Relationship of the Big Five Personality Traits and Risk Aversion with Investment Intention of Individual Investors

SARWAR, Danish,SARWAR, Bilal,RAZ, Muhammad Asif,KHAN, Hadi Hassan,MUHAMMAD, Noor,AZHAR, Usman,ZAMAN, Nadeem uz,KASI, Mumraiz Khan Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12

This empirical research is aimed at testing the relationship of the big five personality traits namely openness to experience, extraversion, consciousness, agreeableness, neuroticism, and risk aversion with the investment intention of individual investors belonging to Balochistan, Pakistan. The primary data is collected through a self-administered questionnaire (a structured form that consists of a series of closed-ended and open-ended questions) from a sample of 397 active individual investors belonging to different districts of the province. The data is empirically analyzed by applying the Partial Least Square (PLS) path modeling technique by using the estimation package available in Smart-PLS. The findings of this study suggest that all the variables are statistically significant with investors' investment intention with risk aversion as the strongest predictor. Moreover, openness to experience, extraversion, consciousness, agreeableness, and risk are significantly and positively related to an investor's investment intention, whereas neuroticism is negatively related to an investor's investment intention. The results extended by this study can be used by financial planners and investment bankers to channelize the available financial resources in diversified portfolios. The results will help financial planners to make available diverse investment alternatives for investors in Balochistan, thus catering to their unique needs. Academia must offer courses on contemporary finance paradigm based on behavioral finance to enable future business graduates to make wise financial decisions.

Nutrient Intake, Acid Base Status and Growth Performance of Thalli Lambs Fed Varying Level of Dietary Cation-anion Difference

Sarwar, M.,Shahzad, M. Aasif,Nisa, Mahr-un Asian Australasian Association of Animal Productio 2007 Animal Bioscience Vol.20 No.11

Influence of -110, +110, +220 and +330 mEq/kg of dry matter (DM) dietary cation-anion difference (DCAD) on growth performance of Thalli lambs were examined in a randomized complete block design. Four DCAD diets were randomly allotted to four groups, with ten lambs in each group. A linear increase in nutrient intake was recorded with increasing DCAD level. The digestibilities of nutrients were higher in lambs fed -110 DCAD diet than those fed +110, +220 and +330 DCAD diets. Lambs fed +330 DCAD diet had higher nitrogen balance than those fed -110 and +110 DCAD diets. Blood pH and serum $HCO_3$ increased with increasing DCAD level. Serum chloride was higher in lambs fed -110 DCAD diet, while serum (Na+K)-(Cl+S) increased linearly with increasing DCAD level. Serum calcium increased with decreasing DCAD level while serum magnesium and phosphorus remained unaffected. Lambs fed -110 DCAD diet had higher Ca balance than those fed +110, +220 and +330 DCAD diets. Urine pH increased with increasing DCAD level. Lambs fed +220 and +330 DCAD diets gained more weight than those fed -110 and +110 DCAD diets. In conclusion, increased DCAD level not only increased the dry matter intake but also improved the weight gain of growing Thalli lambs.

Improved Long-term Stability of Dye-Sensitized Solar Cell by Zeolite Additive in Electrolyte

Sarwar, Saad,Ko, Kwan-Woo,Han, Jisu,Han, Chi-Hwan,Jun, Yongseok,Hong, Sungjun Elsevier 2017 ELECTROCHIMICA ACTA Vol.245 No.-

<P><B>Abstract</B></P> <P>In this study, we demonstrate dye-sensitized solar cells showing an improved long-term stability at a high temperature by incorporating Zeolite molecular sieve in ionic liquid based electrolytes. The short-circuit photocurrent density of devices with 5wt% of Zeolite molecular sieve increases by 17% on average relative to that of device without any additive, mainly owing to its light scattering effect. Moreover, the devices containing Zeolite molecular sieve show remarkable enhancement of the thermal stability at 60°C for a period of 1200hours under dark condition with a marginal variation of performance. On the contrary, the performance of devices without additives is continuously deteriorated during this period because of adverse effects of trace waters present in electrolytes, which can lead to dye molecules' detachment or degradation. This research study will pave a new way to fabricate thermally stable dye-sensitized solar cells with high efficiency.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Novel Nano-ZSM based electrolyte is prepared for DSSCs. </LI> <LI> Nano-ZSM additive acts as both incident light scatter and moisture scavenger. </LI> <LI> Nano-ZSM additive improves long-term thermal stability of DSSCs. </LI> </UL> </P>

