Parameter estimation of electric power transformers using Coyote Optimization Algorithm with experimental verification

In this work, the Coyote Optimization Algorithm (COA) is implemented for estimating the parameters of single and three-phase power transformers. The estimation process is employed on the basis of the manufacturer's operation reports. The COA is assessed with the aid of the deviation between the actual and the estimated parameters as the main objective function. Further, the COA is compared with well-known optimization algorithms i.e. particle swarm and Jaya optimization algorithms. Moreover, experimental verifications are carried out on 4 kVA, 380/380 V, three-phase transformer and 1 kVA, 230/230 V, single-phase transformer. The obtained results prove the effectiveness and capability of the proposed COA. According to the obtained results, COA has the ability and stability to identify the accurate optimal parameters in case of both single phase and three phase transformers; thus accurate performance of the transformers is achieved. The estimated parameters using COA lead to the highest closeness to the experimental measured parameters that realizes the best agreements between the estimated parameters and the actual parameters compared with other optimization algorithms

A randomized comparative study between selective walking spinal anesthesia and general anesthesia for anorectal surgeries in outpatient settings

AbstractBackgroundSpinal anesthesia is gradually increasing in ambulatory setting. The limiting factor to the more widespread use of spinal anesthesia in the outpatient setting refers to the effect of residual block. Selective spinal anesthesia (SSA) with low dose lidocaine was compared with modern general anesthesia (GA) technique in day care anorectal surgeries.ObjectiveOur objectives in this study was to compare SSA with propofol and fentanyl based modern GA as regard to 1 – operating conditions 2 – patients’ and surgeon’s satisfaction, 3 – intraoperative, postoperative adverse events and 4 – recovery profiles in ambulatory anorectal surgeries.MethodsProspective randomized clinical study was conducted on 60 patients undergoing elective day case anorectal surgery. The patients were randomly allocated into one of two groups (GA and SSA groups) of 30 patients each. In GA group anesthesia was induced with intravenous fentanyl (2μg/kg) and propofol (2–3mg/kg). Airway was secured with I-gel supraglottic airway. Anesthesia was maintained by sevoflurane 1.5–2%, nitrous oxide 60% in oxygen mixture. SSA group patients received spinal anesthesia with lidocaine 20mg and fentanyl 25μg to a total volume of 3ml with sterile water for injection. Intraoperative, postoperative and home adverse events, time to ambulate, time to home discharge, patients’ and surgeon’s satisfactions were statistically compared between both groups.ResultsBoth anesthetic techniques showed acceptable operating conditions and high rate of patients’ satisfaction. Low pain intensity, shorter time to ambulate and home discharge in SSA compared to GA with a p value<0.001. Intraoperative hemodynamic stability was reported in both groups. No major postoperative or home adverse events in both groups.ConclusionsSSA with low dose lidocaine may be suitable alternative and competitive for modern GA in ambulatory anorectal surgery

Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The  propotional-integral (PI) and fuzzy system controllers  are developed., based on designer’s test and error process and experts. The  experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers

Calli Essential Oils Synergize with Lawsone against Multidrug Resistant Pathogens.

The fast development of multi-drug resistant (MDR) organisms increasingly threatens global health and well-being. Plant natural products have been known for centuries as alternative medicines that can possess pharmacological characteristics, including antimicrobial activities. The antimicrobial activities of essential oil (Calli oil) extracted from the Calligonum comosum plant by hydro-steam distillation was tested either alone or when combined with lawsone, a henna plant naphthoquinone, against MDR microbes. Lawsone showed significant antimicrobial activities against MDR pathogens in the range of 200-300 µg/mL. Furthermore, Calli oil showed significant antimicrobial activities against MDR bacteria in the range of 180-200 µg/mL, Candida at 220-240 µg/mL and spore-forming Rhizopus fungus at 250 µg/mL. Calli oil's inhibition effect on Rhizopus, the major cause of the lethal infection mucormycosis, stands for 72 h, followed by an extended irreversible white sporulation effect. The combination of Calli oil with lawsone enhanced the antimicrobial activities of each individual alone by at least three-fold, while incorporation of both natural products in a liposome reduced their toxicity by four- to eight-fold, while maintaining the augmented efficacy of the combination treatment. We map the antimicrobial activity of Calli oil to its major component, a benzaldehyde derivative. The findings from this study demonstrate that formulations containing essential oils have the potential in the future to overcome antimicrobial resistance

Forage yield of some legumes in monoculture and mixtures under irrigation in central Sudan

