Leadership From The Qur’an Relationship Between Taqwa, Trust And Business Leadership Effectiveness.

Walaupun kajian yang berterusan telah diadakan, dan minat yang semakin meningkat selama beberapa dekad, penyelidikan tentang kepimpinan telah mengabaikan elemen-elemen keagamaan, terutamanya daripada al-Qur’an, sebagai sumber ilmu pengetahuan. Despite decades of ongoing inquiry and increasing interest, research on leadership has ignored religious elements, especially from the Qur’an, as a source of knowledge. The first aim of the study was to reveal leadership concepts in the Qur’an

Isolation, Production and Characterization of Thermostable Lipase from Bacillus Sp. Strain L2

A thermostable lipolytic endospore forming Bacillus sp. strain L2 was isolated from a hot spring (91oC) in Slim River, Perak, Malaysia. Nutritional studies showed that casamino acid was the best nitrogen source while trehalose and Tween 60 were the best carbon source and substrate respectively, for lipase production. The enzyme production was promoted in the presence of metal ions such as Ca2+, Cu2+, Fe2+, Co2+, Zn2+, and Sr2+. The optimum lipase production was obtained in the presence of CaCl2. Physiological study indicate that, this strain showed optimal lipase production after 28 h of incubation at 70 oC with 1% starting inoculum. The enzyme was purified to homogeneity by ammonium sulphate precipitation and affinity column chromatography (Heparin), with 3 fold increase in specific activity and 48.9 % recovery. The purified enzyme produced a single band on SDS-PAGE. Its molecular mass was estimated to be 43 KDa. The optimum pH and temperature for L2 lipase were determined to be 7.0 and 80 oC, respectively. The III lipase was very stable for 2 h at 80 oC. The stability at higher temperature was shown to be calcium dependent. The lipase activity was enhanced by Fe2+and Ca2+ while Cu2+ inhibited it. The enzyme activity was strongly inhibited by PMSF and completely inhibited by pCMB. Substrates such as olive oil and sesame oil enhanced the lipase activity

Structures and properties of three new homobinuclear nanosized supramolecular copper coordination polymers derived from carboxylate type ligands and benzimidazole

Three new homobinuclear nanosized supramolecular copper coordination polymers are hydrothermally synthesized by self-assembly reaction of L-tyrosine (Tyr), terephthalic acid (H2bdc), pyromellitic acid (H4btec) and benzimidazole (Hbzim) with copper chloride salt to generate with formula [[Cu2(tyr)2(bzim)2(Cl)2(H2O)2]]n 1, [[Cu2(bdc)2(bzim)2(H2O)6].3H2O]n 2 and [Cu2(H2btec)(bzim)(H2O)6].2H2O]n 3, which have been investigated by elemental analysis, molar conductivity and magnetic measurements, FT-IR and UV-Vis spectroscopy, (TGA/DTA) thermal analysis and X-ray powder diffraction(XRPD) analysis as well as MM2 theoretical calculations. The magnetic moment and electronic spectra of the complexes are certainly indicating the octahedral geometries. Thermal analysis of the complexes confirms the suggested structures and thermal stability. The results of the XRPD analysis and the average nanosized values of the complexes have nanosized supramolecular polymers in the triclinic system. The MM2 theoretical calculations are supported by the proposed structures

Livelihoods analysis of landmine affected communities in Yemen (Volume I: main report)

The government of Yemen is committed to the complete elimination of landmines and explosive remnants of war. The National Mine Action Committee (NMAC) was established in June 1998 to formulate policy, allocate resources, and develop a national mine-action strategy. Furthermore, the Yemen Executive Mine Action Centre (YEMAC) was established in January 1999 as the implementing body of the NMAC with the primary responsibility of coordinating all mine-action activities in the country. The aim of the current Strategic Mine Action Plan is to put an end to the suffering and casualties caused by anti-personnel landmines, by the end of March 2009. As of September 2005, over 240 million square meters of affected land have been surveyed, cleared and returned to the local users. In 2005, the Mid-term Evaluation for strengthening national capacity for mine action in Yemen praised the achievements of YEMAC and NMAC to date, and also recommended that Community Rehabilitation become an integral part of mine action in Yemen in the future. This study was commissioned by YEMAC and the Geneva International Centre for Humanitarian Demining (GICHD), with the following objectives: 1. To assess the overall socio-economic returns from mine clearance investments; 2. to make a preliminary assessment of complementary development initiatives for mine-affected communities: and 3. to enhance the capacity of YEMAC to conduct future assessments of socio-economic benefits from mine action; assess the community Landmine Impact Scores as a tool for identifying impact and determining priorities for action; advise on how to design and conduct on-going socio-economic surveys relating to ERW; advise on integrating social differentiation within LIS survey protocols, and advise on enhancements to YEMAC’s monitoring and evaluation system

