Frequencies Dominations for Different Rating of Distribution Transformer under Transients

Power transients faults on high voltage lines are prominently due to high frequency transients. These transients affect the predicted life and efficiency of equipment. The Fast Fourier Transform (FFT) is helpful in analysing the effect of high frequencies and Frequency Response Analysis (FRA) provide support in diagnosis and detection of deformation in a transformers. The major aim of this study is to analyse the incorporation of frequencies based on resonating core of a particular transformer. Using transfer function method an impedance change in transformer has been observed when equipment is subjected to high voltage transients. The effect of change in impedance is that it degrade the life of a core with respect to time. In this paper, research that has been done already on Transformers of different ratings i.e. 100, 50 and 30 kVA are studied and then an experiment is performed on 50-kVA transformer. It was concluded that the core of a transformer having rating equal or less than 50 kVA practically shows single resonance behavior while above 50 kVA for instance 100-kVA transformer core resonates twice. In actual, result defines the core deviating frequency with respect to the rating of a transformer

Support Vector Regression Based S-transform for Prediction of Single and Multiple Power Quality Disturbances

This paper presents a novel approach using Support Vector Regression (SVR) based S-transform to predict the classes of single and multiple power quality disturbances in a three-phase industrial power system. Most of the power quality disturbances recorded in an industrial power system are non-stationary and comprise of multiple power quality disturbances that coexist together for only a short duration in time due to the contribution of the network impedances and types of customers’ connected loads. The ability to detect and predict all the types of power quality disturbances encrypted in a voltage signal is vital in the analyses on the causes of the power quality disturbances and in the identification of incipient fault in the networks. In this paper, the performances of two types of SVR based S-transform, the non-linear radial basis function (RBF) SVR based S-transform and the multilayer perceptron (MLP) SVR based S-transform, were compared for their abilities in making prediction for the classes of single and multiple power quality disturbances. The results for the analyses of 651 numbers of single and multiple voltage disturbances gave prediction accuracies of 86.1% (MLP SVR) and 93.9% (RBF SVR) respectively. Keywords: Power Quality, Power Quality Prediction, S-transform, SVM, SV

Ethnomedicinal Values of Legume Plants in Pakistan

The data on medicinal plants in the vegetation of Pakistan was studied and surveyed from September to November, 2018. Different ethnomedicinal species were recorded which are used by local inhabitants as a medicine, fodder, fuel, and for agricultural purpose. Many of the medicinal plants recorded are used for the treatment of two or more diseases by the local people. The family Fabaceae was dominant with respect to medicinal plants. The precious knowledge of medicinal flora is rapidly vanishing due to the illiteracy among the local people and also due to destruction of the medicinal plants. The present study was designed to convey the knowledge and importance of medicinal flora as well as traditional uses of such plants in daily life

Fungal Biotic Stresses in Plants and Its Control Strategy

Vegetable and fruit are economically very important and valuable crops throughout the world. According to Pakistan Agriculture Research Council (PARC) the same report, Pakistan was the fifth largest exporter in the world, but according to there is continuous decline in the production of fruit and vegetable in Pakistan. The reasons for this reduction are various and many but the major threat in yield production is various pests and pathogens which cause considerable losses every year. Major insects which attack on crop fields are aphids, mites, thrips, etc.; besides pests, different pathogens also cause various diseases in field crop and reduce yield of the plant, for example, fungi, viruses, bacteria, and nematodes. Among other pathogens, the fungal diseases are more destructive than diseases cause by other pathogens

Comparison of Tramadol and Pethidine for the treatment of shivering during spinal anesthesia

Objectives: The aim of the study is to compare the effectiveness of tramadol vs pethidine for treatment of shivering occurring after spinal anesthesia. Study Design: Double blind comparative study. Place and duration of study: Department of anesthesiology and pain medicine, Combined Military Hospital Malir Cantt Karachi from 1st September to 31st December 2017. Methodology: 70 patients were selected following non-random convenient sampling and were divided into Group A and B. Group A received 0.25mg/kg tramadol while Group B received 0.35mg/kg pethidine. Time to complete control of shivering was noted. Nausea and vomiting were also evaluated by using a four-point scale (Table1). Results: Shivering was successfully controlled in 91.4% and 85.7% respectively in group A and B; success rates were not statistically different (p=0.23). Average time between injection tramadol to complete control of shivering in successfully treated Group A patients was 210±63 seconds (range of 100 to 310 seconds) and for pethidine average time was 174±52 seconds (range of 90 to 258 seconds). Pethidine showed a shorter time to control shivering which was statistically significant (p=0.09) but in real time amounted to an average of 0.6 minutes (Figure 2). Nausea and vomiting were more frequent (14.3% vs 8.6%) in group B as compared to Group A and this was statistically significant (p=0.03). Conclusion: Tramadol was found to be as effective as pethidine in controlling shivering with fewer side effects in spinal anesthesi

Role of Employee Training in Enhancing Perceived Performance through competencies in Services Industry- A Study of Pakistani Banking Sector

