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| 1 | Lead and Cadmium Contamination of Different Roadside Soils and Plants in Peshawar City, Pakistan显示文摘Soil and plant samples were collected from roadside sites (along with primary, secondary and tertiary roads) and reference site to investigate the contamination of soils and old common plant species with lead (Pb) and cadmium (Cd) in Peshawar City, Pakistan. All the data were analyzed using ANOVA analysis that showed a significant (P ≤ 0.01) variation in Pb and Cd concentrations in the roadside soils and plants as compared to the reference site. The mean concentrations of Pb and Cd were 53.9 and 6.0 mg kg-1 in soils and 49.1 and 10.9 mg kg-1 in plants, respectively. Significant variation (P ≤ 0.01) in concentrations of Pb and Cd in soil and plant samples along with primary, secondary and tertiary roads might be due to different traffic densities. The highest value (9.4) of metal accumulation index (MAI) was observed for Eucalyptus camaldulensis. In selected plant species, the Pb and Cd accumulation was found in the order of E. camaldulensis > Ficus elastica > Dalbergia sissoo > Alstonia scholaris. The roadside soils and plants were highly contaminated with Pb and Cd as compared to the reference site. | S.KHAN M.A.KHAN S.REHMAN | 2011 | Pedosphere2011，21，3： | 6 |
| 2 | Alzheimer Disease Detection Empowered with Transfer Learning显示文摘Alzheimer’s disease is a severe neuron disease that damages brain cells which leads to permanent loss of memory also called dementia.Many people die due to this disease every year because this is not curable but early detection of this disease can help restrain the spread.Alzheimer’s ismost common in elderly people in the age bracket of 65 and above.An automated system is required for early detection of disease that can detect and classify the disease into multiple Alzheimer classes.Deep learning and machine learning techniques are used to solvemanymedical problems like this.The proposed system Alzheimer Disease detection utilizes transfer learning on Multi-class classification using brain Medical resonance imagining(MRI)working to classify the images in four stages,Mild demented(MD),Moderate demented(MOD),Non-demented(ND),Very mild demented(VMD).Simulation results have shown that the proposed systemmodel gives 91.70%accuracy.It also observed that the proposed system gives more accurate results as compared to previous approaches. | Taher M.Ghazal Sagheer Abbas Sundus Munir M.A.Khan Munir Ahmad Ghassan F.Issa Syeda Binish Zahra Muhammad Adnan Khan Mohammad Kamrul Hasan | 2022 | Computers, Materials & Continua2022，，3： | 1 |
| 3 | Oral delivery of proteins:progress and prognostication显示文摘 | R.B.Shah F.Ahsan M.A.Khan | | 0，，02： | 1 |
| 4 | High‐Performance Non‐Volatile Organic Ferroelectric Memory on Banknotes显示文摘 | M.A.Khan Unnat S.Bhansali H. N.Alshareef | 2012 | Adv. Mater2012，，16： | 1 |
| 5 | Structural and dielectric properties of doped ferrite nanomaterials suitable for microwave and biomedical applications显示文摘The sol-gel auto-combustion method was adopted to synthesize nanomaterials of single-phase X-type hexagonal ferrites with the composition of Sr_(2-x)Gd_xNi_2Fe_(28-y)Cd_yO_(46)(x=0.00,0.02,0.04,0.06,0.08,0.10 and y = 0,0.1,0.2,0.3,0.4,0.5).The structural properties were carried out by XRD analysis and the lattice parameters show variation with the doping of Gd-Cd.The average particle size measured by TEM was in the range of 8-10 nm which is beneficial in obtaining suitable signal-to-noise ratio in recording media and biomedical applications.The room temperature resistivity enhanced with the increase of the dopant concentration.The increase in resistivity indicates that the synthesized materials can be considered good for the formation of the multilayer chip inductors(MLCIs) as well as for the reduction of eddy current losses.The dielectric constant decreased with the increase in the frequency which is the general reported trend of the hexagonal ferrites and can be explained on the basis of Koop's theory and Maxwell-Wagner polarization-model.The abnormal dielectric behavior indicates the formation of small polarons in the material.The maximum value of tangent loss at low frequencies reflects the application of these materials in medium frequency devices(MF). | Imran Sadiq Shahzad Naseem Muhammad Naeem Ashiq M.A.Khan Shanawer Niaz M.U.Rana | 2015 | Progress in Natural Science:Materials International2015，25，5： | 1 |
