Symmetric SOR Method for Absolute Complementarity Problems

We study symmetric successive overrelaxation (SSOR) method for absolute complementarity problems. Solving this problem is equivalent to solving the absolute value equations. Some examples are given to show the implementation and efficiency of the method

The Determinants of Services Sector Growth: A Comparative Analysis of Selected Developed and Developing Economies

This study empirically examines the possible factors that determine the services sector growth, both in selected developed and developing economies. For estimation purpose, the study employs the static as well as the dynamic panel data estimation technique with panel data over the period 1990-2014. The results suggest that GDP per capita, FDI net inflow, trade openness and innovations are the common factors that significantly affect the services sector growth both in developed and in developing economies. However, the productivity gap is the only factor that does not have any significant impact on services sector growth, both in developed and developing economies, which indicates that the Baumol's cost disease has been cured. Keywords: Services Sector Growth, Panel Data Analysis, Innovation

Physico-Chemical Properties and Fertility Status of District Rahim Yar Khan, Pakistan

Physico-chemical properties of soils in Rahim Yar Khan district of Punjab Province, Pakistan, were determined for better management. A total of 3198 soil samples collected from all tehsils of Rahim Yar Khan district (662 samples from Khan Pur, 800 samples from Liaquat Pur, 866 samples from Rahim Yar Khan and 870 soil samples from Sadiq Abad) were tested in Soil and Water Testing Laboratory, Bahawalpur, Pakistan during 2011-2013. Soil characteristics of Rahim Yar Khan district were evaluated through physical and chemical analyses. Representative soil samples received/collected from farmers fields were analyzed for texture, electrical conductivity (EC), pH, organic matter (OM), available phosphorus (P) and potassium (K) contents. Texture of the soils varied from sandy loam to loam. About 53% soils had EC values within the normal range (< 4 dS m-1). The pH values of 92% soils ranged from 7.5 to 8.5 with an average of 8.06 and 7% soils had pH > 8.5. About 93% soils were poor (< 0.86%) in organic matter and only 7% soil samples had satisfactory level of organic matter (0.86-1.29%). About 47% soils were poor( < 7 ppm) in available phosphorus,33 % samples had satisfactory level of  available phosphorus (7-14 ppm) and only 20 % samples had adequate level of  available phosphorus (>14 ppm) contents. The K status of most of soils was in satisfactory (50%) and adequate range (43%). The objective of present study is to assess the soil fertility and salinity status of Rahim Yar Khan district for formulation of optimum fertilizer recommendations for different crops grown in the area. Keywords: Soil Analysis, EC, pH, SOM, P, K, Rahim Yar Kha

Association patterns of volatile metabolites in urinary excretions among Type-2 Non-Insulin dependent diabetes patients

Background: Patterns of volatile metabolites in urine are important to detect abnormalities associated with diabetes. Present study was conducted to find out the excretion patterns of endogenously produced alcohols in urine for type 2 (Non-Insulin Dependent) diabetes mellitus. A cross sectional analytical study was conducted with duration extended from Jan to Mar 2015.Methods: The current study included 40 patients with chronic type 2 diabetes mellitus. In total, 10 sex and age matched subjects with no history of any disease were considered as controls. Blood sugar was estimated by autoanalyzer using standard kit of Merck following manufacturer`s instructions. Urine sugar was quantitatively detected by biuret reagent using titration technique. Urinary alcohol was identified and estimated by gas chromatography.  Urinary ketone bodies were estimated by urinary strip.Results: It was observed that level of fasting blood sugar was significantly increased (P<0.001) in patients as compared to their controls. The blood sugar and urinary alcohol in patients were 3.0% and 6.0% respectively. Urinary ketone bodies were found to be 2+. On the other hand urine sugar, alcohol and ketone bodies were not detected in the negative control subjects.Conclusions: It is concluded that urinary alcohol is endogenously produced in patients with type 2 diabetes due to uncontrolled hyperglycemia. However further work is needed to find out the ratio of urinary and blood alcohol which may confirm the present findings

Estimation of soil moisture using multispectral and FTIR techniques

AbstractSoil moisture is a key capricious in hydrological process, the accessibility of moisture content in soil reins the mechanism amid the land surface and atmospheric progression. Precise soil moisture determination is influential in the weather forecast, drought monitoring, hydrological modeling, agriculture management and policy making. The aims of the study were to estimate soil moisture through remotely sensed data (FTIR & optical) and establishment of the results with field measured soil moisture data. The ground measurements were carried out in 0–15cm depth. Permutation of normalized difference vegetation index (NDVI) and land surface temperature (LST) were taken to derive temperature vegetation dryness index (TVDI) for assessment of surface soil moisture. Correlation and regression analysis was conceded to narrate the TVDI with in situ calculated soil moisture. The spatial pattern of TVDI shows that generally low moisture distribution over study area. A significant (p<0.05) negative correlation of r=0.79 was found between TVDI and in situ soil moisture. The TVDI was also found adequate in temporal variation of surface soil moisture. The triangle method (TVDI) confers consistent appraisal of moisture situation and consequently can be used to evaluate the wet conditions. Furthermore, the appraisal of soil moisture using the triangular method (TVDI) was possible at medium spatial resolutions because the relationship of soil moisture with LST and NDVI lends an eloquent number of representative pixels for developing a triangular scatter plot

