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| 1 | 小肽对泌乳中后期奶牛生产性能的影响显示文摘为了研究小肽对泌乳中后期奶牛生产性能的影响,试验选择年龄、体况、胎次、产奶量、泌乳天数和配种后天数相近的中国荷斯坦奶牛30头,随机分为对照组和试验组,每组15头,对照组饲喂常规全混合日粮(TMR),试验组在对照组基础上每头添加100g/d的小肽,试验期为56d。结果表明:在泌乳中后期奶牛基础日粮中添加小肽可以使乳体细胞数较试验前下降1.75万个/mL,下降幅度为7.03%,有效控制乳房炎的发生;日均产奶量较对照组提高0.72kg/头;乳成分中的乳蛋白率、乳糖率、总固形物较对照组提高,其中乳糖率极显著提高(P<0.01)。说明在日粮中添加小肽可以有效提高泌乳中后期奶牛的产奶量,改善乳成分,提高免疫力和健康水平。 | 刘双 何生虎 郭亚男 徐靖祎 Atif Rehman 陈生明 张韬 | 2019 | 黑龙江畜牧兽医2019，0，14： | 5 |
| 2 | Heat stress-induced alterations of antioxidants in the freshwater fish Channa punctata Bloch 显示文摘 | Kaur M Atif F Ali M Rehman H Raisuddin S | 2005 | Journal of Fish Biology2005，67，： | 1 |
| 3 | Syntheses,Spectral Studies and Bioanalyses of Some Triorganotin(IV) Complexes of Cephlaxine显示文摘Five novel triorganotin(IV) complexes have been synthesized by refluxing tri-methyl, triethyl, tributyl, triphenyl and tribenzyltin chloride with Cephlaxine. These compounds were characterized by spectroscopic (IR, 1H, 13C, 119Sn NMR) techniques and elemental analysis. The results obtained through these techniques are in full agreement with the proposed 1:1 stoichiometry. The synthesized compounds were than tested against various microorganisms and fungi. The results of new products obtained showed that the triphenyltin(IV) complex displayed promising activity against all types of bacteria and fungi used while all other compounds showed significant antibacterial and antifungal activity. | Wajid Rehman Bakhtiar Muhammad Farman Ali Sardar Atif | 2008 | Chinese Journal of Structural Chemistry2008，27，7： | 1 |
| 4 | Foliar Application of Phosphorus Enhances Photosynthesis and Biochemical Characteristics of Maize under Drought Stress显示文摘Water is essential for the growth period of crops;however,water unavailability badly affects the growth and physiological attributes of crops,which considerably reduced the yield and yield components in crops.Therefore,a pot experiment was conducted to investigate the effect of foliar phosphorus(P)on morphological,gas exchange,biochemical traits,and phosphorus use efficiency(PUE)of maize(Zea mays L.)hybrids grown under normal as well as water deficit situations at the Department of Agronomy,University of Agriculture Faisalabad,Pakistan in 2014.Two different treatments(control and P@8 kg ha^(−1))and four hybrids(Hycorn,31P41,65625,and 32B33)of maize were tested by using a randomized complete block design(RCBD)with three replications.Results showed that the water stress caused a remarkable decline in total soluble protein(9.7%),photosynthetic rate(9.4%)and transpiration rate(13.4%),stomatal conductance(10.2%),and internal CO_(2)rate(20.4%)comparative to well-watered control.An increase of 37.1%,36.8%,and 24.5%were recorded for proline,total soluble sugar,and total free amino acid,respectively.However,foliar P application minimized the negative impact of drought by improving plant growth,physio-biochemical attributes,and PUE in maize plants under water stress conditions.Among the hybrids tested,the hybrid 6525 performed better both under stress and non-stress conditions.These outcomes confirmed that the exogenous application of P improved drought stress tolerance by modulating growth,physio-biochemical attributes,and PUE of maize hybrids. | Zahoor Ahmad Ejaz Ahmad Waraich Muhammad Zia ur Rehman Muhammad Ashar Ayub Muhammad Usman Hesham Alharby Atif Bamagoos Celaleddin Barutçular Muhammad Ali Raza FatihÇiğ Ayman El Sabagh | 2021 | Phyton-International Journal of Experimental Botany2021，90，2： | 1 |
| 5 | Synthesis,Characterization,Biological and Docking Simulations of 4-(Benzylideneamino) Benzoic Acids显示文摘The present research paper presents the synthesis, characterization, biological and computational studies of 4-(benzylideneamino) benzoic acid derivatives(3a~3g). Derivatives 3a~3c displayed best antidiabetic potential with a glucose-lowering effect compared to the reference drug Glibenclamide. Biochemical parameters including plasma glucose, serum triglycerides, cholesterol, alanine amino transferase and aspartate amino transferase levels showed significant alterations in concentrations relative to the control. Similarly, the derivatives 3a, 3d and 3e displayed potent in vitro antibacterial potential. Molecular docking simulations delineated that the ligands and complexes were stabilized at the active site by electrostatic and hydrophobic forces, consistent with the corresponding experimental results. In silico study of the binding pattern predicted that the synthesized ligands, 3d and 3a could serve as a potential surrogate for hit-to-lead generation and the design of novel antibacterial drugs. | HAMID Aziz AAMER Saeed FARUKH Jabeen ABDUL Basit IRFAN Zia Qureshi ABDUL Aziz ATIF Haroon ASHFAQ Ur Rehman | 2021 | Chinese Journal of Structural Chemistry2021，40，3： | 0 |
