Relationship between Teachers’ Professional Commitment and Formative Assessment Practices as a Part of Curriculum Implementation at Secondary Level in Punjab

National Curriculum for English in Pakistan, reveals its intentions for acquiring language related international requirements concerning with career choices and furthering education. Formative assessment is at the center of students’ learning and is devised in the curriculum document providing basis for its implementation. Curriculum implementation is pivotal to classroom practices of teachers. Curriculum guides teachers to implement formative assessment. Professional commitment contributes enriching teacher’ classroom practices. Focus of the study was to examine formative assessment practices of teachers, as a part of curriculum implementation, in accordance with curriculum document and its relationship with professional commitment of secondary school English teachers. Study secures its significance for teachers, curriculum developers, and governmental agencies. Quantitative survey was the method adopted for the study and explanatory correlational design was used. Teachers, concerned with teaching of English at secondary level, from entire secondary schools working under the supervision of the Punjab province were the study population. Sampling procedure employed multistage stratified random sampling technique and 576 teachers were selected as study sample. Two questionnaires were developed that included questionnaire regarding implementation of formative assessment (QIFA) and teachers’ professional commitment scale (TPCS). Survey was conducted as a data collection strategy. In statistics, Mean and Spearman correlation were employed. Results revealed that professional commitment of teachers and their formative assessment practices were moderate. Results regarding relationship between the variables; professional commitment of teachers and their formative assessment practices were significant correlated. The study recommended school based teacher trainings to sensitize and enhance teachers’ awareness and practices towards formative assessment practices as a part of implementation process. Governmental agencies are needed to focus the situation of professional commitment of teachers and implementation of formative assessment as a part of implementation

Macroeconomic Indicators and Stock Market Development

The stock markets play a key role in both developing and advanced countries because it channelize idle money into productive investment and generate capital for businesses which boosts the economy up. Pakistan’s stock market is an emerging stock market. The main objective of the study is to check the contribution of macroeconomic indicator to the stock market development. In this study, an attempt is made to capture the macroeconomic determinants that effect more or less in stock market development. Karachi Stock Exchange (KSE) is taken as a representative stock exchange of Pakistan. This study considered Gross Domestic Saving (GDS), Money Supply (MS) and Foreign Remittances (FR) as explanatory variables and stock market development (SMD) takes as dependent variable. The study employed Phillips and Perron (PP) test for Stationarity. Finally the study utilized the ARDL to co-integration approach because it is more dominant and robust procedure to examine the short run and long run dynamic relationship. Autoregressive distributed lag (ARDL) and Error Correction Model used to find the relationship between the variables of selected econometric model. The ARDL to Co-integration results  showed that Gross domestic savings ,money supply positively contribute to the development of stock market in Pakistan in both short run and long run that are consistent with theoretical and conceptual framework and literature (See also; Raza et al., 2012; Adam and Tweneboah, 2009). Foreign remittances have insignificant effect in both short run and long run on stock market because most of the foreign remittances are used in consumption. CUSUM lines remained inside the critical bound at 5 percent significance level that guaranteed the stability of  model. Keywords: Stock Market development, Money Supply, Gross Domestic Saving, Foreign Remittance

Impact of Major Political Events on Stock Market Returns of Pakistan

The purpose of this study is to check the impact of various political events on Karachi stock exchange. For this purpose nine major political events were taken under study during the period of 2007 to 2012. These events were Emergency rule of Musharaf, Benazir Bhutto Assassination, 2008 General Elections of Pakistan, Resignation of Musharaf, Restoration of Chief Justice of Pakistan, Abbotabad Operation, Salala Attack, De-seating of Prime Minister and 2012 Elections of USA. For the purpose of this study, these events were divided into two categories one is those events that caused changed in government policy and the other is those events that did not caused change in government policy. “t” statistics was used to check the significance of every event. Results showed that only those events affected the returns of Karachi stock exchange that caused change in government policy where those events which did not cause change in government policy had no effects on returns of Karachi stock exchange. Moreover it was also seen that Karachi stock exchange readjust itself very quickly i.e. effect of any news did not last for more than  two days. Keywords: Political Instability, Stock Market Returns, Financial Market, Economic Growt

Theoretical and Numerical Evaluations of Electromagnetic Waves Energy Deposition within the Human Body Due to Exposure to Existent and Emerging Wireless Technologies

PhDIn this thesis, a comprehensive investigation of the state-of-the-art guidelines for the conducted schemes in the near vicinity of the human body has been provided. The primary objectives of this work have been mainly focused on the electromagnetic (EM) wave exposure at both the microwave and millimetre-wave (mm-wave) frequency bands, along with their thorough analyses for a number of wireless technologies, such as the smart meters (SMs) and multiple-input multiple-output (MIMO) antennas. This work has undertaken a detailed theoretical and numerical modelling, as well as experimental measurements to propose the frameworks for the exposure conditions regarding the advanced wireless systems and applications. The employed numerical methods have been validated using the finite integration technique (FIT)-based simulations. The specific absorption rate (SAR) distributions have been determined using the anatomically realistic human models at various frequency bands. In this regard, each human model is assigned with the age- and frequency-dependent (AFD) dielectric properties, based on the novel expressions. This has then resulted in the representation of dispersive and age-dependent dielectric properties, in order to potentially improve the accuracy of the current assessment methods. Moreover, a number of generalised exposure conditions involving the standing and sleeping postures have been assessed for the home area network operating at the microwave band. The obtained results on the study on the SMs have been partly used by the Public Health England to provide the practical guidelines for the improvement of the services provided for the public. Furthermore, an assessment of the MIMO mobile handset has been performed in two exposure conditions, involving calling and body worn postures. Some aspects of this MIMO study has shown higher absorption levels in comparison with the basic restriction limits. A new SAR estimation approach has also been adopted to address the compliance assessment issues at the mm-wave bands. Finally, this work has identified a number of key factors that cause the high absorption levels in the human body and has provided insight into the efficient techniques in order to reduce such effects

