298 research outputs found

    Integrating Enterprise Decision-Making Modules into Undergraduate Management and Industrial Engineering Curricula

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    This paper describes a framework we have developed for teaching enterprise decision-making using Enterprise Decision-Making Modules linked together through a common case scenario. Each module is situated in an organizational process, e.g., the supply chain and order fulfillment process, and involves students in hands-on decision-making using an Enterprise System (ES) to provide an integrated, process-oriented, data-rich environment typical of modern organizations. Our framework differs from other approaches to integrating ES into curricula because it is designed to teach students to work in an integrated process-oriented environment without changing to an integrated process-oriented curriculum and because it introduces decision-making modules across management and engineering curricula while minimizing the ES knowledge required of faculty and the classroom time devoted to ES skills. The paper also describes our Oracle-based technical infrastructure, the project plan and management, as well as our methods for assessing student learning. It reports results from our successful pilot study testing the feasibility of this approach with two decision-making modules in two classes, and also describes Phase 2 of the project, currently underway, which involves additional faculty and modules and tests student understanding of working in an integrated, data-rich environment

    Knowledge, Perception and Attitude of Community Pharmacists towards Generic Medicines in Karachi, Pakistan: A Qualitative Insight

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    Purpose: In an era of escalating healthcare costs and ageing population, there is a need for costeffective measures. This study was aimed to investigate the knowledge, perception and attitude of community pharmacists towards generic medicines. Methods: A  qualitative methodology was adopted. Snowball sampling technique was used to identify eight community pharmacists. Semi-structured interviews were conducted with the pharmacists until the point of saturation was obtained. The interviews, which were audio-taped and transcribed verbatim, were evaluated by thematic content analysis and further verified by other authors’ analyses. Results: Thematic content analysis identified three major themes: knowledge of generic medicines,perception towards generic medicines, and attitude towards generic medicines. All the pharmacist  showed good understanding and positive perception towards generic medicines. Mixed responses were observed regarding dispensing of locally manufactured medicines. Low cost was cited as the major determinant in dispensing locally manufactured generics. Conclusion: The current study showed good knowledge and perception towards generic medicines among community pharmacists in Karachi, Pakistan. It also highlighted mixed attitudes towards generic medicine dispensing. A 24-hour mandatory presence of professionally qualified pharmacists in community pharmacies can boost the confidence of doctors in pharmacists and enhance generic substitution.Keywords:   Community pharmacist, Generic Medicine, Pakistan, Qualitative methodolog

    Modelling and robust controller design for an underactuated self-balancing robot with uncertain parameter estimation

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    A comprehensive literature review of self-balancing robot (SBR) provides an insight to the strengths and limitations of the available control techniques for different applications. Most of the researchers have not included the payload and its variations in their investigations. To address this problem comprehensively, it was realized that a rigorous mathematical model of the SBR will help to design an effective control for the targeted system. A robust control for a two-wheeled SBR with unknown payload parameters is considered in these investigations. Although, its mechanical design has the advantage of additional maneuverability, however, the robot's stability is affected by changes in the rider's mass and height, which affect the robot's center of gravity (COG). Conventionally, variations in these parameters impact the performance of the controller that are designed with the assumption to operate under nominal values of the rider's mass and height. The proposed solution includes an extended Kalman filter (EKF) based sliding mode controller (SMC) with an extensive mathematical model describing the dynamics of the robot itself and the payload. The rider's mass and height are estimated using EKF and this information is used to improve the control of SBR. Significance of the proposed method is demonstrated by comparing simulation results with the conventional SMC under different scenarios as well as with other techniques in literature. The proposed method shows zero steady state error and no overshoot. Performance of the conventional SMC is improved with controller parameter estimation. Moreover, the stability issue in the reaching phase of the controller is also solved with the availability of parameter estimates. The proposed method is suitable for a wide range of indoor applications with no disturbance. This investigation provides a comprehensive comparison of available techniques to contextualize the proposed method within the scope of self-balancing robots for indoor applications