| 6 | Effect of Plant Growth-Promoting Rhizobacteria on Growth,Nodulation and Nutrient Accumulation of Lentil Under Controlled Conditions显示文摘Application of plant growth-promoting rhizobacteria (PGPR) has been shown to increase legume growth and development under field and controlled environmental conditions. The present study was conducted to isolate plant growth-promoting rhizobacteria (PGPR) from the root nodules of lentil (Lens culinaris Medik.) grown in arid/semi-arid region of Punjab, Pakistan and examined their plant growth-promoting abilities. Five bacterial isolates were isolated, screened in vitro for plant growth-promoting (PGP) characteristics and their effects on the growth of lentil were assessed under in vitro, hydroponic and greenhouse (pot experiment) conditions. All the isolates were Gram negative, rod-shaped and circular in form and exhibited the plant growth-promoting attributes of phosphate solubilization and auxin (indole acetic acid, IAA) production. The IAA production capacity ranged in 0.5-11.0 μg mL-1 and P solubilization ranged in 3-16 mg L-1 . When tested for their effects on plant growth, the isolated strains had a stimulatory effect on growth, nodulation and nitrogen (N) and phosphorus (P) uptake in plants on nutrient-deficient soil. In the greenhouse pot experiment, application of PGPR significantly increased shoot length, fresh weight and dry weight by 65%, 43% and 63% and the increases in root length, fresh weight and dry weight were 74%, 54% and 92%, respectively, as compared with the uninoculated control. The relative increases in growth characteristics under in vitro and hydroponic conditions were even higher. PGPR also increased the number of pods per plant, 1 000-grain weight, dry matter yield and grain yield by 50%, 13%, 28% and 29%, respectively, over the control. The number of nodules and nodule dry mass increased by 170% and 136%, respectively. After inoculation with effective bacterial strains, the shoot, root and seed N and P contents increased, thereby increasing both N and P uptake in plants. The root elongation showed a positive correlation (R2 = 0.67) with the IAA production and seed yield exhibited a positive correlation (R2 = 0.82) with root nodulation. These indicated that the isolated PGPR rhizobial strains can be best utilized as potential agents or biofertilizers for stimulating the growth and nutrient accumulation of lentil. | M.ZAFAR M.K.ABBASI M.A.KHAN A.KHALIQ T.SULTAN M.ASLAM | 2012 | Pedosphere2012，22，6： | 1 |
| 7 | Robust Length of Stay Prediction Model for Indoor Patients显示文摘Due to unforeseen climate change,complicated chronic diseases,and mutation of viruses’hospital administration’s top challenge is to know about the Length of stay(LOS)of different diseased patients in the hospitals.Hospital management does not exactly know when the existing patient leaves the hospital;this information could be crucial for hospital management.It could allow them to take more patients for admission.As a result,hospitals face many problems managing available resources and new patients in getting entries for their prompt treatment.Therefore,a robust model needs to be designed to help hospital administration predict patients’LOS to resolve these issues.For this purpose,a very large-sized data(more than 2.3 million patients’data)related to New-York Hospitals patients and containing information about a wide range of diseases including Bone-Marrow,Tuberculosis,Intestinal Transplant,Mental illness,Leukaemia,Spinal cord injury,Trauma,Rehabilitation,Kidney and Alcoholic Patients,HIV Patients,Malignant Breast disorder,Asthma,Respiratory distress syndrome,etc.have been analyzed to predict the LOS.We selected six Machine learning(ML)models named:Multiple linear regression(MLR),Lasso regression(LR),Ridge regression(RR),Decision tree regression(DTR),Extreme gradient boosting regression(XGBR),and Random Forest regression(RFR).The selected models’predictive performance was checked using R square andMean square error(MSE)as the performance evaluation criteria.Our results revealed the superior predictive performance of the RFRmodel,both in terms of RS score(92%)and MSE score(5),among all selected models.By Exploratory data analysis(EDA),we conclude that maximumstay was between 0 to 5 days with the meantime of each patient 5.3 days and more than 50 years old patients spent more days in the hospital.Based on the average LOS,results revealed that the patients with diagnoses related to birth complications spent more days in the hospital than other diseases.This finding could help predict the future length of hospital stay of new patients,which will help the hospital administration estimate and manage their resources efficiently. | Ayesha Siddiqa Syed Abbas Zilqurnain Naqvi Muhammad Ahsan Allah Ditta Hani Alquhayz M.A.Khan Muhammad Adnan Khan | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 8 | 大麦双列杂交种的性状表现及其产量和麦芽品质的配合力显示文摘 | E.A.Hockett A.F.Cook M.A.khan I.M.mastin B.L.Jones 赵素珍 韩海 | 1995 | 大麦科学1995，，1： | 0 |
