(Lamiacea)显示文摘OBJECTIVE:To collect and screen for ethnopharmacological properties(antileishmanial,antibacterial and brine lethality assays) of medicinal plant Ocimum basilicum from Peshawar region(34.008 latitude and 71.57 altitudes).METHODS:In the present study a general antileishmanial activity against Leishmania tropica strain was carried out.The antibacterial potential of the plant was performed against 06 gram positive and 06 gram negative bacteria.Brine shrimp cytotoxicity assay at different concentrations were investigated.RESULTS:The anti-promastigotes profile of the plant showed good antileishmanial activity exhibited LC_(50) value 21.67 μg/mL.The result for gram positive antibacterial activity revealed that the O.basilicum leaves extract possesses significant inhibitory activity at highest two concentrations ranging from20.66 ± 0.31 to 31.86 ± 0.80 for Clostridium perfringens type C and Bacillus subtitilis,respectively,as compared to the gentamycin(27.36 ± 0.55 and21.80 ± 0.72,respectively).For gram negative bacteria good activity was observed.A highest zone of inhibition was recorded for Pseudomonas aeroginosa(28.83 ± 0.28) atthe highest concentration(10 mg/mL).The LC_(50) value obtained for brine shrimp lethality assay was 91.56 μg/mL.CONCLUSION:The herb basil possesses effective cidal activities which make this plant a good candidate for the isolation of antiprotozoal and antibacterial compounds which may lead to the development of novel drug. | Imran Khan Kafeel Ahmad Ali Talha Khalil Jangrez Khan Yusra Ali Khan Muhammad Shahab Saqib Muhammad Naveed Umar Hilal Ahmad | 2015 | Journal of Traditional Chinese Medicine2015，35，3： | 0 |
| 6 | Recent Developments to Mitigate Selenium Deficiency in Agricultural Eco-Systems显示文摘Under changing climate,trace elements like selenium(Se)have emerged as vital constituent of agro-ecosystems enabling crop plants to off-set the adverse effects of suboptimal growth conditions.The available form of selenium is important for boosting its bioavailability to crop plants having varied agro-botanical traits and root architectural systems.As compared to selenite,the selenate has a weaker soil bonding,higher absorption in the soil solution which results in a comparatively absorption by plant roots.Various factors including dry climate,high pH,optimal ambient air temperature,less accumulation of water,and low concentration of organic matter in the soil tend to boost the selenate ratio in the soil.The use of selenium pelleted seeds has emerged as an interesting and viable alternative to alleviate selenium deficiency in agricultural eco-systems.Similarly,the co-inoculation of a mixture of Selenobacteria and Arbuscular mycorrhizal fungi represents an evolving promising strategy for the bio-fortification of wheat plants to produce selenium-rich flour to supplement human dietary needs.Furthermore,in-depth research is required to assure the effectiveness of biological fertilization procedures in field conditions as well as to explore and increase our understanding pertaining to the underlying main mechanisms and channels of selenium absorption in plants.The focus of this review is to synthesize the recent developments on Se dynamics in soil-plant systems and emerging promising strategies to optimize its levels for crop plants.Recent developments regarding the use of micro-organisms as a biotechnological mean to enhance plant nutrition and crop quality have been objectively elaborated.The study becomes even more pertinent for arid and semi-arid agro-ecosystems owing to the potential role of selenium in providing stress tolerance to crop plants.Moreover,this review synthesizes and summarizes the recent developments on climate change and bioavailability,and the protective role of selenium in crop plants. | Misbah Naz Rubab Shabbir Krishan KVerma Anshu Rastogi Vishnu D.Rajput Talha Javed Muhammad Ammar Raza Kainat Asif Muhammad Aamir Iqbal Muhammad Imran Mohammad Sohidul Islam Khalid Rehman Hakeem MehmetFirat Baran Ayman EL Sabagh | 2022 | Phyton-International Journal of Experimental Botany2022，91，5： | 0 |
| 7 | Malaria Blood Smear Classification Using Deep Learning and Best Features Selection显示文摘Malaria is a critical health condition that affects both sultry and frigid region worldwide,giving rise to millions of cases of disease and thousands of deaths over the years.Malaria is caused by parasites that enter the human red blood cells,grow there,and damage them over time.Therefore,it is diagnosed by a detailed examination of blood cells under the microscope.This is the most extensively used malaria diagnosis technique,but it yields limited and unreliable results due to the manual human involvement.In this work,an automated malaria blood smear classification model is proposed,which takes images of both infected and healthy cells and preprocesses themin the L^(*)a^(*)b^(*)color space by employing several contrast enhancement methods.Feature extraction is performed using two pretrained deep convolutional neural networks,DarkNet-53 and DenseNet-201.The features are subsequently agglutinated to be optimized through a nature-based feature reduction method called the whale optimization algorithm.Several classifiers are effectuated on the reduced features,and the achieved results excel in both accuracy and time compared to previously proposed methods. | Talha Imran Muhammad Attique Khan Muhammad Sharif Usman Tariq Yu-Dong Zhang Yunyoung Nam Yunja Nam Byeong-Gwon Kang | 2022 | Computers, Materials & Continua2022，，1： | 0 |
| 8 | A Particle Swarm Optimization Based Deep Learning Model for Vehicle Classification显示文摘Image classification is a core field in the research area of image proces-sing and computer vision in which vehicle classification is a critical domain.The purpose of vehicle categorization is to formulate a compact system to assist in real-world problems and applications such as security,traffic analysis,and self-driving and autonomous vehicles.The recent revolution in the field of machine learning and artificial intelligence has provided an immense amount of support for image processing related problems and has overtaken the conventional,and handcrafted means of solving image analysis problems.In this paper,a combina-tion of pre-trained CNN GoogleNet and a nature-inspired problem optimization scheme,particle swarm optimization(PSO),was employed for autonomous vehi-cle classification.The model was trained on a vehicle image dataset obtained from Kaggle that has been suitably augmented.The trained model was classified using several classifiers;however,the Cubic SVM(CSVM)classifier was found to out-perform the others in both time consumption and accuracy(94.8%).The results obtained from empirical evaluations and statistical tests reveal that the model itself has shown to outperform the other related models not only in terms of accu-racy(94.8%)but also in terms of training time(82.7 s)and speed prediction(380 obs/sec). | Adi Alhudhaif Ammar Saeed Talha Imran Muhammad Kamran Ahmed S.Alghamdi Ahmed O.Aseeri Shtwai Alsubai | 2022 | Computer Systems Science & Engineering2022，40，1： | 0 |
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