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A confident and effective education system focuses not only on the economic, social and cultural growth of learning groups but also on spiritual growth. Reinforcing the spiritual component of faculty helps the learner to process knowledge in complexities and also to formulate a good philosophy towards life. The paper takes an analytical approach to understand and measure the impact of workplace spirituality (WS) on the process of knowledge management (KM) in higher educational institutions (HEIs). Workplace spirituality is contextually considered as mindset and system with which employees perceive meaningfulness at work through understanding dynamics of their inner life. Knowledge management at workplace, not much understandable concept by academic institutions, is studied deeply and hence highlighted its importance of its effective implementation in the paper. The core execution of KM depends on how employees perceive Knowledge Incubation, Deposition, Assessment, Application, Dissemination at workplace and knowledge sharing intention (KSI). A total of 610 faculty/lecturers, from selected HEIs participated in the survey. The study is among very few, to empirically investigate KM in academic institutions and the impact of WS on KM and KSI.  The results confirmed significant positive association of spirituality dimensions with core and effective practices of KM. WS found to be strong predictor of KSI. The findings highlight the necessity of suitable management intervention for integrating spiritual culture in HEIs and for fostering suitable strategies to accelerate KSI of faculty.

Since the opening of Macau in December 1999, the gaming, tourism, and hotel industries have played an important role in supporting Macau’s economy. Macau’s economy has largely relied on the tourism and gaming industry. The COVID-19 in early 2020 swept the world, and Macau was not spared. According to statistics, as of mid-December 2020, Macau had 46 cases, 44 of which were imported cases. From the perspective of economic growth and other conditions, there has been a significant decline. Because the epidemic is still severely intensified and spread, Macau will continue to be affected. The article studies Macao’s control measures and economic assistance measures during the epidemic, and summarizes the changes in Macao’s key industries, and points out how to deal with the threat of the epidemic and other public health security incidents in the future, and enhance the stability of Macao’s economic development.

In the world under changing economic structure in industrial, agriculture and service sectors, many countries tried to acclimatize and make their own national policy strategies, especially trade policy as a public policy that is considered important to society and the nation. The government must issue policies and implement them to improve their country’s economic progress and improve the living of people to the people’s needs and also stakeholders. Therefore, if they viewed that a government policy is useful, people will support their government more. It demonstrates relationships between people and the government. Especially, the 21st century is a century when the center of the world will move from the west to the east, i.e. Asia so that in the development of national economic policy, it is necessary to understand the trends and changes that are about to occur to be able to determine the direction and strategy of policy development in accordance with changes. This paper presents the definitions, significance and characteristics of public policy on international trade in Southeast Asia, as well as concepts and theories on public policy on international trade, actors in policymaking, and public policy on international trade in Southeast Asia, the impact of public policy on international trade, trends and directions of public policy on international trade. Opportunities and risks of Thailand is also presented to study the overview and relationships between Thailand and other countries in terms of public policy on international trade as a developing country that is a part of the global production network to acclimatize and prepare to improve, by using the methodology of document analysis. Therefore, this paper would help to study public policy on international trade, to understand the relationships in policymaking implementation and to support and develop trade cooperation in various aspects in this region.

This study examines the relationship between exchange rate volatility and macroeconomic performance in Nigerian from the period of 1986-2019. Using Bounds Co-Integration Test and auto-redistribution lag model (ARDL). The result shows that the short run result showed that the exchange rate has a positive association with GDP in the current period, but that the relationship is negative in the lagged periods. The link is negative in the long run, which is consistent with a priori expectations. In the long run, interest rates have a positive relationship with gross domestic product (GDP). The study recommends among other things that the Nigerian government must ensure that the exchange rate does not continue to depreciate, as this will stifle economic growth. When the supply of foreign currencies in the economy is low, the central bank should pump in more foreign currency to keep the exchange rate market stable within the economy.

The study was undertaken to evaluate the technical and economic performance of Sifang brand rice combine harvester in the haor area during the Boro season, 2020. Data on field capacity, time distribution in the harvesting loss, turning events, forward speed, fuel consumption, loss in harvesting, cost distribution and break-even area were collected. Harvesting speed ranged from 1.40-1.90 km h-1 and actual field capacity ranged from 0.09-0.12 ha h-1. Harvester machine was operated 1 (low) gear position. Crop density was observed higher, and the machine was operated at low speed to avoid clogging in the feeding section. The size of the land should be at least 500 m2 to operate the Sifang combine harvester having a cutting width of 1m at full capacity. Sifang combine harvester should be run the field having more than 25 m length. Combine harvester spent 45% time in harvesting¸ 17% time in turn, and the remaining 38% of the total time was expended in repairing, idle, work stop due to rain. The average fuel consumption was recorded as 17 l ha-1. The harvesting loss was observed at 2.13%. Grain was spilled away while gathering cut crops due to a lack of proper inclination of the header unit. The power delivery system should be modified to get the desired performance. The combine harvester was unable to develop sufficient traction in soft soil during the harvesting period in the haor area. The break-even area of the combine harvester was 7.5 ha. The combine harvester ought to be assessed under a wide scope of crop and soil conditions across various agro-ecological zones of Bangladesh. This would offer smallholder farmers assorted alternatives of rice harvesting mechanization to encourage future adoption of improved harvesting innovations.