&nbsp;&nbsp;&nbsp; The study was conducted during summer, autumn and winter seasons of 2014/15 and 2015/16 at the experimental farm of the Faculty of Agricultural Sciences, University of Gezira, Wad Medani, Sudan, to investigate the effect of mixing on forage yield of selected three legumes namely: cowpea (CP), black-eyed bean (BB) and lablab bean (LB) and their mixtures with three selected grasses, Sudan grass (SG), maize (MZ) and forage sorghum (Abu70). Legumes were grown in pure stand and mixed with grasses in 1:1 and 1:2 ratios. Treatment combinations were arranged in a randomized complete block design (RCBD) with four replications. The results showed that mixing significantly increased plant fresh weight, LAI, and fresh forage yield during most seasons and decreased number of branches per plant during different seasons. Land equivalent ratio mostly was greater than one. Based on the results of this study to obtain high forage yield, it was recommended to use seed combinations of 30 kg seeds/ha LB + 30 kg seed/ha MZ during autumn and winter and 30 kg seeds/ha BB + 30 kg seed/ha SG during summer season. &nbsp;&nbsp;&nbsp; نفذت هذه الدراسة خلال صيف، خريف وشتاء 2014/2015 و2015/2016 بالمزرعة التجريبية لكلية العلوم الزراعية، جامعة الجزيرة، السودان. تهدف هذه الدراسة لتقييم أثر الخلط علي إنتاجية المحاصيل البقولية المختارة وهي اللوبيا الحلو واللوبيا البيضاء واللوبيا العفن ومخاليطها مع المحاصيل النجيلية حشيشة السودان، أبوسبعين والذرة الشامية تحت ظروف الري في أواسط السودان. زرعت المحاصيل البقولية منفرده وفي مخاليط بنسبة 1 : 1 و 1 : 2. تم استخدام تصميم القطاعات العشوائية الكاملة بأربعة مكررات. الخلط أدى إلى زيادة معنوية لكل من&nbsp; وزن النبات الرطب، دليل مساحة الأوراق وإنتاجية العلف الأخضر خلال معظم المواسم بينما أدى الخلط إلى نقصان عدد الأفرع في مختلف المواسم. كانت قيم نسبة مكافئ الأرض في أغلب المواسم&nbsp; أعلى من الواحد الصحيح. بناءً على نتائج هذه الدراسة ولتحقيق إنتاجية أعلاف عالية نوصي بزراعة المحاصيل البقولية في مخاليط بنسبة خلط 30 كجم بذور/هكتار لوبيا عفن + 30 كجم بذور/هكتار ذرة شامية خلال فصلي الخريف والشتاء وبنسبة 30 كجم بذور/هكتار لوبيا حلو + 30 كجم بذور/هكتار حشيشة السودان خلال فصل الصيف. &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp

An Investigation of Inference of the Generalized Extreme Value Distribution Based on Record

In this article, the maximum likelihood and Bayes estimates of the generalized extreme value distribution based on record values are investigated. The asymptotic confidence intervals as well as bootstrap confidence are proposed. The Bayes estimators cannot be obtained in closed form so the MCMC method are used to calculate Bayes estimates as well as the credible intervals. A numerical example is provided to illustrate the proposed estimation methods developed here. Keywords: Generalized extreme value distribution, Record values, Maximum likelihood estimation, Bayesian estimation

Priprava nekoliko novih piridina, tienopiridina i pirido[2,3:4\u27,5\u27]tieno[3\u27,2\u27-d]pirimidin-8-ona iz 2-acetilbenzoimidazola

Reaction of 2-acetylbenzoimidazole 1 with some arylaldehydes under different conditions gave chalcones, 1,5-pentanediones and pyridines. Treatment of chalcones with various types of reagents gave the corresponding new pyridines, thienopyridines, pyrido[2,3:4\u27,5\u27]thieno[3\u27,2\u27-d]- pyrimidin-8-ones via initial addition of active methylene or amino group to the double bond followed by cyclization.Reakcija 2-acetilbenzoimidazola s nekim arilaldehidima pod razli~itim uvjetima daje halkon, 1,5-pentandione i piridine. Obrada halkona s razli~itim reagensima daje nove piridine, tienopiridine i pirido[2,3:4\u27,5\u27]ti -eno[3\u27,2\u27-d]pirimidin-8-one preko po~etne adicije metilena ili amino grupe na dvostruku vezu i nakon toga slijedi ciklizacija

Some Features of Joint Confidence Regions for the Parameters of the Inverse Weibull Distribution

In this paper, we will study the joint confidence regions for the parameters of inverse Weibull distribution in the point of view of record values. One of the applications of the joint confidence regions of the parameters is to find confidence bounds for the functions of the parameters. Joint confidence regions for the parameters of extreme value distribution are also discussed. In this way we will discus some numerical examples with real data set and simulated data, to illustrate the proposed method. A simulation study is performed to compare the proposed joint confidence regions. Keywords: The joint confidence regions, confidence bounds; inverse Weibull distribution, extreme value distribution