Microbial Dynamics in Salt Affected Soils

Zahir Shah,Asif Shah 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

A prospective randomized study of arthroscopic ACL reconstruction with adjustable- versus fixed-loop device for femoral side fixation

( Naiyer Asif ),( Mohammad Jesan Khan ),( K. P. Haris ),( Shah Waliullah ),( Anubhav Sharma ),( Danish Firoz ) 대한슬관절학회 2021 대한슬관절학회지 Vol.33 No.-

Purpose: Suspensory devices are extensively used in the management of anterior cruciate ligament (ACL) tear. They include fixed- and adjustable-loop devices. There are only a few studies comparing the efficacy of these two devices in the available literature. Therefore, the aim of this study is to compare clinical outcomes between the adjustableloop device (group I) and fixed-loop device (group II). Materials and methods: This was a prospective randomized study. Both groups were equivalent in demographic, preoperative, and intraoperative variables. Twenty-three patients underwent femoral side graft fixation with adjustable- loop and 20 with fixed-loop devices. Four patients were lost to follow-up. Assessment of clinical outcome was done with International Knee Documentation Committee (IKDC) score, Lysholm score, and knee stability tests (Lachman test and pivot shift test). Patient evaluation was performed preoperatively and finally postoperatively 2 years after surgery. Results: Postoperative IKDC scores of group I and II were 91.9 ± 3.6 and 91.5 ± 3.6, respectively, and Lysholm scores were 91.0 ± 3.6 and 91.4 ± 3.5, respectively, after 2 years; however, the difference in the outcomes was statistically insignificant (p > 0.05). Twenty patients (87%) in group I and 17 patients (85%) in group II had a negative Lachman test (p = 0.8). Twenty-two patients (95.7%) in group I and 19 patients (95%) in group II had a negative pivot shift test (p = 0.9). Conclusion: ACL reconstruction with fixed- and adjustable-loop suspensory devices for graft fixation gives equivalent and satisfactory clinical results. Level of evidence: 1.

Poly(propylene glycol) stabilized gold nanoparticles: An efficient colorimetric assay for ceftriaxone

Daim Asif Raja,Syed Ghulam Musharraf,Muhammad Raza Shah,Abdul Jabbar,Muhammad Iqbal Bhanger,Muhammad Imran Malik 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.87 No.-

Polymer capped metal nanoparticles have been used for numerous biomedical and analyticalapplications. In present study, highly stable gold nanoparticles (AuNPs) capped with polypropyleneglycol (PPG) were synthesized using chemical reduction method. The characterization of PPG-AuNPs wasaccomplished by atomic force microscopy (AFM), zetasizer, fourier transform infrared spectroscopy (FT-IR) and UV–vis spectroscopy. Furthermore, PPG-AuNPs were utilized as colorimetric probe for thirdgeneration cephalosporin antibiotic, ceftriaxone (CEF). PPG-AuNPs permitted efficient, selective,quantitative and rapid recognition in concentration range of 0.1–100 mM in presence of numerousother drugs and salts. PPG-AuNPs have great potential for quantitative recognition of ceftriaxone inbiological and environmental samples. Moreover, the developed sensor has capacity to be applied asquality control of pharmaceutical formulations containing ceftriaxone. The PPG-AuNPs based sensorpermits quantitative and fast recognition of ceftriaxone away from a sophisticated laboratory setup.

Characterization and Electrical Conductivity of Carbon-Coated Metallic (Ni, Cu, Sn) Nanocapsules

Wang, Dong Xing,Shah, Asif,Zhou, Lei,Zhang, Xue Feng,Liu, Chun Jing,Huang, Hao,Dong, Xing Long Korean Society of Microscopy 2015 Applied microscopy Vol.45 No.4

Carbon-coated Ni, Cu and Sn nanocapsules were investigated by means of X-ray diffraction (XRD), transmission electron microscopy (TEM) and a four-point probe device. All of these nanocapsules were prepared by an arc-discharge method, in which the bulk metals were evaporated under methane ($CH_4$) atmosphere. Three pure metals (Ni, Cu, Sn) were typically diverse in formation of the carbon encapsulated nanoparticles and their different mechanisms were investigated. It was indicated that a thick carbon layers formed on the surface of Ni(C) nanocapsules, whereas a thin shell of carbon with 1~2 layers covered on Cu(C) nanocapsules, and the Sn(C) nanocapsules was, in fact, a longger multi-walled carbon nanotubes partially-filled with metal Sn. As one typical magnetic/dielectric nanocomposite particles, Ni(C) nanocapsules and its counterpart of oxide-coated Ni(O) nanocapsules were compared in the electrically conductive behaviors for further applications as the electromagnetic materials.