Influence of Varying Level of Sodium Bicarbonate on Milk Yield and Its Composition in Early Lactating Nili Ravi Buffaloes

Sarwar, M.,Shahzad, M. Aasif,Nisa, Marhr-un Asian Australasian Association of Animal Productio 2007 Animal Bioscience Vol.20 No.12

Influence of varying level of sodium bicarbonate (SB) supplementation on milk yield and its composition was examined in a randomized complete block design in early lactating Nili Ravi buffaloes during summer. Four iso-nitrogenous and iso-caloric diets were formulated. The diet 0B contained 0 while LB, MB and HB diets contained 0.50, 1.0 and 1.50% SB levels, respectively. The diets were randomly allotted to twenty buffaloes, five in each group. A linear increase in nutrient and water intake was recorded with increasing SB level. Buffaloes fed MB and HB diets showed higher nitrogen balance than those fed 0B and LB diets. A significant increase in blood pH and serum bicarbonate was noticed with increasing SB level. Urine pH increased significantly with increased SB level. A linear increase in milk yield was also noticed with increasing SB level. Milk fat% increased significantly in buffaloes fed MB and HB diets compared with those fed 0B and LB diets. Buffaloes fed HB diet had higher conception rate and less services per conception than those fed 0B diet. This study indicated that a high SB diet not only increased dry matter and water intake, milk yield, milk fat% but also increased conception rate in early lactating buffaloes during summer.

In Situ Ruminal Digestion Kinetics of Forages and Feed Byproducts in Cattle and Buffalo

Sarwar, M.,Mahr-un-Nisa, Mahr-un-Nisa,Bhatti, S.A.,Ali, C.S. Asian Australasian Association of Animal Productio 1998 Animal Bioscience Vol.11 No.2

The relative disappearance and rate of degradation of dry matter (DM) and neutral detergent fiber (NDF) of nine different feedstuffs were determined by simultaneously suspending groups of substrates, using the nylon bags, in the rumen of males of Sahiwal cattle and Nili-Ravi buffalo. The digestion kinetics of leguminous forages (Lucerne, berseem and cowpeas) and feed byproducts (cotton seed cake, wheat bran and wheat straw) did not differ between the two species. However, the DM and NDF digestibilities and rates of digestion of grasses and wheat straw were greater in buffalo than in cow bulls, indicating that buffaloes are better converters of poor quality roughages than are Sahiwal. The lag time for DM of grasses did not differ between these two species but the NDF lag time was lower in buffalo than in cows, indicating that both the rate and lag time of digestion may be reliable indicators for assessing the NDF quality.

Nutritional Management for Buffalo Production

Sarwar, M.,Khan, M.A.,Nisa, M.,Bhatti, S.A.,Shahzad, M.A. Asian Australasian Association of Animal Productio 2009 Animal Bioscience Vol.22 No.7

The buffalo (Bubalus bubalis) is an important contributor to milk, meat, power, fuel and leather production in many developing countries. Buffaloes can be categorized into Asian and Mediterranean buffaloes. Asian buffalo includes two subspecies known as Riverine and Swamp types. Riverine (water buffalo) and Swamp buffaloes possess different genetics (50 vs. 48 chromosomes, respectively), morphology (body frame, body weight, horn shape and skin color) and behavior (wallowing in mud or water) and thus, are reared and used for different purposes. Low per head milk yield, poor reproductive performance (seasonal breeding behavior, anestrous, and longer calving interval) and low growth rate in buffaloes have been attributed to insufficient supply of nutrients. In many parts of Asia, where the buffalo is an integral part of the food chain and rural economy, irregular and inadequate availability of quality feedstuffs and their utilization are hampering the performance of this unique animal. Balanced nutrition and better management can enhance buffalo productivity. Many efforts have been made in the last few decades to improve nutrient supply and utilization in buffaloes. Recent research on locally available feed resources such as crop residues, and industrial by-products, dietary addition of micronutrients, use of performance modifiers and use of ruminally protected fat and protein sources have shown significant potential to improve growth, milk yield and reproductive performance of buffaloes. However, a number of issues, including establishment of nutrient requirements for dairy and beef, development of buffalo calf feeding systems, nutritional management of metabolic and reproductive anomalies, and understanding and exploitation of the buffalo gut ecosystem, need to be addressed. Extensive coordinated research and extension efforts are required for improved buffalo nutrition in developing countries.

