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| 1 | LHR、PRLR基因在不同发育阶段牦牛睾丸中的表达与定位显示文摘促黄体素受体(luteinizing hormone receptor, LHR)和催乳素受体(prolactin receptor, PRLR)基因在哺乳动物生殖发育中扮演着重要角色,广泛存在于各种组织。为分析不同年龄牦牛(Bos grunniens)睾丸组织中LHR、PRLR基因表达的变化模式,并探究其在成年期牦牛不同器官中的表达差异,分别采集幼年期(6月龄)、初情期(24月龄)、性成熟期(36月龄)、成年期(72月龄)牦牛睾丸组织和72月龄公牦牛的肾脏、肝脏、肺脏、心脏、脾脏、骨骼肌等器官组织。采用qRT-PCR技术检测不同发育时期牦牛睾丸组织和成年牦牛不同器官组织中LHR、PRLR mRNA表达水平,并采用免疫组织化学技术研究不同发育期牦牛睾丸组织的LHR、PRLR蛋白表达定位。结果显示,LHR、PRLR基因在牦牛睾丸组织中的表达量从幼年期到性成熟期极显著增加(P<0.01),成年期与性成熟期差异不显著。成年牦牛不同器官组织LHR基因在睾丸组织中的表达水平高于在肾脏、骨骼肌和肺脏组织中的表达水平(P<0.05),PRLR基因在肾脏的表达量最高,其次为骨骼肌、睾丸和脾脏(P<0.05)。LHR、PRLR免疫阳性标记定位于睾丸支持细胞、间质细胞、初级精母细胞和次级精母细胞,其在细胞中的阳性信号从幼年期到性成熟期逐渐增强,成年期趋于稳定,蛋白表达趋势与mRNA基本相符。说明睾丸组织中LHR、PRLR可能在精子成熟过程中发挥作用并参与间质细胞的生物学功能,LHR还可能参与调节其他非性腺组织的发育。上述研究结果为揭示牦牛睾丸发育与生殖调控的分子机制提供重要理论依据。 | 马富龙 褚敏 常永芳 包鹏甲 郭宪 Qudratullah Kalwar 马启财 潘和平 阎萍 | 2020 | 农业生物技术学报2020，28，4： | 5 |
| 2 | Circulation of particles in two-dimensional spouted beds with draft plates 显示文摘 | Kalwar M I Raghavan G S V Mujumdar A S | 1993 | Powder Technology1993，77，11： | 1 |
| 3 | Synthesis of 1 - methionine stabilized nickel nanowires and their application for catalytic oxidative transfer hydrogenation of isopropanol 显示文摘 | Kalwar Nazar Hussain Sirajuddin Sherazi Syed Tufail H | 2011 | Applied Catalysis A : General2011，400，12： | 1 |
| 4 | Conceptual Framework for Assessing Human Anxiety on the Internet 显示文摘 | Santosh Kumar Kalwar Kari Heikkinen Jari Porras | 2012 | Procedia- Social and Behavioral Sciences2012，，46： | 1 |
| 5 | Multiplexed fluorescent bead-based immunoassys for quantitation of human cytokines in serum and culture supernatants显示文摘 | KELLAR K L KALWAR R R DUBOIS K A | 2001 | Cytometry2001，45，1： | 1 |
| 6 | Synthesis of air stable copper nanoparticles and their use in catalysis显示文摘 | SOOMRO R A SHERAZI S T H SIRAJUDDINl MEMON N SHAH M R KALWAR N H HALLAM K R SHAH A | 2014 | Advanced Material Letters2014，5，： | 1 |
| 7 | A Novel Method Based on UNET for Bearing Fault Diagnosis显示文摘Reliability of rotating machines is highly dependent on the smooth rolling of bearings.Thus,it is very essential for reliable operation of rotating machines to monitor the working condition of bearings using suitable fault diagnosis and condition monitoring approach.In the recent past,Deep Learning(DL)has become applicable in condition monitoring of rotating machines owing to its performance.This paper proposes a novel bearing fault diagnosis method based on the processing and analysis of the vibration images.The proposed method is the UNET model that is a recent development in DL models.The model is applied to the 2D vibration images obtained by transforming normalized amplitudes of the time-series vibration data samples into the corresponding vibration images.The UNET model performs pixel-level feature learning using the vibration images owing to its unique architecture.The results demonstrate that the model can perform dense predictions without any loss of label information,generally caused by the sliding window labelling method.The comparative analysis with other DL models confirmed the superiority of the UNET model which has achieved maximum accuracy of 98.91%and F1-Score of 99%. | Dileep Kumar Soother Imtiaz Hussain Kalwar Tanweer Hussain Bhawani Shankar Chowdhry Sanaullah Mehran Ujjan Tayab Din Memon | 2021 | Computers, Materials & Continua2021，，10： | 1 |
| 8 | Embedded System Development for Detection of Railway Track Surface Deformation Using Contour Feature Algorithm显示文摘Derailment of trains is not unusual all around the world,especially in developing countries,due to unidentified track or rolling stock faults that cause massive casualties each year.For this purpose,a proper condition monitoring system is essential to avoid accidents and heavy losses.Generally,the detection and classification of railway track surface faults in real-time requires massive computational processing and memory resources and is prone to a noisy environment.Therefore,in this paper,we present the development of a novel embedded system prototype for condition monitoring of railway track.The proposed prototype system works in real-time by acquiring railway track surface images and performing two tasks a)detect deformation(i.e.,faults)like squats,shelling,and spalling using the contour feature algorithm and b)the vibration signature on that faulty spot by