Livelihoods analysis of landmine affected communities in Yemen (Volume 2: annexes 1-11)

The government of Yemen is committed to the complete elimination of landmines and explosive remnants of war. The National Mine Action Committee (NMAC) was established in June 1998 to formulate policy, allocate resources, and develop a national mine-action strategy. Furthermore, the Yemen Executive Mine Action Centre (YEMAC) was established in January 1999 as the implementing body of the NMAC with the primary responsibility of coordinating all mine-action activities in the country. The aim of the current Strategic Mine Action Plan is to put an end to the suffering and casualties caused by anti-personnel landmines, by the end of March 2009. As of September 2005, over 240 million square meters of affected land have been surveyed, cleared and returned to the local users. In 2005, the Mid-term Evaluation for strengthening national capacity for mine action in Yemen praised the achievements of YEMAC and NMAC to date, and also recommended that Community Rehabilitation become an integral part of mine action in Yemen in the future. This study was commissioned by YEMAC and the Geneva International Centre for Humanitarian Demining (GICHD), with the following objectives: 1. To assess the overall socio-economic returns from mine clearance investments; 2. to make a preliminary assessment of complementary development initiatives for mine-affected communities: and 3. to enhance the capacity of YEMAC to conduct future assessments of socio-economic benefits from mine action; assess the community Landmine Impact Scores as a tool for identifying impact and determining priorities for action; advise on how to design and conduct on-going socio-economic surveys relating to ERW; advise on integrating social differentiation within LIS survey protocols, and advise on enhancements to YEMAC’s monitoring and evaluation system

Assembly sequence planning using hybrid binary particle swarm optimization

Assembly Sequence Planning (ASP) is known as a large-scale, timeconsuming combinatorial problem. Therefore time is the main factor in production planning. Recently, ASP in production planning had been studied widely especially to minimize the time and consequently reduce the cost. The first objective of this research is to formulate and analyse a mathematical model of the ASP problem. The second objective is to minimize the time of the ASP problem and hence reduce the product cost. A case study of a product consists of 19 components have been used in this research, and the fitness function of the problem had been calculated using Binary Particle Swarm Optimization (BPSO), and hybrid algorithm of BPSO and Differential Evolution (DE). The novel algorithm of BPSODE has been assessed with performance-evaluated criteria (performance measure). The algorithm has been validated using 8 comprehensive benchmark problems from the literature. The results show that the BPSO algorithm has an improved performance and can reduce further the time of assembly of the 19 parts of the ASP compared to the Simulated Annealing and Genetic Algorithm. The novel hybrid BPSODE algorithm shows a superior performance when assessed via performance-evaluated criteria compared to BPSO. The BPSODE algorithm also demonstrated a good generation of the recorded optimal value for the 8 standard benchmark problems

Electronic Records Management System Adoption Readiness Framework for Higher Professional Education Institutions in Yemen

Electronic records (e-records) are used to provide proof of organizational activities. E-records are crucial in complementing business functions, essential tool to assess organizational performance and are the core of good governance. E-records in Higher Professional Education (HPE) institutions contain valuable information in running the education business in an efficient and effective manner, supplying services consistently and in supporting effective performance evaluation and decisions. There are serious consequences and risk awaiting when the administrators of HPE are not based on information contained in e-records in making decisions. Well-informed decision makings would thus be impossible if electronic records are not efficiently and effectively managed using system. Therefore, Electronic Records Management System (ERMS) is an effective and efficient tool to hinder such a problem. Voluminous electronic records are created every day in HPE. The record keepers inclusive of records managers, archivists, administrators and IT personnel, who are the people essentially involved in creating, maintaining and preserving the contents of the e-records.  Thus, these personnel participatinginthe records keeping should identify the readiness of the HPE institutions to adopt ERMS. Therefore, the aim of this paper is to investigate the readiness of the Yemeni HPE institutions to adopt the ERMS. The study involves interviewing 20 specialists from Yemeni HPE institutions who are involved in ERMS. The findings showed that in order to promote effective ERMS readiness in the HPE institutions, there should be a framework to be used as guidance in such process