Effect of Compost and Gypsum Application on the Chemical Properties and Fertility Status of Saline-Sodic Soil

Sarwar, Ghulam,Ibrahim, Muhammad,Tahir, Mukkram Ali,Iftikhar, Yasir,Haider, Muhammad Sajjad,Noor-Us-Sabah, Noor-Us-Sabah,Han, Kyung-Hwa,Ha, Sang-Keun,Zhang, Yong-Seon Korean Society of Soil Science and Fertilizer 2011 한국토양비료학회지 Vol.44 No.3

Salt-affected soils are present in Pakistan in significant quantity. This experiment was conducted to assess the effectiveness of compost for reclamation and compare its efficiency with gypsum. For this purpose, various combinations of compost and gypsum were used to evaluate their efficacy for reclamation. A saline-sodic field having $pH_s$ 8.90, $EC_e$ $5.94dS\;m^{-1}$ and SAR $34.5(mmol\;L^{-1})^{1/2}$, SP (saturation percentage) 42.29% and texture Sandy clay loam, gypsum requirement (GR) $8.75Mg\;ha^{-1}$ was selected for this study. The experiment comprised of seven treatments (control, gypsum alone, compost alone and different combinations of compost and gypsum based on soil gypsum requirements). Inorganic and organic amendments (gypsum and compost) were applied to a saline sodic soil. Rice and wheat crops were grown. Soil samples were collected from each treatment after the harvest of both crops and analyzed for chemical properties (electrical conductivity, soil reaction and sodium adsorption ratio) and fertility status (organic matter, available phosphorus and potassium contents) of soil. Results of this study revealed that compost and gypsum improved chemical properties (electrical conductivity, soil reaction and sodium adsorption ratio) of saline sodic soil to the desired levels. Similarly, all parameters of soil fertility like organic matter, available phosphorus and potassium contents were built up with the application of compost and gypsum.

An Ensemble Approach to Detect Fake News Spreaders on Twitter

Sarwar, Muhammad Nabeel,UlAmin, Riaz,Jabeen, Sidra International Journal of Computer ScienceNetwork S 2022 International journal of computer science and netw Vol.22 No.5

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

Effect of Feeding Saturated Fat on Milk Production and Composition in Crossbred Dairy Cows

Sarwar, Muhammad,Sohaib, Amer,Khan, Muhammad Ajmal,Nisa, Mahr-un Asian Australasian Association of Animal Productio 2003 Animal Bioscience Vol.16 No.2

To see the effect of Beragfat T-300, a by pass fat, on the production and composition of milk, four primiparous crossbred cows in their early lactation were used in a $4{\times}4$ Latin Square Design. Each period was of 30 days including 15 days of adjustment period. The diets were formulated to contain 0, 2.5, 3.5 and 4.5% of Bergafat and were isonitrogenous and isoenergetic. The intake of DM, OM, CP, NDF, ADF, Cellulose and ADL were not affected, however, the EE intake was increased by the supplementation of Bergafat in the diet of cows. The digestibilities of NDF and EE remained unaffected, whereas the digestibilites of DM, OM and CP were reduced. Milk yield remained unaltered, while 4%FCM yield increased as a result of adding Bergafat in the daily ration. Bergafat upto 4.5% of the diet DM can be added in the diet of crossbred cows without any adverse effect on the DM intake and digestibilities of DM and NDF. Furthermore, Bergafat does not cause any butter fat depression in the milk of cows.

Effectiveness of zinc application to minimize cadmium toxicity and accumulation in wheat (Triticum aestivum L.)

Sarwar, N.,Bibi, S.,Ahmad, M.,Ok, Y. S. Springer Science + Business Media 2014 Environmental Earth Sciences Vol.71 No.4