http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Babar Nazir 대한영상의학회 2014 Korean Journal of Radiology Vol.15 No.5
Early prostate cancers are best detected with transrectal ultrasound (TRUS)-guided core biopsy of the prostate. Due to increased longevity and improved prostate cancer screening, more men are now subjected to TRUS-guided biopsy. To improve the detection rate of early prostate cancer, the current trend is to increase the number of cores obtained. The significant pain associated with the biopsy procedure is usually neglected in clinical practice. Although it is currently underutilized, the periprostatic nerve block is an effective technique to mitigate pain associated with prostate biopsy. This article reviews contemporary issues pertaining to pain during prostate biopsy and discusses the practical aspects of periprostatic nerve block.
A Review and Comparison of Linear Pneumatic Artificial Muscles
Babar Jamil,Namsoo Oh,Jin‑Gyu Lee,Haneol Lee,Hugo Rodrigue 한국정밀공학회 2024 International Journal of Precision Engineering and Vol.11 No.1
For mechanical systems where a human–machine interface or interaction is necessary, it is important to consider physical safety. In cases where robots and humans must coexist, these robots must have actuation that is inherently compliant to absorb physical impacts. However, these compliant actuators must possess high performance that is comparable with electro-mechanical actuators. Pneumatic artificial muscles (PAMs) are biologically inspired actuators that possess inherent compliance and are a prime candidate for implementation in future robotic applications. This article reviews several designs of contractile PAMs made from various materials and where the actuator may need to be pressurized, depressurized, or vacuumed to produce mechanical work. Although these PAMs are all physically compliant due to the inherent compressibility of air, their performance varies significantly from one design to the other such that it may be hard to identify a suitable actuator for a given application. This paper covers a broad range of contractile PAM designs and compares their performance based on a few metrics in order to help users determine which actuators have the most potential for future implementations. The paper also identifies a few areas where significant challenges will have to be solved for these new actuators to help pave the way for a world where robots can operate in close proximity to humans.
Babar, P.T.,Lokhande, A.C.,Pawar, B.S.,Gang, M.G.,Jo, Eunjin,Go, Changsik,Suryawanshi, M.P.,Pawar, S.M.,Kim, Jin Hyeok Elsevier 2018 APPLIED SURFACE SCIENCE - Vol.427 No.1
<P><B>Abstract</B></P> <P>The development of an inexpensive, stable, and highly active electrocatalyst for oxygen evolution reaction (OER) is essential for the practical application of water splitting. Herein, we have synthesized an electrodeposited cobalt hydroxide on nickel foam and subsequently annealed in an air atmosphere at 400°C for 2h. In-depth characterization of all the films using X-ray diffraction (XRD), X-ray photoelectron emission spectroscopy (XPS), field emission scanning electron microscopy (FE-SEM), electrochemical impedance spectroscopy (EIS) and linear sweep voltammetry (LSV) techniques, which reveals major changes for their structural, morphological, compositional and electrochemical properties, respectively. The cobalt hydroxide nanosheet film shows high catalytic activity with 290mV overpotential at 10mAcm<SUP>−2</SUP> and 91mVdec<SUP>−1</SUP> Tafel slope and robust stability (24h) for OER in 1M KOH electrolyte compared to cobalt oxide (340mV). The better OER activity of cobalt hydroxide in comparison to cobalt oxide originated from high active sites, enhanced surface, and charge transport capability.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Simple and highly efficient method for deposition of Cobalt based electrode. </LI> <LI> Efficient OER performance of Co(OH)<SUB>2</SUB>. </LI> <LI> Co(OH)<SUB>2</SUB> exhibits low overpotential (290mV) over Co<SUB>3</SUB>O<SUB>4</SUB> (340mV) at current density of 10mAcm<SUP>−2</SUP>. </LI> <LI> Superior performance of Co(OH)<SUB>2</SUB> mainly due to large surface and active sites compare to Co<SUB>3</SUB>O<SUB>4</SUB>. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Effect of leavening agent on structural and photocatalytic properties of ZnO nanorods
