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Search Results: 1 - 10 of 138601 matches for " Mueen K "
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Major changes in Pharmacognosy Magazine
Mueen Ahmed K
Pharmacognosy Magazine , 2010,
Abstract:
New challenges in the new year for Phcog Mag.: 5 years of quality publication
Mueen Ahmed K
Pharmacognosy Magazine , 2011,
Abstract:
Uncovering negative results: Introducing an open access journal "Journal of Pharmaceutical Negative Results"
Kundoor Vipra,Mueen Ahmed K
Pharmacognosy Magazine , 2010,
Abstract:
The relaxant effect induced by Allium sativum L. bulb aqueous extract on rat isolated trachea
Fehri Badreddine,Mueen Ahmed K,Aiache Jean-Marc
Pharmacognosy Magazine , 2011,
Abstract: Background: Garlic plays an important role in complementary and alternative medicine. Most people believe in and use herbal products even when they have not been as thoroughly researched as garlic. Garlic is also known for its beneficial effects on the cardiovascular system. Materials and Methods: The relaxant effect of Allium sativum L. bulb aqueous extract (ASBAE) containing 0.06%-0.10% of allicin was studied on isolated smooth muscle of trachea of rats precontracted using acetylcholine (10 5 M). Results: It was found that ASBAE induced a dose-dependent relaxation with recorded EC 50 values of 71.87 ± 5.90 μg/mL (n = 7). Pretreatments with mepyramine (10 7 M), methysergide (10 7 M), caffeine (10 6 M), theophylline (10 6 M), nifedipine (10 6 M), and dipyridamole (10 6 M) did not alter ASBAE concentration-response curves. In turn, concentration-response curves to ASBAE were significantly shifted toward right in the presence of aspirin (3.10 3 M), indomethacin (10 6 M), prazosin (10 6 M), and propranolol (10 7 M). Conclusion: It is suggested that the recorded relaxation results are due to the release of prostaglandins E 1 and E 2 consecutively to a- and b-adrenoreceptor stimulation.
Can Simple Preoperative Hemoglobin Testing Screen Symptomatic Anemia in Patients Undergoing Ambulatory Surgeries in Third World Countries?  [PDF]
Sobia Khan, Mueen Ullah Khan, Khalid Samad
Open Journal of Anesthesiology (OJAnes) , 2012, DOI: 10.4236/ojanes.2012.24034
Abstract: Background: Patients coming for ambulatory surgeries are mostly healthy adults and asymptomatic anemia in these patients is rare. According to international standards, perioperative period is not an appropriate setting to screen and investigate the cause of asymptomatic anemia, but in third world countries where iron deficiency is rampant, it is generally required as per local hospitals policy to test hemoglobin levels prior to any surgery in order to prevent morbidity. The purpose of our study is to look at the prevalence of anemia in patient undergoing minor elective ambulatory surgeries. Method: This was a cross sectional observational study conducted at tertiary care unit, Karachi, Pakistan. A total of 385 ASA-I (American Society of Anesthesiologist) and II patient’s age ranged 18 - 60 years, scheduled for day care surgical procedures were enrolled in the study. Results: Anemia was detected in 74 (19.2%) patients and its prevalence was found to be higher in females and in patients above 50 years of age. However, the presence of anemia did not have any influence on the perioperative outcomes or management. Conclusion: The routine preoperative hemoglobin testing does not have any effect on the perioperative outcomes in asymptomatic patients who are planned for elective day care surgeries.
Simultaneous determination of moxifloxacin and cefixime by first and ratio first derivative ultraviolet spectrophotometry
Mahesh Attimarad, Bander E Al-Dhubiab, Ibrahim A Alhaider, Anroop B Nair, Sree N, Mueen K
Chemistry Central Journal , 2012, DOI: 10.1186/1752-153x-6-105
Abstract: In the first derivative spectrophotometric method varying concentration of moxifloxacin and cefixime were prepared and scanned in the range of 200 to 400 nm and first derivative spectra were calculated (n?=?1). The zero crossing wavelengths 287 nm and 317.9 nm were selected for determination of moxifloxacin and cefixime, respectively. In the second method the first derivative of ratio spectra was calculated and used for the determination of moxifloxacin and cefixime by measuring the peak intensity at 359.3 nm and 269.6 nm respectively.Calibration graphs were established in the range of 1–16 μg /mL and 1–15 μg /mL for both the drugs by first and ratio first derivative spectroscopic methods respectively with good correlation coefficients. Average accuracy of assay of moxifloxacin and cefixime were found to be 100.68% and 98 93%, respectively. Relative standard deviations of both inter and intraday assays were less than 1.8%. Moreover, recovery of moxifloxacin and cefixime was more than 98.7% and 99.1%, respectively.The described derivative spectrophotometric methods are simple, rapid, accurate, precise and excellent alternative to sophisticated chromatographic techniques. Hence, the proposed methods can be used for the quality control of the cited drugs and can be extended for routine analysis of the drugs in formulations.Ultraviolet (UV) – visible spectroscopic method of analysis is widely used in the analysis of drugs in pharmaceutical formulations and for dissolution and disintegration studies due to its good sensitivity and cost effectiveness. In last three decades, derivative spectrophotometry has been extensively used in the determination of drugs in multi components having overlapping spectra, which eliminates interference from formulation matrix by using the zero-crossing techniques [1-4]. Ratio-spectra derivative spectrophotometric method is another useful technique for the estimation of drugs in their mixtures [5-8].The derivative spectra methods allows us t