| 9 | Linearly Polarized Millimeter Wave Reflectarray with Mutual Coupling Optimization显示文摘This work provides the design and analysis of a single layer,linearly polarized millimeter wave reflectarray antenna with mutual coupling optimization.Detailed analysis was carried out at 26GHz design frequency using the simulations of the reflectarray unit cells as well as the periodic reflectarray antenna.The simulated results were verified by the scattering parameter and far-fieldmeasurements of the unit cell and periodic arrays,respectively.Aclose agreement between the simulated and measured results was observed in all the cases.Apart from the unit cells and reflectarray,the waveguide and horn antenna were also fabricated to be used in the measurements.The measured scattering parameter results of the proposed circular ring unit cells provided a maximum reflection loss of 2.8 dB with phase errors below 10°.On the other hand,the measured far-field results of the 20×20 reflectarray antenna provided a maximum gain of 26.45 dB with a maximum 3 dB beam width of 12°and 1 dB gain drop bandwidth of 13.1%.The performance demonstrated by the proposed reflectarray antenna makes it a potential candidate to be used in modern-day applications such as 5th Generation(5G)and 6th Generation(6G)communication systems. | M.Inam M.H.Dahri M.R.Kamarudin A.Y.I.Ashyap M.H.Jamaluddin N.H.Sulaiman M.A.Khan Z.A.Shamsan K.Almuhanna F.Alorifi | 2022 | Computers, Materials & Continua2022，，8： | 0 |
| 10 | Explainable Artificial Intelligence Solution for Online Retail显示文摘Artificial intelligence(AI)and machine learning(ML)help in making predictions and businesses to make key decisions that are beneficial for them.In the case of the online shopping business,it’s very important to find trends in the data and get knowledge of features that helps drive the success of the business.In this research,a dataset of 12,330 records of customers has been analyzedwho visited an online shoppingwebsite over a period of one year.The main objective of this research is to find features that are relevant in terms of correctly predicting the purchasing decisions made by visiting customers and build ML models which could make correct predictions on unseen data in the future.The permutation feature importance approach has been used to get the importance of features according to the output variable(Revenue).Five ML models i.e.,decision tree(DT),random forest(RF),extra tree(ET)classifier,Neural networks(NN),and Logistic regression(LR)have been used to make predictions on the unseen data in the future.The performance of each model has been discussed in detail using performance measurement techniques such as accuracy score,precision,recall,F1 score,and ROC-AUC curve.RF model is the bestmodel among all five chosen based on accuracy score of 90%and F1 score of 79%followed by extra tree classifier.Hence,our study indicates that RF model can be used by online retailing businesses for predicting consumer buying behaviour.Our research also reveals the importance of page value as a key feature for capturing online purchasing trends.This may give a clue to future businesses who can focus on this specific feature and can find key factors behind page value success which in turn will help the online shopping business. | Kumail Javaid Ayesha Siddiqa Syed Abbas Zilqurnain Naqvi Allah Ditta Muhammad Ahsan M.A.Khan Tariq Mahmood Muhammad Adnan Khan | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 11 | 农林兼作体系的预计效益成本分析:柳树与蔬菜作物间混种植模式(英文)显示文摘2005.2006年间,在印度喀什米尔地区的克什米尔农业科学大学的试验地对农林兼作体系进行研究,柳树与农作物的间混种植包括柳树,羽衣甘蓝(Brassica oleracea Var.acephala)和球茎甘蓝(Brassica oleracea var.caularapa)。试验地分成几个小区,每个小区(8m×2m)种植4棵两年生的柳树,间距为2m×2m。采用被推荐的间混种植的植株间距和施用的肥料浓度。结果表明:羽衣甘蓝和球茎甘蓝与柳树间混种植得出这种的种植模式的预计效益成本率分别为2.78和2.79,单独的柳树种植效益率为2.66。本研究表明,可以促进蔬菜作物与柳树间混种植模式从而代替单独的柳树种植模式。图1表7参27。 | Aijaz Hussain Mir M.A.Khan | 2008 | Journal of Forestry Research2008，19，4： | 0 |
| 12 | Kachchh (India) earthquake 2001——causes,severity and impact on groundwater resources显示文摘Earthquake 2001 in Bhuj region of Kachchh district of Gujarat(India) was one of the most devastating earthquakes in the Indian history. This earthquake has caused severe damage to human life and properties. The impact of earthquake on groundwater resources at many locations was significant. Steep rise in static water level due to earthquake was observed at Bhachau and Chandarani. At other location groundwater followed the declining trend. | M.A.Khan M.L.Sharma | 2003 | Journal of Environmental Sciences2003，15，4： | 0 |
