Influence of single and multiple dry bands on critical flashover voltage of silicone rubber outdoor insulators: simulation and experimental study

Dry band formation on the surface of outdoor insulators is one of the main reasons leading to flashover and power outages. In this paper, a dynamic arc model is proposed for single and multiple dry bands configuration to predict the critical flashover voltage for silicone rubber outdoor insulators. An arc is modelled as a time dependent impedance consisting of a Resistor Inductor Capacitor (RLC) circuit. The effect of dry band location and existence of multiple dry bands on critical flashover voltage is investigated. To validate the proposed model, experiments were conducted in a climate chamber under controlled environmental conditions on rectangular silicone rubber sheets polluted using improved solid layer method based on IEC 60,507. Tests were conducted at different dry band configurations and pollution severity levels. A good correlation was found between experimental results and simulation results. This model can provide a good foundation for the development of mathematical models for station post insulators having multiple dry and clean bands and can be used in the design and selection of outdoor insulators for polluted conditions

HEALTH STATUS AND IMPRISONMENT PROFILE OF JAIL INMATES OF DISTRICT JAIL RAHIM YAR KHAN, PAKISTAN

Out of 850 total prisoners of district jail, Rahim Yar Khan, 100 were selected at random and examined for prevalence of HIV. Apart from HIV screening, data was collected about different diseases, narcotics use, occupations, reasons for imprisonment, ages and marital status of the prisoners through a questionnaire. None of these prisoners was suffering from HIV, the results regarding narcotics habits showed that 3% of the prisoners were used to bhang, 4% took heroin, 5% were using snuff, 34% cigarette smokers and 54% were not taking any narcotics. Nineteen percent of the prisoners suffered from various diseases like asthma, allergy, chest infection, hernia, heart problem, jaundice, lung infection, ulcer, weakness, typhoid and gastric problems whereas 81% were healthy

S-2: Options for the Pakistan Navy

Around noon on 26 July 2009, Gurushuran Kaur, the wife of the Indian prime minister, broke a single coconut on the hull of a submarine in the fifteen- meter-deep Matsya dry dock at Visakhapatnam (also known as Vizag). The occasion marked the formal launch of India’s first indigenously built submarine, a six-thousand-ton nuclear-powered ballistic-missile submarine (SSBN) known as S-2—also as the Advanced Technology Vessel (ATV) and, more commonly, by its future name, INS Arihant(destroyer of the enemy).2 The launch ended for In- dia a journey stretching over three decades since the inauguration of the ATV program and including an eleven-year construction period

A comparison of intrinsic and extrinsic compensation instruments: the case of National Bank Of Pakistan (NBP)

The paper aims to compare the compensation instruments which are used as the factors of motivation in the banking sector of Pakistan. With a case study research design, structured interviews were conducted from the fifty ( 5 0 ) employees of NBP branches in district Attock. The responses of interview were scaled and scored according to standardized Likert technique, in such a way that scores for each response were added and then multiplied with total responses. After obtaining scores of the nine compensation factors, Pearson Product correlation was calculated to check the relationship between the compensation factors. The results show that the employees of National Bank of Pakistan were motivated both by the intrinsic as well extrinsic factors of compensation, in such way that extrinsic factors were more causing motivation. The paper has concluded that Compensation Management has a profound direct positive relationship with employee motivation level and intrinsic factors played important role in the motivation process. The paper recommends that public sector banks shall apply progressive human resource strategy and provide healthy compensation plans regarding benefits and intrinsic factors

Corpora lutea diameter, plasma progesterone concentration and follicular development in PGF2α and CIDR estrus synchronized goats.

The current study compares the number and diameter of the corpora lutea (CL),plasma progesterone concentrations and follicular development in PGF2α and CIDR synchronized estrus cycle, their subsequent estrus cycles, and in unsynchronized,naturally cycling Boer x Feral crossbred goats. The PGF2α group was synchronized with a double intramuscular injection of 125 μg cloprostenol 11 days apart, the progesterone group was synchronized with CIDR left in place for 17 days, while the third group was not synchronized and served as control. All the estrus synchronized goats ovulated and formed normal CL while 25% in the subsequent estrus cycle and 50% of the naturally cycling goats did not ovulate and hence might be a cause of reduced fertility in the goats. The diameter of the CL, and the plasma progesterone concentration between the PGF2α synchronized (11.9±0.5 mm; 3.51±0.19 ng/ml) and their subsequent estrus cycle (12.0±0.4 mm; 3.22±0.71 ng/ml), as well as between CIDR synchronized (12.3±0.4 mm; 5.98±1.11 ng/ml) and subsequent estrus cycle (12.5±0.8 mm; 4.25±1.37 ng/ml) were not significantly different (P>0.05) but were higher than in the unsynchronized goats (9.3±3.8 mm;2.99±s1.64 ng/ml). The day of emergence and duration of follicular waves, as well as the maximum diameter attained by the largest follicle in the follicular waves was unaffected irrespective of whether PGF2α or CIDR was used for estrus synchronization. This indicated that the morphology and function of the CL did not influence these aspects of follicular development in non-seasonally polyestrus Boer crossbred goats in the humid tropics

