Optimum SHE for cascaded H-bridge multilevel inverters using: NR-GA-PSO, comparative study

Selective Harmonic Elimination (SHE) is very widely applied technique in the control of multilevel inverters that can be used to eliminate the low order dominant harmonics. This is considered a low frequency technique, in which the switching angles are predetermined based on solving a system of transcendental equations. Iterative techniques such as NR and Heuristic techniques such as GA and PSO have been used widely in literatures for the problem of SHE. This paper presents a detailed comparative study of these three techniques when applied for a 7-level CHB-MLI

Hubungan Antara Mutu Pelayanan Perawat Dan Tingkat Pendidikan Dengan Kepuasan Pasien Peserta Badan Penyelenggara Jaminan Sosial (Bpjs) Kesehatan Di Ruang Rawat Inap Rumah Sakit Islam (Rsi) Sitti Maryam Kota Manado

HUBUNGAN ANTARA MUTU PELAYANAN PERAWAT DAN TINGKAT PENDIDIKAN DENGAN KEPUASAN PASIEN PESERTA BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KESEHATAN DI RUANG RAWAT INAP RUMAH SAKIT ISLAM (RSI) SITTI MARYAM KOTA MANADO Azlika M. Alamri1), Adisti A. Rumayar1), Febi K. Kolibu1) 1)Fakultas Kesehatan Masyarakat Universitas Sam Ratulangi ABSTRACT Public as health services users expect the optimal health care organized by the hospital about the performance of health workers in order to fulfill the needs of patients which is measured by patient satisfaction. The increasing of public education demand for quality health services, especially nurses service which can be seen from the erviqual dimension (responsiveness, reliability, assurance, empathy, physical evidence). Nurse service has many parts that interact with patients directly, so the quality of services performed by nurses is an indicator of good or poor quality of care in hospitals. This study aims to determine the correlation between nurses service quality and education level with BPJS patients in the inpatient unit RSI Sitti Maryam Manado. This study is an analytic survey with cross sectional study design. There are 89 samples in total based on inclusion criteria. The collection of data obtained through questionnaires. The statistical tests used to analyze the relationship between variables is chi square test, with α = 0.05 and C1 = 95%. The result of bivariate analyzation show there is a corrrelation between the quality of nursing care with patient satisfaction because p value = 0,000 α (0,05) Through this study, researcher gives suggestions to the hospital in order to draw up a program of patient satisfaction surveys on a regular basis. Keywords: Quality of Care Nurse, Level of Education, Health BPJS Participants Patient Satisfaction ABSTRAK Masyarakat sebagai pengguna jasa layanan kesehatan mengharapkan pelayanan kesehatan yang optimal yang diselenggarakan oleh rumah sakit tentang kinerja tenaga-tenaga kesehatan dalam memenuhi kebutuhan pasien yang diukur dari kepuasan pasien. Meningkatnya pendidikan masyarakat menuntut adanya mutu pelayanan kesehatan terutama pelayanan perawat yang dapat dilihat dari dimensi serviqual (ketanggapan, kehandalan, jaminan, empati, bukti fisik). Pelayanan perawat mempunyai bagian yang banyak berinteraksi dengan pasien secara langsung sehingga mutu pelayanan yang dilaksanakan oleh perawat merupakan indikator baik atau buruknya mutu pelayanan di rumah sakit. Tujuan penelitian ini untuk mengetahui hubungan antara mutu pelayanan perawat dan tingkat pendidikan dengan kepuasan pasien pesertat Badan Penyelenggara Jaminan Sosial (BPJS Kesehatan) di ruang rawat inap RSI Sitti Maryam Kota Manado

Selective inhibition of toxic cyanobacteria by β-carboline-containing bacterium Bacillus flexus isolated from Saudi freshwaters

AbstractA bacterial strain SSZ01 isolated from a eutrophic lake in Saudi Arabia dominated by cyanobacterial blooms, showed an antialgal activity against cyanobacteria species. Based on the analysis of the 16S rDNA gene sequence, the isolated strain (SSZ01) most likely belonged to the genus Bacillus with a 99% similarity to Bacillus flexus strain EMGA5. The thin layer chromatography (TLC) analysis of the ethyl acetate extract of this bacterium revealed that this strain can produce harmine and norharmane compared to different β-carboline analog standards. Harmine and norharmane were also detected in considerable amounts in bacterial growth medium, indicating a potential excretion of these compounds into the aquatic environment. The crude extract of Bacillus flexus as well as pure materials of harmine and norharmane inhibited the growth of tested species of cyanobacteria. However, the bacterial crude extract has a higher toxicity against tested species of cyanobacteria than harmine and norharmane. In addition, harmine was more toxic to cyanobacteria than norharmane. On the other hand, neither pure compounds of harmine and norharmane nor crude bacterial extract showed any antialgal activity against tested species of green algae. The results of the present study suggest that B. flexus SSZ01 or its crude extract containing harmine and norharmane could be a candidate for the selective control of cyanobacterial blooms without affecting other algal species