Babar, S. B.,Gavade, N. L.,Park, J.,Garadkar, K. M.,Bhuse, V. M. Springer Science + Business Media 2017 Journal of materials science Materials in electron Vol.28 No.12
<P>In the present work, we have demonstrated a simple, facile, one-step, rapid and cost effective synthesis of ZnO nanorods through the thermal decomposition of zinc acetate and leavening agent (NaHCO3). The silver nanoparticles (AgNPs) were deposited on the surface of ZnO nanorods by photocatalytic reduction of Ag (I) to Ag(0). As synthesized ZnO nanorods and Ag-ZnO nanocomposites were characterized by using X-ray Diffraction, field emission scanning electron microscope, high-resolution transmission electron microscope and diffuse reflectance spectroscopy. The photocatalytic activities of the ZnO nanorods and Ag-ZnO nanocomposites were evaluated for the photodegradation of Methyl Orange (MO) under UV and sunlight irradiation. The use of common leavening agent helps to prevent the aggregation of ZnO nanorods, further it hinders crystallite growth and narrowing the diameter of nanorods by the evolution of carbon dioxide during calcination. The ZnO nanorods and Ag-ZnO nanocomposite exhibited an enhanced photocatalytic activity and separation of photogenerated electron and hole pairs. Due to effect of leavening agent and AgNPs deposited on surface of ZnO nanorods finds best catalyst for the 99% degradation of MO within 30 min compared to ZnO.</P>
Babar, P.T.,Lokhande, A.C.,Gang, M.G.,Pawar, B.S.,Pawar, S.M.,Kim, Jin Hyeok Elsevier 2018 Journal of industrial and engineering chemistry Vol.60 No.-
<P><B>Abstract</B></P> <P>Low-cost and competent electrocatalysts play a key role in an electrocatalytic water oxidation reaction. Herein, we report that readily available bare nickel foam (NF) can be used as conductive substrate and precursor to grow a porous nickel oxide (NiO) using a simple and scalable thermal oxidation method. The obtained NiO supported on NF is used as binder-free electrocatalyst for the oxygen evolution reaction (OER) and its electrochemical properties are evaluated by linear sweep voltammetry (LSV) in 1M KOH. The porous NiO thin film acts as an efficient electrocatalyst for the OER and achieves a catalytic current density of 10mAcm<SUP>−2</SUP> at an overpotential of 310mV with a smaller Tafel slope of 54mVdec<SUP>−1</SUP>. The electrode also shows good durability over 24h with negligible degradation. This durable and high-performance electrocatalyst can be a competitor to electrocatalysts that consist of costly elements and, require advanced synthesis; the NiO electrocatalyst shows progress towards the replacement of noble metal-based electrocatalysts for the OER.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Porous NiO has been synthesized by a simple thermal oxidation method. </LI> <LI> Thermally oxidized NiO show significantly enhanced OER activity. </LI> <LI> It is promising for fabrication of low-cost and robust OER electrode. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Comparative Analysis of Machine Learning Models for Crop's yield Prediction
Babar, Zaheer Ud Din,UlAmin, Riaz,Sarwar, Muhammad Nabeel,Jabeen, Sidra,Abdullah, Muhammad International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.5
In light of the decreasing crop production and shortage of food across the world, one of the crucial criteria of agriculture nowadays is selecting the right crop for the right piece of land at the right time. First problem is that How Farmers can predict the right crop for cultivation because famers have no knowledge about prediction of crop. Second problem is that which algorithm is best that provide the maximum accuracy for crop prediction. Therefore, in this research Author proposed a method that would help to select the most suitable crop(s) for a specific land based on the analysis of the affecting parameters (Temperature, Humidity, Soil Moisture) using machine learning. In this work, the author implemented Random Forest Classifier, Support Vector Machine, k-Nearest Neighbor, and Decision Tree for crop selection. The author trained these algorithms with the training dataset and later these algorithms were tested with the test dataset. The author compared the performances of all the tested methods to arrive at the best outcome. In this way best algorithm from the mention above is selected for crop prediction.