Efficiency Enhanced Super Resolution Generative Adversarial Network via Advanced Knowledge Distillati

Hussain,신정훈,Syed Asif Raza Shah,조금원 한국멀티미디어학회 2023 멀티미디어학회논문지 Vol.26 No.12

Super-resolution (SR) stands as a prominent challenge in computer vision with diverse applications. Generative adversarial networks (GANs) yield impressive SR outcomes by restoring high-quality images from low-resolution input. However, GAN-based SR (particularly generators) have high memory demands, leading to performance degradation and energy consumption, making them unsuitable for resource-limited devices. Addressing this concern, our paper introduces a novel and efficient SR-GAN (generator) model architecture by strategically leveraging knowledge distillation, which results in reducing storage demands by 58% while enhancing performance. Our approach involves extracting feature maps from a resourceintensive model to design a lightweight model with minimal computational and memory requirements. Experiments across several benchmarks demonstrate that the proposed compressed model outperforms existing knowledge distillation-based techniques, particularly in regard to SSIM, PSNR, and overall image quality in x4 super-resolution tasks. In the future, this compressed model will be implemented and benchmarked with existing models in resource-limited devices such as tablet and wearing devices.

Novel In Situ Synthesized Fe@C Magnetic Nanocapsules Used as Adsorbent for Removal of Organic Dyes and Its Recycling

Ranran Li,Jieyi Yu,Asif Shah,Xinglong Dong,Xiaona Li,Hongtao Yu,Xie Quan,Youngguan Jung 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.2

Core/shell type carbon-coated Fe nanocapsules (Fe@C NCs) were in situ synthesized by DC arcdischarge plasma method in methane atmosphere. Such Fe nanocapsules have saturation magnetization of 29.32 emu/g and specific surface area of 85.86 m2/g. The carbon shell of Fe@C NCs was functionalized with oxygen-containing groups (such as –OH or –COOH) by using H2O2. The adsorption of organic dye, e.g., methylene blue (MB) was systematically investigated in different conditions, such as contact time, pH values and temperature. The maximum adsorption capacity (46.5 mg/g) was calculated by fitting the adsorption isotherms with Langmuir model, coincident with the experimental result of 44.5 mg/g. Kinetics data supported pseudo-second order model, and the thermodynamic process of adsorption was revealed as endothermic and spontaneous physisorption. The MB-absorbed Fe@C NCs can be entirely separated from the contaminative solution by a magnetic field and then successfully cycled for regeneration. After repetitive cycles of the adsorption/desorption experiments for five times, the removal efficiency can be maintained over 90%.

A Novel Approach for Blind Estimation of Reverberation Time using Gamma Distribution Model

Hamza, Amad,Jan, Tariqullah,Jehangir, Asiya,Shah, Waqar,Zafar, Haseeb,Asif, M. The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.2

In this paper we proposed an unsupervised algorithm to estimate the reverberation time (RT) directly from the reverberant speech signal. For estimation process we use maximum likelihood estimation (MLE) which is a very well-known and state of the art method for estimation in the field of signal processing. All existing RT estimation methods are based on the decay rate distribution. The decay rate can be obtained either from the energy envelop decay curve analysis of noise source when it is switch off or from decay curve of impulse response of an enclosure. The analysis of a pre-existing method of reverberation time estimation is the foundation of the proposed method. In one of the state of the art method, the reverberation decay is modeled as a Laplacian distribution. In this paper, the proposed method models the reverberation decay as a Gamma distribution along with the unification of an effective technique for spotting free decay in reverberant speech. Maximum likelihood estimation technique is then used to estimate the RT from the free decays. The method was motivated by our observation that the RT of a reverberant signal when falls in specific range, then the decay rate of the signal follows Gamma distribution. Experiments are carried out on different reverberant speech signal to measure the accuracy of the suggested method. The experimental results reveal that the proposed method performs better and the accuracy is high in comparison to the state of the art method.

A Novel Approach for Blind Estimation of Reverberation Time using Gamma Distribution Model

Amad Hamza,Tariqullah Jan,Asiya Jehangir,Waqar Shah,Haseeb Zafar,M. Asif 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.2

In this paper we proposed an unsupervised algorithm to estimate the reverberation time (RT) directly from the reverberant speech signal. For estimation process we use maximum likelihood estimation (MLE) which is a very well-known and state of the art method for estimation in the field of signal processing. All existing RT estimation methods are based on the decay rate distribution. The decay rate can be obtained either from the energy envelop decay curve analysis of noise source when it is switch off or from decay curve of impulse response of an enclosure. The analysis of a pre-existing method of reverberation time estimation is the foundation of the proposed method. In one of the state of the art method, the reverberation decay is modeled as a Laplacian distribution. In this paper, the proposed method models the reverberation decay as a Gamma distribution along with the unification of an effective technique for spotting free decay in reverberant speech. Maximum likelihood estimation technique is then used to estimate the RT from the free decays. The method was motivated by our observation that the RT of a reverberant signal when falls in specific range, then the decay rate of the signal follows Gamma distribution. Experiments are carried out on different reverberant speech signal to measure the accuracy of the suggested method. The experimental results reveal that the proposed method performs better and the accuracy is high in comparison to the state of the art method.