synchronizing acceleration and image data.A new illumination scheme is also proposed to avoid the sunlight reflection that badly affects the image acquisition process.The contour detection algorithm is applied here to detect the uneven shapes and discontinuities in the geometrical structure of the railway track surface,which ultimately detects unhealthy regions.It works by converting Red,Green,and Blue(RGB)images into binary images,which distinguishes the unhealthy regions by making them white color while the healthy regions in black color.We have used the multiprocessing technique to overcome the massive processing and memory issues.This embedded system is developed on Raspberry Pi by interfacing a vision camera,an accelerometer,a proximity sensor,and a Global Positioning System(GPS)sensors(i.e.,multi-sensors).The developed embedded system prototype is tested in real-time onsite by installing it on a Railway Inspection Trolley(RIT),which runs at an average speed of 15 km/h.The functional verification of the proposed system is done successfully by detecting and recording the various railway track surface faults.An unhealthy frame’s onsite detection processing time was recorded at approximately 25.6ms.The proposed system can synchronize the acceleration data on specific railway track deformation.The proposed novel embedded system may be beneficial for detecting faults to overcome the conventional manual railway track condition monitoring,which is still being practiced in various developing or underdeveloped countries. | Tarique Rafique Memon Tayab Din Memon Imtiaz Hussain Kalwar Bhawani Shankar Chowdhry | 2023 | Computers, Materials & Continua2023，，5： | 1 |
| 9 | Inductively coupled power transfer (lCPT) for electric vehicle charging-A review显示文摘 | Kalwar K A Aamir M Mekhilef S | 2015 | Renewable and Sustainable Energy Reviews2015，47，2015： | 1 |
| 10 | Spouting of two-dimensional beds with draft plates显示文摘 | Kalwar M I Raghavan G S V Mujumdar A S | 1992 | Can J Chem Eng1992，70，： | 1 |
| 11 | l -cysteine protected copper nanoparticles as colorimetric sensor for mercuric ions显示文摘 | Razium A. Soomro Ayman Nafady Sirajuddin Najma Memon Tufail H. Sherazi Nazar H. Kalwar | 2014 | Talanta2014，，： | 1 |
| 12 | Circulation of particles in two-dimensional spouted bed with draft plates显示文摘 | Kalwar M I Raghavan G S V Mujumdar A S | 1993 | Powder Teehnol1993，77，： | 1 |
| 13 | Batch drying of shelled corn in two-dimensional spouted beds with draft plates显示文摘 | Kalwar M I Raghavan G S V | 1993 | Drying Technol1993，11，： | 1 |
| 14 | Synthesis of l -methionine stabilized nickel nanowires and their application for catalytic oxidative transfer hydrogenation of isopropanol显示文摘 | Nazar Hussain Kalwar Sirajuddin Syed Tufail H. Sherazi Muhammad Ishaq Abro Zulfiqar Ali Tagar Syeda Sara Hassan Yasmin Junejo Manzoor Iqbal Khattak | 2011 | Applied Catalysis A, General2011，，1： | 1 |
| 15 | Inductively coupled power transfer (ICPT) for electric vehicle charging a review显示文摘 | KALWAR K A AAMIR M MEKHILEF S | 2015 | Renewable and Sustainable Energy Reviews2015，47，46： | 1 |
| 16 | FPGA Implementation of Extended Kalman Filter for Parameters Estimation of Railway Wheelset显示文摘It is necessary to know the status of adhesion conditions between wheel and rail for efficient accelerating and decelerating of railroad vehicle.The proper estimation of adhesion conditions and their real-time implementation is considered a challenge for scholars.In this paper,the development of simulation model of extended Kalman filter(EKF)in MATLAB/Simulink is presented to estimate various railway wheelset parameters in different contact conditions of track.Due to concurrent in nature,the Xilinx®System-on-Chip Zynq Field Programmable Gate Array(FPGA)device is chosen to check the onboard estimation ofwheel-rail interaction parameters by using the National Instruments(NI)myRIO®development board.The NImyRIO®development board is flexible to deal with nonlinearities,uncertain changes,and fastchanging dynamics in real-time occurring in wheel-rail contact conditions during vehicle operation.The simulated dataset of the railway nonlinear wheelsetmodel is tested on FPGA-based EKF with different track conditions and with accelerating and decelerating operations of the vehicle.The proposed model-based estimation of railway wheelset parameters is