Management of Cotton leaf Curl Virus by planting time and plant spacing
Muhammad Iqbal,Mueen A. Khan
Advances in Agriculture & Botanics , 2010,
Abstract: Cotton leaf curl virus (CLCuV) is one of the most destructive diseases limiting the vegetativegrowth and production of cotton. Development of CLCuV resistant cotton genotypes is the mosteffective strategy to minimize the yield losses due to this disease. But so far no cotton genotyperesistant to CLCuV (Burewala strain) has been reported. We are then only left with the option to alterthe management practices to minimize the yield losses. The objective of this study was therefore todetermine the effects of planting time, plant spacing and genotypes on CLCuV incidence. Significantdifferences existed for seed cotton yield and its components and CLCuV infestation due to plantingtime and genotypes. Infestation due to CLCuV varied significantly among genotypes. Maximum seedcotton yield (2068kg/ha) was recorded in genotype MNH-6070 planted at 30the June with plant-toplantspacing of 15cm. Moreover MNH-6070 proved to be better under CLCuV infestation than the rest.There was less disease incidence on 1st May planted cotton as compared to late sown cotton (15th &30th June). Maximum CLCuV incidence was recorded within 30-45 days in late planting as compared to105 days of early planted cotton. From the present study it is concluded that early planting withincreased plant spacing and late planting with reduced plant spacing is effective in managing CLCuV toachieve optimum seed cotton yield.
Dynamic Multi Layer Signature based Intrusion Detection system Using Mobile Agents
Mueen Uddin,Azizah Abdul Rahman
Computer Science , 2010,
Abstract: Intrusion detection systems have become a key component in ensuring the safety of systems and networks. As networks grow in size and speed continues to increase, it is crucial that efficient scalable techniques should be developed for IDS systems. Signature based detection is the most extensively used threat detection technique for Intrusion Detection Systems (IDS). One of the foremost challenges for signaturebased IDS systems is how to keep up with large volume of incoming traffic when each packet needs to be compared with every signature in the database. When an IDS cannot keep up with the traffic flood, all it can do is to drop packets, therefore, may miss potential attacks. This paper proposes a new model called Dynamic Multi-Layer Signature based IDS using Mobile Agents, which can detect imminent threats with very high success rate by dynamically and automatically creating and using small and efficient multiple databases, and at the same time, provide mechanism to update these small signature databases at regular intervals using Mobile Agents
Server Consolidation: An Approach to make Data Centers Energy Efficient and Green
Mueen Uddin,Azizah Abdul Rahman
Computer Science , 2010,
Abstract: Data centers are the building blocks of IT business organizations providing the capabilities of centralized repository for storage, management, networking and dissemination of data. With the rapid increase in the capacity and size of data centers, there is a continuous increase in the demand for energy consumption. These data centers not only consume a tremendous amount of energy but are riddled with IT inefficiencies. All data center are plagued with thousands of servers as major components. These servers consume huge energy without performing useful work. In an average server environment, 30% of the servers are "dead" only consuming energy, without being properly utilized. Their utilization ratio is only 5 to 10 percent. This paper focuses on the use of an emerging technology called virtualization to achieve energy efficient data centers by providing a solution called server consolidation. It increases the utilization ratio up to 50% saving huge amount of energy. Server consolidation helps in implementing green data centers to ensure that IT infrastructure contributes as little as possible to the emission of green house gases, and helps to regain power and cooling capacity, recapture resilience and dramatically reducing energy costs and total cost of ownership.
Virtualization Implementation Model for Cost Effective & Efficient Data Centers
Mueen Uddin,Azizah Abdul Rahman
Computer Science , 2012,
Abstract: Data centers form a key part of the infrastructure upon which a variety of information technology services are built. They provide the capabilities of centralized repository for storage, management, networking and dissemination of data. With the rapid increase in the capacity and size of data centers, there is a continuous increase in the demand for energy consumption. These data centers not only consume a tremendous amount of energy but are riddled with IT inefficiencies. Data center are plagued with thousands of servers as major components. These servers consume huge energy without performing useful work. In an average server environment, 30% of the servers are "dead" only consuming energy, without being properly utilized. This paper proposes a five step model using an emerging technology called virtualization to achieve energy efficient data centers. The proposed model helps Data Center managers to properly implement virtualization technology in their data centers to make them green and energy efficient so as to ensure that IT infrastructure contributes as little as possible to the emission of greenhouse gases, and helps to regain power and cooling capacity, recapture resilience and dramatically reducing energy costs and total cost of ownership.
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