Nanosized Supramolecular Coordination Polymers Derived from Divalent Metal Ions, 4-Pyridylacetate and Auxiliary Ligands Containing Nitrogen and Phosphorus Donors

A series of coordination polymers of Co(II), Ni(II), Cu(II) or Cd(II) comprising 4-pyridylacetate (pya) and certain auxiliary ligands including benzimidazole (Hbzim), 1,10-phenanthroline (phen), 2,2'-bipyridine (2,2'-bipy),  2-amino-4-methylthiazole (A-Mtz), quinazole (Quz), 2,5-dimethylpyrazine (dpmz), bis(diphenylphosphino)methane (dpm), 1,2-bis(diphenylphosphino)ethane (dpe) and 1,3-bis(diphenylphosphino) propane (dpp) were prepared  and characterized by spectroscopic, magnetic and  thermal techniques. In these coordination polymers 4-pyridylacetate coordinates to the metal ions in a monodentate fashion through the carboxylate oxygens and/or the pyridyl nitrogen. Octahedral structures around the metal ions were suggested for all the complexes. The kinetic analyses of the thermal decomposition of the complexes were studied using the Coats-Redfern equation. The kinetic and thermodynamic parameters of the thermal decomposition were also calculated and discussed. From the X-ray powder diffraction data, the crystal parameters as well as the particle sizes (15.7-18.7 nm) of the complexes could be evaluated. Some of the compounds exhibit catalytic activity. The biological activity of the compounds was screened as well. DOI: http://dx.doi.org/10.17807/orbital.v13i1.155

Game Application as Teaching Tool to Assist Mastering Installation of Three-Phase Motor Control Topic: Expert Perception

The learning and teaching process using conventional methods might cause students to be unable to highlight their true potential. Besides, it can be more difficult for teachers to choose the types of games that suit the curriculum and students' needs. Hence, this study aims to develop a game application as a teaching assistant tool for a three-phase direct online starter topic in Electrical Technology Malaysian Vocational Certificate subject for Vocational College students using the Android platform. Learning materials and games are developed using multimedia and interactive elements to attract students to be active in using the learning medium based on game applications as 21st-century learning tools. The development purpose of the game application is to give early exposure to students to the installation of three-phase motor control before going through the laboratory session. The behaviorism learning theory and Game development Life Cycle (GDLC) model, were implemented in the game application development in this research. The researcher used Unity 3D software is online software such as Canva and Microsoft PowerPoint design tools interactively to make a game-based learning application for the three-phase motor control installation subject. Based on the analysis of the findings, the experts agreed that the functionality of this three-phase Motor Control game application can be used well and is suitable to be used as a teaching aid. In addition, these research results can be used by teachers to increase students' interest and further make the learning process more interesting to improve student understanding

A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks

Computational intelligence methods play an important role for supporting smart networks operations, optimization, and management. In wireless sensor networks (WSNs), increasing the number of nodes has a need for transferring large volume of data to remote nodes without any loss. These large amounts of data transmission might lead to exceeding the capacity of WSNs, which results in congestion, latency, and packet loss. Congestion in WSNs not only results in information loss but also burns a significant amount of energy. To tackle this issue, a practical computational intelligence approach for optimizing data transmission while decreasing latency is necessary. In this article, a Softmax-Regressed-Tanimoto-Reweight-Boost-Classification- (SRTRBC-) based machine learning technique is proposed for effective routing in WSNs. It can route packets around busy locations by selecting nodes with higher energy and lower load. The proposed SRTRBC technique is composed of two steps: route path construction and congestion-aware MIMO routing. Prior to constructing the route path, the residual energy of the node is determined. After that, the residual energy level is analyzed using softmax regression to determine whether or not the node is energy efficient. The energy-efficient nodes are located, and numerous paths between the source and sink nodes are established using route request and route reply. Following that, the SRTRBC technique is used for congestion-aware routing based on buffer space and bandwidth capability. The path that requires the least buffer space and has the highest bandwidth capacity is picked as the optimal route path among multiple paths. Finally, congestion-aware data transmission is used to minimize latency and data loss along the route path. The simulation considers a variety of performance metrics, including energy consumption, data delivery rate, data loss rate, throughput, and delay, in relation to the amount of data packets and sensor nodes.publishedVersio