| 6 | Investigation of functional,physical,mechanical and thermal properties of TiO_2 embedded polyester hybrid composites:A design of experiment(DoE)study显示文摘This paper presents a study on the Design of Experiments(Do E) approach to optimize the fabrication parameters of titania(TiO_2) embedded glass fiber reinforced polyester hybrid composites(HCs). HCs of unsaturated polyester resin(UPR) were fabricated using methyl ethyl ketone peroxide(MEKP) as the curing agent by hand lay-up process(HLUP) and compression molding technique(CMT). The fabrication parameters were optimized by Taguchi Do E(an orthogonal array of L25) using 3 control factors(concentration of TiO_2, concentration of MEKP and curing temperature) having 5 levels each. Statistical tools were employed to identify significant factors affecting tensile strengths and its reproducibility during HLUP. It was found that the concentration of TiO_2 in HCs significantly influenced the tensile strength(TS) followed by MEKP concentration and curing temperature. The highest value of TS was obtained at 3 wt% TiO_2, 2 wt% MEKP and 80 °C. Nevertheless, the sensitivity of TiO_2 concentration was basis for fabrication of polyester titania glass fiber hybrids(PTGFHs), which were further investigated for density and void fractions, linear shrinkage, flexural strength, impact strength, hardness and thermal behaviors. Moreover, cross-linking and hydrogen-bonding between polymeric chains, styrene, silica content of glass fiber and TiO_2 particles in PTGFHs were confirmed by Fourier transform infrared spectroscopy. | Muhammad Azeem Munawar Dirk Wolfram Schubert Shahzad Maqsood Khan Muhammad Atiq Ur Rehman Nafisa Gulld Atif Islam Aneela Sabir Muhammad Shafiq Bilal Haider Mudassar Azam Saba Urooge Khan Monika M.Voigt | 2018 | Progress in Natural Science:Materials International2018，28，3： | 0 |
| 7 | First-principles calculation of the structural,electronic,and magnetic properties of cubic perovskite RbXF3(X = Mn,V,Co,Fe)显示文摘First-principles calculations by means of the full-potential linearized augmented plane wave method using the generalized gradient approximation with correlation effect correction(GGA+U) within the framework of spin polarized density functional theory(DFT+U) are used to study the structural,electronic,and magnetic properties of cubic perovskite compounds RbXF_3(X = Mn,V,Co,and Fe).It is found that the calculated structural parameters,i.e.,lattice constant,bulk modulus,and its pressure derivative are in good agreement with the previous results.Our results reveal that the strong spin polarization of the 3d states of the X atoms is the origin of ferromagnetism in RbXF_3.Cohesive energies and the magnetic moments of RbXF_3 have also been calculated.The calculated electronic properties show the half-metallic nature of RbCoF_3 and RbFeF_3,making these materials suitable for spintronic applications. | Muhammad Raza ur rehman Hashmi Muhammad Zafar M Shakil Atif Sattar Shabbir Ahmed S A Ahmad | 2016 | Chinese Physics B2016，25，11： | 0 |
| 8 | Improving resource-constrained IoT device lifetimes by mitigating redundant transmissions across heterogeneous wireless multimedia of things显示文摘In Wireless Multimedia Sensor Networks(WMSNs),nodes capable of retrieving video,audio,images,and small scale sensor data,tend to generate immense traffic of various types.The energy-efficient transmission of such a vast amount of heterogeneous multimedia content while simultaneously ensuring the quality of service and optimal energy consumption is indispensable.Therefore,we propose a Power-Efficient Wireless Multimedia of Things(PE-WMoT),a robust and energy-efficient cluster-based mechanism to improve the overall lifetime of WMSNs.In a PE-WMoT,nodes declare themselves Cluster Heads(CHs)based on available resources.Once cluster formation and CH declaration processes are completed,the Sub-Cluster(SC)formation process triggers,in which application base nodes within close vicinity of each other organize themselves under the administration of a Sub-Cluster Head(SCH).The SCH gathers data from member nodes,removes redundancies,and forwards miniaturized data to its respective CH.PE-WMoT adopts a fuzzy-based technique named the analytical hierarchical process,which enables CHs to select an optimal SCH among available SCs.A PE-WMoT also devises a robust scheduling mechanism between CH,SCH,and child nodes to enable collision-free data transmission.Simulation results revealed that a PE-WMoT significantly reduces the number of redundant packet transmissions,improves energy consumption of the network,and effectively increases network throughput. | Muhammad Salah ud din Muhammad Atif Ur Rehman Rehmat Ullah Chan-Won Park Dae Ho Kim Byung-seo Kim | 2022 | Digital Communications and Networks2022，8，5： | 0 |
| 9 | Deep Trajectory Classification Model for Congestion Detection in Human Crowds显示文摘In high-density gatherings,crowd disasters frequently occur despite all the safety measures.Timely detection of congestion in human crowds using automated analysis of video footage can prevent crowd disasters.Recent work on the prevention of crowd disasters has been based on manual analysis of video footage.Some methods also measure crowd congestion by estimating crowd density.However,crowd density alone cannot provide reliable information about congestion.This paper proposes a deep learning framework for automated crowd congestion detection that leverages pedestrian trajectories.The proposed framework divided the input video into several temporal segments.We then extracted dense trajectories from each temporal segment and converted these into a spatio-temporal image without losing information.A classification model based on convolutional neural networks was then trained using spatio-temporal images.Next,we generated a score map by encoding each point trajectory with its respective class score.After this,we obtained the congested regions by employing the non-maximum suppression method on the score map.Finally,we demonstrated the proposed framework’s effectiveness by performing a series of experiments on challenging video sequences. | Emad Felemban Sultan Daud Khan Atif Naseer Faizan Ur Rehman Saleh Basalamah | 2021 | Computers, Materials & Continua2021，，7： | 0 |
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