Evaluation of student assessment practices in a medical college

Background: The importance of students’ assessment and its role in driving students learning are well recognized. Guidelines for good assessment practice have been developed. The GMC issued important recommendations related to assessment of students’ performance to be followed by medical schools in UK. The Liaison Committee on Medical Education (LCME) developed standards emphasizing the importance of documenting students’ performance. The utility concept of an assessment tool had been proposed by Van der Vleuten stating a number of weighted criteria. Assessment of clinical competence was proposed to be well covered by the model of Miller. No single method of assessment can be recommended to be appropriate for all assessment purposes and all domains of competence. Therefore, multiple methods of assessment are required.Methods: There are 35 courses included in the MBBS program in the college of medicine, KKU. these are taught over five years in addition to a preparatory year and the internship year. the curriculum can still be described as discipline based. a survey was planned to study the current assessment situation. this is a cross-sectional descriptive study. the data collection methods used were survey and study of the documents of the courses. an online questionnaire was developed. the responses were analyzed using descriptive statistics to determine frequencies, averages and percentages. the study was conducted during the period January-May 2014.Results: Twenty course coordinators responded to the survey (57%). Eleven of the courses covered were basic and nine were clinical. Multiple tests as well as multiple methods of continuous assessment were used in the courses studied. Some of the methods used for summative assessment are no longer recommended in current assessment practices in medical education. Real OSCE was used only in one clinical course. Standard setting methods were not used and a fixed pass mark was used instead.Conclusions: Important shortcomings in student assessment system in many of the courses studied were identified. Less educationally desirable assessment methods and practices are still used in some courses such as unattended single long case examination. More attention should be given to technical aspects of assessment

Beyond LIFO and FIFO: Exploring an Allocation-In-Fraction-Out (AIFO) policy in a two-warehouse inventory model

The classical formulation of a two-warehouse inventory model is often based on the Last-In-First-Out (LIFO) or First-In-First-Out (FIFO) dispatching policy. The LIFO policy relies upon inventory stored in a rented warehouse (RW), with an ample capacity, being consumed first, before depleting inventory of an owned warehouse (OW) that has a limited capacity. Consumption works the other way around for the FIFO policy. In this paper, a new policy entitled “Allocation-In-Fraction-Out (AIFO)” is proposed. Unlike LIFO and FIFO, AIFO implies simultaneous consumption fractions associated with RW and OW. That said, the goods at both warehouses are depleted by the end of the same cycle. This necessitates the introduction of a key performance indicator to trade-off the costs associated with AIFO, LIFO and FIFO. Consequently, three general two-warehouse inventory models for items that are subject to inspection for imperfect quality are developed and compared – each underlying one of the dispatching policies considered. Each sub-replenishment that is delivered to OW and RW incurs a distinct transportation cost and undertakes a 100 per cent screening. The mathematical formulation reflects a diverse range of time-varying forms. The paper provides illustrative examples that analyse the behaviour of deterioration, value of information and perishability in different settings. For perishable products, we demonstrate that LIFO and FIFO may not be the right dispatching policies. Further, relaxing the inherent determinism of the maximum capacity associated with OW, not only produces better results and implies comprehensive learning, but may also suggest outsourcing the inventory holding through vendor managed inventory

Selective simultaneous ultra-performance liquid chromatographic quantification of some benzodiazepines drug residues in pharmaceutical industrial wastewater

Purpose: To investigate the sensitivity and selectivity of ultra-performance liquid chromatographic (UPLC) quantification of bromazepam (BRZ) and diazepam (DZP) in pharmaceutical industrial wastewater. Methods: Wastewater samples were collected from the effluents of a pharmaceutical industrial plant producing BRZ and DZP in tablet dosage forms. The quantification of BRZ and DZP was done after their solid-phase extraction. The resolution process was performed on WatersTM column as the stationary phase. The mobile phase was acetonitrile: methanol: 0.05 M phosphate buffer (pH 6.5), at a volume ratio of 5:2:3, with a flow rate of 0.7 mL/min. Detection was carried out at 240 nm in a concentration range of 10 – 250 ng/mL. The method was fully validated in line with ICH-Q2B regulations. Results: The UPLC method was validated for the quantification of BRZ and DZP. The relative percentage recoveries were 99.55 ± 0.48 (n = 5) and 101.34 ± 0.86 (n = 5), for BRZ and DZP, respectively, in spiked distilled water, and 99.16 ± 0.77 (n = 5) and 99.32 ± 0.56 (n = 5), in tap water, respectively. The UPLC revealed effluent content ranging from 20.68 – 44.77 mg/mL for BRZ and 22.77 – 41.83 ng/mL for DZP. These values were not significantly different from their reference standards (p > 0.05). Conclusion: A sensitive and selective UPLC-method has been developed for the reproducible determination of BRZ and DZP in industrial wastewater samples. The effective monitoring of the pharmaceutical industrial pollutant will help to conserve the environment and minimize the hazardous effects of these pollutants