Frequency of Clinical Symptoms of Gastroesophageal Reflux Disease in Asthmatic Patients

Background: Gastroesophageal reflex is known as an acid reflex, is long term condition where stomach contents back into the oesophagus resulting in either symptoms or complications. GERD disease is caused by weakness or failure of the lower oesophageal sphincter. Symptoms include the acidic taste behind the mouth, heart burn, chest pain, difficult breathing and vomiting. Complication includes esophagitis, oesophageal strictures and barrettes oesophagus. Objective: The aim of this research was to introduce the symptoms of GERD disease in asthmatic patients and how these symptoms worsen the symptoms of asthma disease and what clinical pictures present with the asthmatic disease. Methodology: A designed performa was used to collect the data and after filling the performa, results were drawn and conclusion through the facts and the information given by patients. Results: In the present study among all 164 asthmatic patients, 70 (42.7%) patients showed dyspepsia, 58 (35.4%) were with chest burning, 23 (14%) were asking about chest pain, with acidic mouth taste were 39 (23.8%), 22 (13.4%) were feeling sore throat and 44 (26.8%) showed regurgitation reflex. Among these 164 patients 16 (9.8%) were smokers and 148 (90.2 %) were non-smokers. 47 (28.7%) were males and 117 (71.3%) were females. Conclusion: It is concluded that gastroesophageal reflux disease in asthmatic patients present symptoms of acidic mouth taste, chest burning, chest pain, dyspepsia, regurgitation reflex and sore throat

Calpastatin (CAST) gene polymorphism in Kajli, Lohi and Thalli sheep breeds

Calpastatin-encoding gene (<i>CAST</i>) is located on the fifth chromosome of sheep and it plays an  important role in the development of muscles and in meat tenderness. The present study was conducted to  investigate a calpastatin (CAST) gene polymorphism in Pakistani Thalli, Lohi and Kajli sheep breed. Random blood samples were collected from 300 animals (100 samples from each Thalli, Lohi and Kajli breeds).  Genomic DNA was extracted using phenol-chloroform extraction method. A 622 bp CAST gene segment (exon 1C/1D region) was amplified by polymerase chain reaction (PCR) using ovine specific primers. Restriction  fragment length polymorphisms (RFLPs) in the amplified fragments were studied using Msp1 restriction  enzyme. Frequencies of MM, MN and NN genotypes were found to be 77, 20 and 3% in Lohi breed and 68, 26 and 6% in Kajli breed respectively. In Thalli sheep, only the MM (80%) and MN (20%) genotypes were  detected. Chi-Square test (p < 0.05) showed that all the three populations used in this study were in Hardy-Weinberg equilibrium. By comparing the results of this study with those of previous studies, it seems that the MM genotype is the dominant genotype and the M allele is the dominant allele in small ruminant breeds belonging to different geographical locations.Key words: Thalli, Lohi, CAST gene, Kajli, polymorphism, Msp1, PCR-RFLP

Association patterns of Atrial Fibrillation with symptoms of metabolic syndrome

Background: Atrial fibrillation (AF) is the common cardiac arrhythmia in which heart beats irregularly usually greater than 100 beats per minutes. AF is well-documented public health problem causing substantial mortality and morbidity. Metabolic syndrome (MS) is a collection of metabolic risk factors like diabetes, hypertension, dyslipidemia, obesity and impaired glucose level that exists in one person. The aim of the present study is to find the relation between AF and MS.Methods: 100 patients of AF were sampled from Punjab Institute of Cardiology, Lahore from December, 2014 to June 2015. These patients were divided into two AF groups, 50 without MS and 50 with MS. 25 healthy subjects were also included for the comparison. Lipid profile was assessed by chemistry analyzer and serum insulin was measured by ELISA.Results: In our population, there was significantly high levels of insulin resistance (IR) and obesity in AF groups (without MS and with MS) as compared with healthy subjects (P<0.05). Highly significant differences was observed in relation with other parameters e.g. hypertension, hypertriglyceridemia, HDL-C among the studied groups (P<0.05). Significant positive correlation was observed between insulin and lipid profile (TC, TG, LDL) while inverse with HDL.Conclusion: The indictors of metabolic syndrome were significantly correlated with AF in the studied subjects, while IR was found significantly higher in MS group.

A comparative analysis of machine learning approaches for plant disease identification

Background: The problems to leaf in plants are very severe and they usually shorten the lifespan of plants. Leaf diseases are mainly caused due to three types of attacks including viral, bacterial or fungal. Diseased leaves reduce the crop production and affect the agricultural economy. Since agriculture plays a vital role in the economy, thus effective mechanism is required to detect the problem in early stages.Methods: Traditional approaches used for the identification of diseased plants are based on field visits which is time consuming and tedious. In this paper a comparative analysis of machine learning approaches has been presented for the identification of healthy and non-healthy plant leaves. For experimental purpose three different types of plant leaves have been selected namely, cabbage, citrus and sorghum. In order to classify healthy and non-healthy plant leaves color based features such as pixels, statistical features such as mean, standard deviation, min, max and descriptors such as Histogram of Oriented Gradients (HOG) have been used.Results:  382 images of cabbage, 539 images of citrus and 262 images of sorghum were used as the primary dataset. The 40% data was utilized for testing and 60% were used for training which consisted of both healthy and damaged leaves. The results showed that random forest classifier is the best machine method for classification of healthy and diseased plant leaves.Conclusion:  From the extensive experimentation it is concluded that features such as color information, statistical distribution and histogram of gradients provides sufficient clue for the classification of healthy and non-healthy plants