| 13 | Enhanced room temperature ferromagnetism in Cr-doped ZnO nanoparticles prepared by auto-combustion method显示文摘Zn_(1-x)Cr_xO(x=0.00,0.01,0.03,0.05,0.07,and 0.09)nanoparticles were synthesized,by an auto-combustion method.Structural,optical,and magnetic characteristics of Cr-doped Zn O samples calcined at 600°C have been analyzed by using X-ray diffraction(XRD),field emission scanning electron microscope(FESEM),UV–Vis spectroscopy and vibrating sample magnetometer(VSM).The XRD data confirmed the hexagonal wurtzite structure of pure and Cr-doped Zn O nanoparticles.The calculated values of grain size using Scherrer's formula are in the range of 30.7–9.2 nm.The morphology of nanopowders has been observed by FESEM,and EDS results confirmed a systematic increase of Cr content in the samples and clearly indicate with no impurity element.The band gaps,computed by UV–Vis spectroscopy,are in the range of 2.83–2.35 e V for different doping concentrations.By analyzing VSM data,significantly enhanced room temperature ferromagnetism is identified in Cr-doped Zn O samples.The value of magnetization is a 12 times increased of the value reported by Daun et al.(2010).Room temperature ferromagnetism of the nanoparticles is of vital prominence for spintronics applications. | Khizar-ul Haq M.Irfan Muhammad Masood Murtaza Saleem Tahir Iqbal Ishaq Ahmad M.A.Khan M.Zaffar Muhammad Irfan | 2018 | Journal of Semiconductors2018，39，4： | 0 |
| 14 | Copper Ion Beam Irradiation-Induced Effects on Structural,Morphological and Optical Properties of Tin Dioxide Nanowires显示文摘The 0.8 MeV copper(Cu) ion beam irradiation-induced effects on structural,morphological and optical properties of tin dioxide nanowires(SnO_2 NWs) are investigated.The samples are irradiated at three different doses5 × 10^(12) ions/cm^2,1 × 10^(13) ions/cm^2 and 5 × 10^(13) ions/cm^2 at room temperature.The XRD analysis shows that the tetragonal phase of SnO_2 NWs remains stable after Cu ion irradiation,but with increasing irradiation dose level the crystal size increases due to ion beam induced coalescence of NWs.The FTIR spectra of pristine SnO_2NWs exhibit the chemical composition of SnO_2 while the Cu-O bond is also observed in the FTIR spectra after Cu ion beam irradiation.The presence of Cu impurity in SnO_2 is further confirmed by calculating the stopping range of Cu ions by using TRM/SRIM code.Optical properties of SnO_2 NWs are studied before and after Cu ion irradiation.Band gap analysis reveals that the band gap of irradiated samples is found to decrease compared with the pristine sample.Therefore,ion beam irradiation is a promising technology for nanoengineering and band gap tailoring. | M.A.Khan A.Qayyum I.Ahmed T.Iqbal A.A.Khan R.Waleed B.Mohuddin M.Malik | 2016 | Chinese Physics Letters2016，33，7： | 0 |
| 15 | Intensity of parasitic infestation in silver carp,Hypophthalmichthys molitrix显示文摘Silver carp,Hypopthalmichthys molitrix is one of the most economically valuable fish species in Bangladesh.However,its production is often hindered by parasite-induced mortality.The present study reports the intensity of parasitic infestation in 216 specimens of H.molitrix collected from different fish markets in Rajshahi City,Bangladesh.Nine different parasite species (Trichodina pediculatus,Dactylogyrus vastator,Ichthyophthirius multifilis,Gyrodactylus elegans,Lernaea sp.,Apiosoma sp.,Myxobolus rohitae,Camallanus ophiocephali,and Pallisentis ophiocephali) were recovered from the gill,skin,stomach,and intestine of host fish.The highest level of infection was observed for host skin,while lower levels were observed for host gill,stomach,and intestine.The results also revealed that the intensity of parasite infection in different organs of H.molitrix varied with the season.In particular,the highest levels of infection were recorded during the winter period (November-February),when fish are most susceptible to parasites.The findings of the study will help in the management and conservation of H.molitrix. | M.M.ALAM M.A.KHAN M.A.HUSSAIN D.MOUMITA A.G.MAZLAN K.D.SIMON | 2012 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2012，13，12： | 0 |
| 16 | Interferences in photo-detached electron spectra from a non-collinear tri-atomic anion显示文摘The electron flux oscillations in photo-detachment of a non-collinear tri-atomic anion have been studied by taking each atom of the system as a coherent source of detached-electron wave. These electron waves traversing along three different trajectories result in a quantum interference. An analytical expression of detached-electron flux is evaluated for various detached-electron energies and for different geometrical shapes of the system. The results show that the electron flux distributions exhibit molecular shape-induced oscillatory structures. These oscillations are explained using the semiclassical closed-orbit theory; the outgoing electron waves produced from one center are propagated in the vicinity of the sources at other centers. It is also observed that in a particular case our non-collinear tri-atomic system reduces to the collinear tri-atomic system recently published. | A.Afaq K.Farooq M.A.Khan 衣学喜 | 2014 | Chinese Physics B2014，23，10： | 0 |
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