Background: Employee Training is one of the leading contemporary human resource aspects, it is perfect approach leading towards effective employee development and is used as renowned technique for creating new leaders and enriching employee’s skills. Training is nowadays a no-way-option for almost all organizations. Training acts crucially at dual dimensions; it enhances employee performance and works on organizational development. This study plans to evaluate the role of training and training design and delivery towards the employee competencies leading to employee’s perceived performance in banking sector. Methodology: It is quantitative research with post-positivist approach. Data was collected from 152 bankers from different banks in Karachi through a survey questionnaire. Data was analyzed by applying descriptive analysis and statistical tests. Results: Results revealed that there exists substantial relationship between (IV-1) On-Job-Training, (IV-2) Training Design and Delivery and (DV) Perceived Performance, although (IV-3) Off-Job-Training proved as weak predictor. The study produced useful information for future researches

SPINDLE CELL CARCINOMA OF LARYNX- A DISTINCT CLINICOPATHOLOGICAL AND HISTOLOGICAL ENTITY

Spindle cell carcinoma (SpCC) is a variant of squamous cell carcinoma with biphasic components and more aggressive behaviour. Its rarity and histopathological pattern pose a diagnostic challenge. Early diagnosis and treatment result in a decrease in local and distant metastasis. Case 1 is a 71-year-old female presented with hoarseness of voice and dyspnoea for 2 years without any risk factors. Fibre-optic laryngoscopy (FOL) revealed smooth polyp hanging from anterior two-third of the left vocal cord. Microlaryngoscopic excision revealed SpCC followed by post-operative radiotherapy and is currentlyalive. Case 2 is a 72-year-old male presented with worsening stridor for 2 years post-excision of laryngeal nodule and history of smoking and hookah use for >20 years. He developed dysphonia after a few months with fixed hard level 3 nodes at the right side. FOL showed a polypoid mass extending from the left vocal cord into the supraglottis. Fine-needle aspiration cytology of the neck swelling confirmed the diagnosis of SpCC. Computerised tomography (CT) chest/abdomen showed distant metastasis. Palliative radiotherapy was given, but the patient died after 3 months due to locoregional failure. Case 3 is a 35-year-old male presented with a history of hoarseness for 3 years with no risk factors. FOL showed a 1.2-cm polypoid growth on the right vocal cord. Total laryngectomy was performed and histopathology showed SpCC. Radiotherapy was given and the patient is alive without disease with regular follow-ups. Smoking and alcohol are thought to be the contributing factors causing this disease. Biphasic nature of the tumour requires pathological sampling for diagnostic confirmation. Surgery combined with radiotherapy has a better survival outcome. SpCC is a rare tumour with a tendency for locoregionalrecurrence. Surgery should remain the mainstay of treatment followed by post-operative radiotherapy for a better control.Key words: Larynx, radiotherapy, spindle cell carcinom

Levothyroxine sodium loaded dissolving microneedle arrays for transdermal delivery

Levothyroxine (LT-4) sodium has shown variable bioavailability following oral administration. This can be assigned to the significant influence of gastrointestinal conditions, food and drugs administered concomitantly on the rate and extent of absorption from the gastrointestinal tract. Thus, the aim of this research study was to establish an efficient transdermal delivery system of LT-4 sodium via the application of hyaluronic acid dissolving microneedles. Microneedles-based drug delivery system consists of sharp-tip needles that puncture the top layers of the skin in a minimally invasive manner to create physical channels through which therapeutic molecules can easily diffuse into/across the skin. Hyaluronic acid polymer at different ratios (5-60 %) was used to prepare microneedle arrays (100 needles per array) using a micromoulding technique. Characterisation tests were carried out to select the optimum formulation. F11 formula containing 50% w/v hyaluronic acid and 1% v/v Tween 80 formula showed an appropriate needle shape with dimensions of 432 ± 6.4 μm in height and a tip diameter of 9.8 ± 1.3 μm. The microneedle arrays demonstrated a suitable mechanical strength after applying a force of 32 N per array and an excellent insertion ability both in Parafilm M® and human skin. The in vivo dissolution of microneedles was started rapidly within 5 minutes following the insertion in the skin and completed at 1 hour. Ex vivo permeation study using human skin has shown a significant improvement in LT-4 sodium delivery across the skin compared to control preparations (drug solution and microneedle free film). The microneedle array F11 has significantly (P ≤ 0.05) increased LT-4 sodium permeation through the skin (cumulative permeated amount of 32 ± 2 µg/cm²) in comparison to the control solution (cumulative permeated amount of 0.7 ± 0.07 µg/cm²) and the microneedle free film (cumulative permeated amount of 0.1 ± 0.02 µg/cm²) over 7 hours. The findings from the irritation test revealed that mild erythema was produced from the application of microneedle arrays which disappeared within 24 hours. Accordingly, dissolving hyaluronic acid microneedles could be a feasible and effective approach to delivering LT-4 sodium transdermally without causing significant skin damage

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes

Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. Several environmental factors are involved in determining drought classes at the specific monitoring station. Therefore, efficient sequence processing techniques are required to explore and predict the periodic information about the various episodes of drought classes. In this study, we proposed a new weighting scheme to predict the probability of various drought classes under Weighted Markov Chain (WMC) model. We provide a standardized scheme of weights for ordinal sequences of drought classifications by normalizing squared weighted Cohen Kappa. Illustrations of the proposed scheme are given by including temporal ordinal data on drought classes determined by the standardized precipitation temperature index (SPTI). Experimental results show that the proposed weighting scheme for WMC model is sufficiently flexible to address actual changes in drought classifications by restructuring the transient behavior of a Markov chain. In summary, this paper proposes a new weighting scheme to improve the accuracy of the WMC, specifically in the field of hydrology