Improving spam email classification accuracy using ensemble techniques: a stacking approach

Spam emails pose a substantial cybersecurity danger, necessitating accurate classification to reduce unwanted messages and mitigate risks. This study focuses on enhancing spam email classification accuracy using stacking ensemble machine learning techniques.We trained and tested five classifiers: logistic regression, decision tree, K-nearest neighbors (KNN), Gaussian naive Bayes and AdaBoost. To address overfitting, two distinct datasets of spam emails were aggregated and balanced. Evaluating individual classifiers based on recall, precision and F1 score metrics revealed AdaBoost as the top performer. Considering evolving spam technology and new message types challenging traditional approaches, we propose a stacking method. By combining predictions from multiple base models, the stacking method aims to improve classification accuracy. The results demonstrate superior performance of the stacking method with the highest accuracy (98.8%), recall (98.8%) and F1 score (98.9%) among tested methods. Additional experiments validated our approach by varying dataset sizes and testing different classifier combinations. Our study presents an innovative combination of classifiers that significantly improves accuracy, contributing to the growing body of research on stacking techniques. Moreover, we compare classifier performances using a unique combination of two datasets, highlighting the potential of ensemble techniques, specifically stacking, in enhancing spam email classification accuracy. The implications extend beyond spam classification systems, offering insights applicable to other classification tasks. Continued research on emerging spam techniques is vital to ensure long-term effectiveness

Social Media Networking Sites Usage and Depression Among University Students During the COVID-19 Pandemic : The Mediating Roles of Social Anxiety and Loneliness

The current COVID-19 pandemic has resulted in increased psychological issues such as excessive social media networking sites usage (SMNSU), loneliness, social anxiety, and depression. In this quantitative study, we examined how SMNSU can directly and indirectly influence depression, with loneliness and social anxiety examined as mediator variables. A 39-item questionnaire was used to collect survey data on SMNSU, loneliness, social anxiety, and depression from 244 blended learning undergraduate students from universities in the Hunan province in China. Partial least squares structural equation modeling was conducted using SmartPLS 3.3.3 to measure the relationships between the stated variables of interest. Results indicated that SMNSU has a direct, significant, and positive relationship with depression. In terms of mediating effects, both loneliness and social anxiety have an intervening role in the association between SMNSU and depression. This study focused on the higher education sector of China by recruiting students who were enrolled in blended learning courses during the COVID-19 pandemic and experiencing psychological problems. We found that excessive SMNSU is associated with depression. Loneliness and social anxiety also increase depression along with excessive SMNSU among blended learning students during unprecedented situations, in this case, the COVID-19 pandemic. The valuable implications of these findings for teachers, counselors, and university managers are discussed, along with a consideration of future research directions.Peer reviewe

Effect of Despotic Leadership on Employee Turnover Intention : Mediating Toxic Workplace Environment and Cognitive Distraction in Academic Institutions

Despotic leadership builds adverse emotions and turnover intentions in the employees of an educational organization. This study investigated the relationships among despotic leadership, toxic workplace environment, cognitive distraction, and employee turnover intention. This study is based on social exchange theory (SET), social psychology theories of behavioral intention formation (such as the theory of reasoned action and the theory of planned behavior), and of the despotic leadership style. A survey questionnaire containing 28 items was completed by 240 faculty members from four Chinese universities. The responses were documented on a seven-point Likert scale. We applied PLS-SEM (partial least squares structural equation modeling) to measure the effects. The outcomes showed that despotic leadership influenced employee turnover intention in academic institutions. Toxic workplace environment correlates with employee turnover intention. Cognitive distraction also correlates with employee turnover intention. Toxic workplace environment mediates the relationship between despotic leadership and employee turnover intention. Similarly, cognitive distraction mediates the relationship between despotic leadership and employee turnover intention. The study concluded that despotic leadership, toxic workplace environment, and cognitive distraction might increase employee turnover intention. This study adds to the literature in the field of despotic leadership, toxic workplace environment, cognitive distraction, and employee turnover intention in academic institutions. Furthermore, it offers valuable and practical implications along with recommendations for future research.Peer reviewe

Minimalist Perspective on Legal Communication: A Case Study of English to Urdu Translation of Punjab Laws

Syntactic choices and complexity reduction make translation communicative for the readers. This paper underscores the syntactic choices as well as complexity reduction in Urdu translation of Punjab laws in English. The study focuses on legal communication in a minimalistic perspective. It draws upon the theory of minimalism proposed by Chomsky (1993), along with the three-stage model by Nida and Taber (1969). Data is analyzed by employing Burton’s (2021) clausal analysis. The legal data used for the research comprises Punjab laws in English and their Urdu translation. The findings reveal minimalism as a useful strategy in the translation process for reducing structure complexity and making the translation understandable to laypeople. The study is beneficial to English-Urdu translators since it instructs them on how to make their translations communicative, especially when dealing with legal texts. It is also useful for academics in the field of Translation Studies who are working on minimalist views.Keywords: minimalism, complexity reduction, legal translation, syntactic choices, communication