Workersa Remittances and Economic Growth: Evidence from Azerbaijan and Armenia

The basic objective of every state is to uplift social welfare of the society There are different ways to boost the process of socio -economic growth welfare and development but the role of workers remittances is not the sole but very decisive and eminent in its nature Therefore this aims to explore theoretically and empirically the impacts of workers remittances on economic growth of Azerbaijan and Armenia s economies The statistical analysis has been made through simple log linear regression model and the method of least square has been used The finding of the study indicates that worker remittances are significant and have positive impacts on economic growth and development for the study area Thus findings suggest that the relevant authorities of both the countries need to formulate appropriate conducive policies in order to encourage worker remittances In addition it is further suggests that workers remittances received from other countries must also be utilized more efficiently to have similar impact

A Comparative Study of Traditional and Hybrid Models for Text Classification

Natural Language Processing (NLP) is a fundamental task that is essential for the automation of the categorization of textual data using an existing set of categories, such as sentiment analysis, spam detection, fake news detection, etc. Due to the interpretability and also efficiency, the Logistic Regression (LR), Support Vector Machine (SVM), and Random Forest (RF) have been very popularly used for text classification under traditional machine learning models. Yet, such models fail in modeling contextual linkages and semantic subtleties as they would be necessary to handle text with complex structure. As such, hybrid models that couple the two traditional and deep learning techniques have emerged as a potential way to address these problems. In the note, I review all efforts of text classification that have the potentials of contributing to my classification task, which includes traditional machine learning models, hybrid models, and deep learning models. The AG News dataset is used for evaluation and accuracy, precision, recall and F1 score are used to measure the performance of the models. Finally, the results suggest that both deep learning based hybrid models such as BERT + SVM Hybrid Model (95.7%) and CNN + LSTM Hybrid Model (94.5%) surpass the performance of any traditional or ensemble learning based models by the exploitation of contextual embeddings and sequential modeling. XGBoost (92.8% accuracy) and Bagging Classifier (91.5% accuracy) of ensemble learning models have good generalization as well as stability compared to standalone learner. Though the hybrid models offer superior classification performance at the sacrifice of computational resources, longer training times, there are tradeoffs in regards to the model classes and the problem. It brings out the tradeoffs made by traditional, ensemble, and the deep learning based hybrid models toward the applicability of the same towards different classification of text. The findings establish a platform towards choosing the best suitable classification model under performance requirements and computational constraints for researchers and practitioners

Analysis of consumption behaviour concerning current income and lags consumption: Empirical evidence from Pakistan

As in other economies, consumption expenditure is the largest component of the Gross Domestic Product (GDP) of Pakistan economy. The figure has been estimated around 80 percent of the GDP and demonstrates that historically, Pakistan’s economic growth is characterized as consumption-led growth. The present paper aims to explore the relationship between income and consumption using annual time series data for the period: 1975 to 2012 in Pakistan. For empirical investigation the linear regression model and the method of Least Squares is used as analytical techniques. Empirical results support the existence of a significant positive relationship between income and consumption. The finding suggests that long term committed planning is indispensable to enhance the productive capacity of the economy, employment opportunities and reduce poverty levels more effectively

The effects of PGF2α and CIDR on ovarian antral follicular development and plasma IGF-1 concentration in goats.

The aim of this study was to determine the effects of oestrus synchronization with PGF2α, and CIDR on the ovarian antral follicle population and plasma IGF-1 concentration in goats. Daily transrectal ultrasonographic examination was conducted in 24 regularly cycling goats that were divided equally into 3 groups and oestrus synchronized with PGF2α, (group A), CIDR (group B) and unsynchronized group (C). The mean number of follicles and IGF-1 concentration was significantly higher in the synchronized and subsequent natural oestrous cycles of group A and B when compared to group C. The total number of 3mm diameter follicles were significatly higher in groups A and B compared with the control group C while the follicles that were 6mm and larger were not significantly different (p>0.05). There was a significant low positive correlation (r = 0.14, N = 234) between IGF-1 concentration and the number of 3mm follicles and between plasma IGF-I concentration and number of follicles (r = 0.13, N = 234). In conclusion, oestrus synchronization with PGF2α, or CIDR was associated with increased plasma IGF-1 concentration and number of follicles compared with naturally cycling goats