Diabolo is a popular game in which the object can be spun at speeds of up to 5000 rpm. This high spin velocity gives the diabolo the necessary angular momentum to remain stable. The shape of the diabolo generates an interesting airflow pattern. The viscous air applies a resistive torque on the fast-spinning diabolo. Through computational fluid dynamics (CFD) simulations it’s shown that the resistive torque has an interesting dependence on the angular speed of the diabolo. Further, the geometric shape of the diabolo affects the dependence of torque on angular speed.

With the increase of the complexity of practical problems, the optimization of sparse linear equations becomes more and more important. Based on two kinds of solutions of linear equations: direct solution and iterative solution, this paper probes into the solutions of sparse matrix equations. For the direct solution, the Gauss elimination method without selecting pivot elements, column selecting pivot elements, and all selecting pivot elements is selected to explore the performance of sparse matrix solution for triplet storage. For the iterative method, we select the GMRES method and explore three methods including general GMRES, GMRES with LU pretreatment, and GMRES with LU pretreatment and restart. Finally, we compare and analyze the performance differences of all the above direct and iterative solutions, and find that the GMRES method restarted after incomplete LU decomposition can be used as a better general solution of general linear sparse matrix equations. At the same time, the applicable matrices of various methods and their shortcomings are given.

A herpetological survey was undertaken in the Cleopatra’s Needle Mountain Range in Palawan, Philippines, on December 3-12, 2015 organized by the Center for Sustainability – a non-government, non-profit environmental organization in Palawan. The survey aimed to gather initial data on wildlife, including reptiles and amphibian populations from this biogeographically distinct region as supplementary requirements for its declaration as an officially protected area. The survey led to the rediscovery of Malatgan River Caecilian (Ichthyophis Weberi Taylor, 1920) in Palawan, Philippines – an elusive caecilian that has not been observed since 1961. We described here several aspects of the biogeography of the species in Palawan biogeographic region, Philippines.

The study was conceptualized to assess the effect of somatic cell count on the quality of raw milk and soft-white cheese. Cow’s milk was classified into normal (T1), trace (T2) and positive 1 (T3) based on the direct microscopic somatic cell count (SCC). Soft-white cheese was subjected to quality changes; such as physio-chemical compositions: pH, titratable acidity, moisture content, total solids, protein and fat recovery; and total microbial count. Milk samples were subjected to quality analyses prior to cheese manufacture. All samples passed the alcohol precipitation and clot-on-boiling tests. Significant differences were observed in the pH, titratable acidity, moisture, protein, fat and total solids contents of cheese made from T1, T2 and T3 milk. Cheese from normal milk had the lowest titratable acidity from day 0 until day 11 indicating its good keeping quality. The high number of microbial counts even on the 0 days of storage has been observed in soft-white cheese made from the high number of somatic cells. The findings of the study indicate that milk with elevated SCC could compromise the typical sensory quality of the product and could pass the standard quality assessment; however, the quality of the resulting product would be inferior to normal milk. It is recommended that SCC determination be included in the quality assessment protocol on the farm.

Automatic Student performance prediction is a crucial job due to the large volume of data in educational databases. This job is being addressed by educational data mining (EDM). EDM develop methods for discovering data that is derived from educational environment. These methods are used for understanding student and their learning environment. The educational institutions are often curious that how many students will be pass/fail for necessary arrangements. In previous studies, it has been observed that many researchers have intension on the selection of appropriate algorithm for just classification and ignores the solutions of the problems which comes during data mining phases such as data high dimensionality, class imbalance and classification error etc. Such types of problems reduced the accuracy of the model. Several well-known classification algorithms are applied in this domain existing models a student performance prediction model based on supervised learning decision tree classifier. In addition, an ensemble method is applied to improve the performance of the classifier. Ensemble methods approach is designed to solve classification, prediction problem. we propose a method for predicting final grades of students by a Recurrent Neural Network (RNN) from the log data stored in the educational systems. We applied this method to the log data from 108 students and examined the accuracy of prediction. From the experimental results, comparing with multiple regression analysis, it is confirmed that an RNN is effective to early prediction of final and suitable job for the student based on their academic performance and knowledge on skill set.

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