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Muhammad Hayat,Nadeem Raza,Umair Jamal,Suryyia Manzoor,Naseem Abbas,Muhammad Imran Khan,Jechan Lee,Richard J. C. Brown,김기현 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.109 No.-
As a key member of benzoylurea insecticides, lufenuron exhibits a strong potential for bioaccumulationin ecosystems. Here, we report the synthesis of a molecularly imprinted polymer (MIP) and its applicationfor selective extraction of lufenuron from agricultural runoff samples. The morphology and thermalstability of the prepared MIP was characterized by SEM and TGA, respectively. The experimental conditionsfor lufenuron detection were optimized through batch binding assay and response surface methodology(RSM). The MIP showcased a two-fold enhancement in binding capacity of lufenuron (74 mg g1)relative to non-imprinted polymer (36 mg g1), when measured through batch binding assay. Using aRSM based on central composite design, the qe value was predicted as 73.6 mg g1 under optimal experimentalconditions (e.g., pH 8). Furthermore, the percentage recovery of lufenuron was estimated as98.8 ± 1.8% (n = 9). The adsorption kinetics of the MIP followed the pseudo-first-order model with v2value of 0.004 (correlation coefficient of 0.99). The limit of detection for lufenuron using MIP-basedmethod was 3 106 mg mL1. There was no significant decrease in the performance of MIP against lufenuronover five successive cycles.
Muhammad Hasnain,Imran Ghani,Muhammad Fermi Pasha,Ishrat Hayat Malik,Shahzad Malik 한국인터넷방송통신학회 2019 International Journal of Internet, Broadcasting an Vol.11 No.2
Research classification of software modules was done to validate the approaches proposed for addressing limitations in existing classification approaches. The objective of this study was to replicate the experiments of a recently published research study and re-evaluate its results. The reason to repeat the experiment(s) and re-evaluate the results was to verify the approach to identify the faulty and non-faulty modules applied in the original study for the prioritization of test cases. As a methodology, weconducted this study to re-evaluate the results of the study. The results showed that binary logistic regression analysis remains helpful for researchers for predictions, as it provides an overall prediction of accuracy in percentage. Our study shows a prediction accuracy of 92.9% for the PureMVC Java open source program, while the original study showed an 82% prediction accuracy for the same Java program classes. It is believed by the authors that future research can refine the criteria used to classify classes of web systemswritten in various programming languages based on the results of this study.
Yousaf, Nageen,Afzal, Sibtain,Hayat, Tehreem,Shah, Jasmin,Ahmad, Nafees,Abbasi, Rashda,Ramzan, Khushnooda,Jan, Rasul,Khan, Imran,Ahmed, Jawad,Siraj, Sami Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: Vitamin D receptor (VDR) gene has been a subject of extensive pharmacogenetic research recently. Association studies between different types of cancers including prostate cancer (PCa) and VDR gene polymorphism have also been conducted. The objective of this study was to find possible associations between PCa and VDR gene polymorphisms in the Pakistani population. Materials and Methods: A total of 162 subjects, including prostate cancer patients and controls, were genotyped for Apa I, Taq I and Fok I polymorphisms in the VDR gene using allele specific PCR, PCR-RFLP and direct DNA sequencing. Allelic frequencies were tested for Hardy-Weinberg equilibrium and associations between the genetic markers and PCa were calculated using logistic regression. Results: Apa I CC genotype was found to have strongest association with PCa risk, and "A" genotype was found to have protective effect. Fok I and Taq I did not have appreciable levels of association with PCa, although Taq I "TC" heterozygotes seemed to have some protective effect. Similarly the "C" allele of Fok I also seemed to have protective effect. Conclusions: To our knowledge, this is the first report showing association between VDR gene polymorphisms and PCa in Pakistan. Our findings may be somewhat skewed because of small sample size and tendency of consanguineous marriages in Pakistani society; nevertheless, it shows the trend of association and protective effects of certain VDR gene polymorphisms against PCa.
S.M. Sabir,H. Maqsood,Imran Hayat,M.Q. Khan,A. Khaliq 한국식품영양과학회 2005 Journal of medicinal food Vol.8 No.4
Sea buckthorn (Hippophae rhamnoides ssp. turkestanica) is a very important medicinal plant in northern ar-eas of Pakistan. The fruit of sea buckthorn is rich in nutrients and medicinal compounds such as vitamins, carotene, flavonoids,essential oil, carbohydrates, organic acids, amino acids, and minerals. In order to compare various populations of sea buck-thorn for chemical composition, eight populations from different areas of northern Pakistan were compared using fruit char-acteristics. Phytochemical analysis of berries showed vitamin C (250333 mg/100 g), seed oil (7.6913.7%), oil in softer pulp(19.229.1%), phytosterol content of seed oil (3.35.5%), and anthocyanin (0.525 mg/L), while the mineral element com-position analysis revealed high contents of potassium (140360 ppm), sodium (2080 ppm), calcium (7098 ppm), magne-sium (150240 ppm), iron (40150 ppm), and phosphorus (110133 ppm). This study established sea buckthorn berries as agood source of biochemical and mineral elements. The high variation between different populations shows the potential ofselecting and breeding of the raw material for various defined purposes.
Kim, Sang-Yun,Park, Young-Jun,Ali, Imran,Nga, Truong Thi Kim,Ryu, Ho-Cheol,Khan, Zaffar Hayat Nawaz,Park, Seong-Mun,Pu, Young Gun,Lee, Minjae,Hwang, Keum Cheol,Yang, Youngoo,Lee, Kang-Yoon Institute of Electrical and Electronics Engineers 2018 IEEE transactions on power electronics Vol.33 No.2
<P>In this paper, a high efficiency dc–dc buck converter with two-step digital pulse width modulation (DPWM) and low power self-tracking zero current detector (ST-ZCD) is proposed for Internet of Things (IoT) and ultralow power applications. The hybrid DPWM core with high linearity and low power consumption is proposed to implement the high efficiency DPWM dc–dc converter. It is composed of a two-step delay control using the counter and delay line. An adaptive window analog to digital converter is proposed to reduce the output voltage ripple within 20 mV. A dead time generator is implemented with the proposed ST-ZCD to minimize the reverse current. The ST-ZCD can improve efficiency by reducing the control loss that accounts for a large proportion of the dc–dc converter. Also, all digital type-III compensator is implemented for the low power and small die area. This chip is fabricated with a 55 nm CMOS process, which uses the standard supply voltage of 1.5–3 V to generate the output voltage of 1.2 V. The total active area is 500 μm × 300 μm. The measured peak efficiency of the DPWM dc–dc buck converter is 91.5% with a quiescent current consuming only 130 μA.</P>