synthesized on FPGA and its simulation is carried out for functional verification on FPGA.The obtained simulation results are aligned with the simulation results obtained through MATLAB.To the best of our knowledge,this is the first time study that presents the implementation of a model-based estimation of railway wheelset parameters on FPGA and its functional verification.The functional behavior of the FPGA-based estimator shows that these results are the addition of current knowledge in the field of the railway. | Khakoo Mal Tayab Din Memon Imtiaz Hussain Kalwar Bhawani Shankar Chowdhry | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 17 | Microwave-assisted synthesis of L-cysteine-capped nickel nanoparticles for catalytic reduction of 4-nitrophenol显示文摘A simple and efficient microwave-assisted procedure for synthesis of L-cysteine-capped nickel nanoparticles(cyst-Ni NPs) in ethylene glycol solvent was demonstrated. The as-synthesised NPs were characterised by ultraviolet–visible(UV–Vis) spectrophotometer, Fourier transform infrared(FTIR) spectroscopy, transmission electron microscopy(TEM) and X-ray diffractometry(XRD). The cyst-Ni NPs are proved to be excellent heterogeneous catalysts for the 100% reduction of 4-nitrophenol(4-NPh) in the presence of reductant(Na BH4)within reaction time of 40 s. In contrast, Raney nickel in similar sample environments shows only 25.5% reduction.The kinetic and energetic behaviours of cyst-Ni NPs were also studied, and the reduction reaction is determined to follow pseudo-first-order kinetics with a rate constant value of 0.115 s-1 and activation energy of 36.1 kJ·mol-1. In addition to its high catalytic competence, cyst-Ni NPs catalyst exhibits excellent recyclability with negligible catalytic poisoning. | Nazar Hussain Kalwar Ayman Nafady Razium Ali Soomro Sirajuddin Syed Tufail Hussain Sherazi Abdul Rauf Khaskheli Keith Richard Hallam | 2015 | Rare Metals2015，34，10： | 0 |
| 18 | Comparison of resistive index and shear-wave elastography in the evaluation of chronic kidney allograft dysfunction显示文摘BACKGROUND Detection of early chronic changes in the kidney allograft is important for timely intervention and long-term survival.Conventional and novel ultrasound-based investigations are being increasingly used for this purpose with variable results.AIM To compare the diagnostic performance of resistive index(RI)and shear wave elastography(SWE)in the diagnosis of chronic fibrosing changes of kidney allograft with histopathological results.METHODS This is a cross-sectional and comparative study.A total of 154 kidney transplant recipients were included in this study,which was conducted at the Departments of Transplantation and Radiology,Sindh Institute of Urology and Transplantation,Karachi,Pakistan,from August 2022 to February 2023.All consecutive patients with increased serum creatinine levels and reduced glomerular filtration rate(GFR)after three months of transplantation were enrolled in this study.SWE and RI were performed and the findings of these were evaluated against the kidney allograft biopsy results to determine their diagnostic utility.RESULTS The mean age of all patients was 35.32±11.08 years.Among these,126(81.8%)were males and 28(18.2%)were females.The mean serum creatinine in all patients was 2.86±1.68 mg/dL and the mean estimated GFR was 35.38±17.27 mL/min/1.73 m2.Kidney allograft biopsy results showed chronic changes in 55(37.66%)biopsies.The sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of SWE for the detection of chronic allograft damage were 93.10%,96.87%%,94.73%,and 95.87%,respectively,and the diagnostic accuracy was 95.45%.For RI,the sensitivity,specificity,PPV,and NPV were 76.92%,83.33%,70.17%,and 87.62%,respectively,and the diagnostic accuracy was 81.16%.CONCLUSION The results from this study show that SWE is more sensitive and specific as compared to RI in the evaluation of chronic allograft damage.It can be of great help during the routine follow-up of kidney transplant recipients for screening and early detection of chronic changes and selecting patients for allograft biopsy. | Ameet Kumar Jesrani Syed M Faiq Rahma Rashid Tariq Ali Kalwar Rehan Mohsin Tahir Aziz Nida Amin Khan Muhammed Mubarak | 2024 | World Journal of Transplantation2024，14，1： | 0 |
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