    Patterns of cancer cell sphere formation in primary cultures of human oral tongue squamous cell carcinoma and neck nodes

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    YesRecently a sub-population of cells with stem cell characteristics, reported to be associated with initiation, growth, spread and recurrence, has been identified in several solid tumors including oral tongue squamous cell carcinoma (OTSCC). The aim of our pilot study was to isolate CD44+ cancer stem cells from primary cultures of OTSCC and neck node Level I (node-I) biopsies, grow cell spheres and observe their characteristics in primary cultures. Parallel cultures of hyperplastic lesions of tongue (non-cancer) were set up as a control. Immunohistochemistry was used to detect CD44/CD24 expression and magnetic activated cell sorting to isolate CD44+ cell populations followed by primary cell culturing. Both OTSCC and node-I biopsies produced floating spheres in suspension, however those grown in hyperplastic and node-I primary cultures did not exhibit self-renewal properties. Lymph node metastatic OTSCC, express higher CD44/CD24 levels, produce cancer cell spheres in larger number and rapidly (24 hours) compared to node negative OTSCC (1 week) and non-cancer specimens (3 weeks). In addition, metastatic OTSCC have the capacity for proliferation for up to three generations in primary culture. This in vitro system will be used to study cancer stem cell behavior, therapeutic drug screening and optimization of radiation dose for elimination of resistant cancer cells.SKMCH&RC, Yorkshire Cancer Researc

    Analysis of L-citrulline and L-arginine in Ficus deltoidea leaf extracts by reverse phase high performance liquid chromatography

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    Ficus deltoidea (FD) is one of the native plants widely distributed in several countries in Southeast Asia. Previous studies have shown that FD leaf possess antinociceptive, wound healing and antioxidant properties. These beneficial effects have been attributed to the presence of primary and secondary metabolites such as polyphenols, amino acids and flavonoids. Objective: The aim was to develop a reverse phase high-performance liquid chromatography method with ultraviolet detection that involves precolumn derivatisation with O-phthaladehyde for simultaneous analysis of two amino acids L-citrulline and L-arginine in FD leaf extracts. Materials and Methods: An isocratic elution program consisting of methanol: acetonitrile: Water at 45:45:10 v/v (solvent A) and 0.1 M phosphate buffer pH 7.5 (solvent B) at A: B v/v ratio of 80:20 on Zorbax Eclipse C18 SB-Aq column (250 × 4.6 mm, 5 μm) were used. The flow rate was set at 1 ml/min and detection was carried out at 338 nm with 30 min separation time. Results: Good linearity for L-citrulline and L-arginine was obtained in the range 0.1-1000 μg/ml at R2 ≥ 0.998. The limit of detection and limit of quantification values for both L-citrulline and L-arginine were 1 and 5 μg/ml, respectively. The average of recoveries was in the range 94.94-101.95%, with relative standard deviation (%RSD) less than 3%. Intra- and inter-day precision was in the range 96.36-102.43% with RSD less than 2%. Conclusion: All validation parameters of the developed method indicate the method is reliable and efficient for simultaneous determination of L-citrulline and L-arginine for routine analysis of FD

    An energy efficient cluster-heads re-usability mechanism for wireless sensor networks

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    Wireless sensor networks (WSNs) are formed using a cluster of sensor nodes (SNs), deployed randomly to perform sensing operations in an area under observation. Due to the unavailability of an external power source, the energy efficiency considered as one of the critical issues in WSNs. Selection of a sensor node (SN) from a wireless sensor network (WSN) cluster to serve as an aggregator or cluster head (CH), considered as an efficient method to increase the lifetime of wireless sensor network (WSN). In this paper, we have proposed an energy efficient CH selection scheme for WSN, to enhance the lifetime and average residual energy of a single WSN cluster. The proposed strategy nominates a group SNs as CHs, based on their channel condition with the base station (BS) and their residual energy. The proposed algorithm is helpful in solving the problem of unbalanced energy consumption in WSNs. Furthermore, the mechanism of using mobile sink during the hand-off stage helps to overcome the delay in data transmission. Moreover, the incorporation of energy harvesting significantly increases the lifetime of WSN. In comparison to a state-of-art technique available in the literature, our scheme shows a 33% increase in lifetime and presents a steady decrease in residual energy for the same rounds of data transmission