Solid-phase extraction and validated spectrofluorimetric quantification of pamidronate in human plasma

Purpose: To design a simple and sensitive quantification procedure for pamidronate disodium (PAM) after its solid phase extraction from plasma.Methods: The procedure was based on derivatization of PAM using a suitable fluorogen, 4-chloro-7-nitro-2,1,3-benzoxazole. The  product was determined spectrofluorometrically at excitation and emission wavelengths of 390 and 535 nm, respectively. The method was optimized for all factors that affect the reaction between PAM and the fluorogen. These factors include diluting solvent, pH of the reaction medium, volume of fluorogen solution, buffer pH, buffer volume, temperature and heating time. The method was fully validated according to US-FDA guidelines with respect to linearity, accuracy, precision, recovery, robustness and stability.Results: PAM was successfully extracted from human plasma with solid-phase extraction technique. A linear response was obtained in the concentration range of 10 – 100 ng/mL, with correlation coefficient of 0.998. Mean maximum plasma concentration of PAM was 9.73.2 ± 3.2 µmol/L, which was within the linear range of the proposed method, thereby confirming its sensitivity for the determination of plasma PAM.Conclusion: The proposed procedure is suitable for the quantification of PAM in human plasma after its solid phase extraction. The method is sensitive enough for use in PAM determination in pharmacokinetic studies. Moreover, it is likely a more cost-effective and simpler alternative method than high performance liquid chromatograph (HPLC) methods. Keywords: Pamidronate disodium, Derivatization, Spectrofluorimetry, Fluorogen, Quantificatio

Long lead time drought forecasting using lagged climate variables and a stacked long short-term memory model.

Drought forecasting with a long lead time is essential for early warning systems and risk management strategies. The use of machine learning algorithms has been proven to be beneficial in forecasting droughts. However, forecasting at long lead times remains a challenge due to the effects of climate change and the complexities involved in drought assessment. The rise of deep learning techniques can solve this issue, and the present work aims to use a stacked long short-term memory (LSTM) architecture to forecast a commonly used drought measure, namely, the Standard Precipitation Evaporation Index. The model was then applied to the New South Wales region of Australia, with hydrometeorological and climatic variables as predictors. The multivariate interpolated grid of the Climatic Research Unit was used to compute the index at monthly scales, with meteorological variables as predictors. The architecture was trained using data from the period of 1901-2000 and tested on data from the period of 2001-2018. The results were then forecasted at lead times ranging from 1 month to 12 months. The forecasted results were analysed in terms of drought characteristics, such as drought intensity, drought onset, spatial extent and number of drought months, to elucidate how these characteristics improve the understanding of drought forecasting. The drought intensity forecasting capability of the model used two statistical metrics, namely, the coefficient of determination (R2) and root-mean-square error. The variation in the number of drought months was examined using the threat score technique. The results of this study showed that the stacked LSTM model can forecast effectively at short-term and long-term lead times. Such findings will be essential for government agencies and can be further tested to understand the forecasting capability of the presented architecture at shorter temporal scales, which can range from days to weeks

Efficient inventory control for imperfect quality items

In this paper, we present a general EOQ model for items that are subject to inspection for imperfect quality. Each lot that is delivered to the sorting facility undertakes a 100 per cent screening and the percentage of defective items per lot reduces according to a learning curve. The generality of the model is viewed as important both from an academic and practitioner perspective. The mathematical formulation considers arbitrary functions of time that allow the decision maker to assess the consequences of a diverse range of strategies by employing a single inventory model. A rigorous methodology is utilised to show that the solution is a unique and global optimal and a general step-by-step solution procedure is presented for continuous intra-cycle periodic review applications. The value of the temperature history and flow time through the supply chain is also used to determine an efficient policy. Furthermore, coordination mechanisms that may affect the supplier and the retailer are explored to improve inventory control at both echelons. The paper provides illustrative examples that demonstrate the application of the theoretical model in different settings and lead to the generation of interesting managerial insights