    Correlation Between Previous Caesarean Section and Adverse Maternal Outcomes Accordingly With Robson Classification: Systematic Review and Meta-Analysis

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    Background: The increasing rates of Caesarean section (CS) beyond the WHO standards (10–15%) pose a significant global health concern. Objective: Systematic review and meta-analysis to identify an association between CS history and maternal adverse outcomes for the subsequent pregnancy and delivery among women classified in Robson classification (RC). Search Strategy: PubMed/Medline, EbscoHost, ProQuest, Embase, Web of Science, BIOSIS, MEDLINE, and Russian Science Citation Index databases were searched from 2008 to 2018. Selection Criteria: Based on Robson classification, studies reporting one or more of the 14 adverse maternal outcomes were considered eligible for this review. Data Collection: Study design data, interventions used, CS history, and adverse maternal outcomes were extracted. Main Results: From 4,084 studies, 28 (n = 1,524,695 women) met the inclusion criteria. RC group 5 showed the highest proportion among deliveries followed by RC10, RC7, and RC8 (67.71, 32.27, 0.02, and 0.001%). Among adverse maternal outcomes, hysterectomy had the highest association after preterm delivery OR = 3.39 (95% CI 1.56–7.36), followed by Severe Maternal Outcomes OR = 2.95 (95% CI 1.00–8.67). We identified over one and a half million pregnant women, of whom the majority were found to belong to RC group 5. Conclusions: Previous CS was observed to be associated with adverse maternal outcomes for the subsequent pregnancies. CS rates need to be monitored given the prospective risks which may occur for maternal and child health in subsequent births

    Knowledge, perceived barriers and facilitators of medication error reporting: a quantitative survey in Malaysian primary care clinics

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    Background Medication errors are the most common types of medical errors that occur in health care organisations; however, these errors are largely underreported. Objective This study assessed knowledge on medication error reporting, perceived barriers to reporting medication errors, motivations for reporting medication errors and medication error reporting practices among various health care practitioners working at primary care clinics. Setting This study was conducted in 27 primary care clinics in Malaysia. Methods A self-administered survey was distributed to family medicine specialists, doctors, pharmacists, pharmacist assistants, nurses and assistant medical officers. Main outcome measures Health care practitioners' knowledge, perceived barriers and motivations for reporting medication errors. Results Of all respondents (N = 376), nurses represented 31.9% (n = 120), followed by doctors (n = 87, 23.1%), pharmacists (n = 63, 16.8%), assistant medical officers (n = 53, 14.1%), pharmacist assistants (n = 46, 12.2%) and family medicine specialists (n = 7, 1.9%). Of the survey respondents who had experience reporting medication errors, 56% (n = 62) had submitted medication error reports in the preceding 12 months. Results showed that 41.2% (n = 155) of respondents were classified as having good knowledge on medication error and medication error reporting. The mean score of knowledge was significantly higher among prescribers and pharmacists than nurses, pharmacist assistants and assistant medical officers (p < 0.05). A heavy workload was the key barrier for both nurses and assistant medical officers, while time constraints prevented pharmacists from reporting medication errors. Family medicine specialists were mainly unsure about the reporting process. On the other hand, doctors and pharmacist assistants did not report primarily because they were unaware medication errors had occurred. Both family medicine specialists and pharmacist assistants identified patient harm as a motivation to report an error. Doctors and nurses indicated that they would report if they thought reporting could improve the current practices. Assistant medical officers reported that anonymous reporting would encourage them to submit a report. Pharmacists would report if they have enough time to do so. Conclusion Policy makers should consider using the information on identified barriers and facilitators to reporting medication errors in this study to improve the reporting system to reduce under-reported medication errors in primary car
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